{
  "canonical_name": "danielguru/repomemory",
  "compilation_id": "pack_62b9719914b34412b73dfbd63590a1a7",
  "created_at": "2026-05-24T13:30:09.697832+00:00",
  "created_by": "project-pack-compiler",
  "feedback": {
    "carrier_selection_notes": [
      "viable_asset_types=mcp_config, recipe, host_instruction, eval, preflight",
      "recommended_asset_types=mcp_config, recipe, host_instruction, eval, preflight"
    ],
    "evidence_delta": {
      "confirmed_claims": [
        "identity_anchor_present",
        "capability_and_host_targets_present",
        "install_path_declared_or_better"
      ],
      "missing_required_fields": [],
      "must_verify_forwarded": [
        "Run or inspect `npx repomemory` in an isolated environment.",
        "Confirm the project exposes the claimed capability to at least one target host."
      ],
      "quickstart_execution_scope": "allowlisted_sandbox_smoke",
      "sandbox_command": "npx repomemory",
      "sandbox_container_image": "node:22-slim",
      "sandbox_execution_backend": "docker",
      "sandbox_planner_decision": "deterministic_isolated_install",
      "sandbox_validation_id": "sbx_6392962c3cc64b5dbbeb5a18289c565d"
    },
    "feedback_event_type": "project_pack_compilation_feedback",
    "learning_candidate_reasons": [],
    "template_gaps": []
  },
  "identity": {
    "canonical_id": "project_5944ca8382d01bd07f56bcbbd5b45131",
    "canonical_name": "danielguru/repomemory",
    "homepage_url": null,
    "license": "unknown",
    "repo_url": "https://github.com/DanielGuru/repomemory",
    "slug": "repomemory",
    "source_packet_id": "phit_79f38db753c64d92a40739ebb2886210",
    "source_validation_id": "dval_7f2262a6b9ee450d898985c76d5a9953"
  },
  "merchandising": {
    "best_for": "需要软件开发与交付能力，并使用 mcp_host的用户",
    "github_forks": null,
    "github_stars": null,
    "one_liner_en": "Persistent memory for AI coding agents. Hybrid search, auto-session capture, context routing.",
    "one_liner_zh": "Persistent memory for AI coding agents. Hybrid search, auto-session capture, context routing.",
    "primary_category": {
      "category_id": "software-development",
      "confidence": "medium",
      "name_en": "Software Development",
      "name_zh": "软件开发与交付",
      "reason": "matched_keywords:coding, git"
    },
    "target_user": "使用 mcp_host 等宿主 AI 的用户",
    "title_en": "repomemory",
    "title_zh": "repomemory 能力包",
    "visible_tags": [
      {
        "label_en": "Security & Permissions",
        "label_zh": "安全审查与权限治理",
        "source": "repo_evidence_project_characteristics",
        "tag_id": "product_domain-security-permissions",
        "type": "product_domain"
      },
      {
        "label_en": "Knowledge Base Q&A",
        "label_zh": "知识库问答",
        "source": "repo_evidence_project_characteristics",
        "tag_id": "user_job-knowledge-base-q-a",
        "type": "user_job"
      },
      {
        "label_en": "Workflow Automation",
        "label_zh": "流程自动化",
        "source": "repo_evidence_project_characteristics",
        "tag_id": "core_capability-workflow-automation",
        "type": "core_capability"
      },
      {
        "label_en": "Node-based Workflow",
        "label_zh": "节点式流程编排",
        "source": "repo_evidence_project_characteristics",
        "tag_id": "workflow_pattern-node-based-workflow",
        "type": "workflow_pattern"
      },
      {
        "label_en": "OpenAI-compatible",
        "label_zh": "OpenAI 兼容",
        "source": "repo_evidence_project_characteristics",
        "tag_id": "selection_signal-openai-compatible",
        "type": "selection_signal"
      }
    ]
  },
  "packet_id": "phit_79f38db753c64d92a40739ebb2886210",
  "page_model": {
    "artifacts": {
      "artifact_slug": "repomemory",
      "files": [
        "PROJECT_PACK.json",
        "QUICK_START.md",
        "PROMPT_PREVIEW.md",
        "HUMAN_MANUAL.md",
        "AI_CONTEXT_PACK.md",
        "BOUNDARY_RISK_CARD.md",
        "PITFALL_LOG.md",
        "REPO_INSPECTION.json",
        "REPO_INSPECTION.md",
        "CAPABILITY_CONTRACT.json",
        "EVIDENCE_INDEX.json",
        "CLAIM_GRAPH.json"
      ],
      "required_files": [
        "PROJECT_PACK.json",
        "QUICK_START.md",
        "PROMPT_PREVIEW.md",
        "HUMAN_MANUAL.md",
        "AI_CONTEXT_PACK.md",
        "BOUNDARY_RISK_CARD.md",
        "PITFALL_LOG.md",
        "REPO_INSPECTION.json"
      ]
    },
    "detail": {
      "capability_source": "Project Hit Packet + DownstreamValidationResult",
      "commands": [
        {
          "command": "npx repomemory",
          "label": "Node.js / npx · 官方安装入口",
          "source": "https://github.com/DanielGuru/repomemory#readme",
          "verified": true
        }
      ],
      "display_tags": [
        "安全审查与权限治理",
        "知识库问答",
        "流程自动化",
        "节点式流程编排",
        "OpenAI 兼容"
      ],
      "eyebrow": "软件开发与交付",
      "glance": [
        {
          "body": "判断自己是不是目标用户。",
          "label": "最适合谁",
          "value": "需要软件开发与交付能力，并使用 mcp_host的用户"
        },
        {
          "body": "先理解能力边界，再决定是否继续。",
          "label": "核心价值",
          "value": "Persistent memory for AI coding agents. Hybrid search, auto-session capture, context routing."
        },
        {
          "body": "未完成验证前保持审慎。",
          "label": "继续前",
          "value": "publish to Doramagic.ai project surfaces"
        }
      ],
      "guardrail_source": "Boundary & Risk Card",
      "guardrails": [
        {
          "body": "Prompt Preview 只展示流程，不证明项目已安装或运行。",
          "label": "Check 1",
          "value": "不要把试用当真实运行"
        },
        {
          "body": "mcp_host",
          "label": "Check 2",
          "value": "确认宿主兼容"
        },
        {
          "body": "publish to Doramagic.ai project surfaces",
          "label": "Check 3",
          "value": "先隔离验证"
        }
      ],
      "mode": "mcp_config, recipe, host_instruction, eval, preflight",
      "pitfall_log": {
        "items": [
          {
            "body": "README/documentation is current enough for a first validation pass.",
            "category": "能力坑",
            "evidence": [
              "capability.assumptions | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | README/documentation is current enough for a first validation pass."
            ],
            "severity": "medium",
            "suggested_check": "将假设转成下游验证清单。",
            "title": "能力判断依赖假设",
            "user_impact": "假设不成立时，用户拿不到承诺的能力。"
          },
          {
            "body": "未记录 last_activity_observed。",
            "category": "维护坑",
            "evidence": [
              "evidence.maintainer_signals | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | last_activity_observed missing"
            ],
            "severity": "medium",
            "suggested_check": "补 GitHub 最近 commit、release、issue/PR 响应信号。",
            "title": "维护活跃度未知",
            "user_impact": "新项目、停更项目和活跃项目会被混在一起，推荐信任度下降。"
          },
          {
            "body": "no_demo",
            "category": "安全/权限坑",
            "evidence": [
              "downstream_validation.risk_items | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | no_demo; severity=medium"
            ],
            "severity": "medium",
            "suggested_check": "进入安全/权限治理复核队列。",
            "title": "下游验证发现风险项",
            "user_impact": "下游已经要求复核，不能在页面中弱化。"
          },
          {
            "body": "no_demo",
            "category": "安全/权限坑",
            "evidence": [
              "risks.scoring_risks | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | no_demo; severity=medium"
            ],
            "severity": "medium",
            "suggested_check": "把风险写入边界卡，并确认是否需要人工复核。",
            "title": "存在评分风险",
            "user_impact": "风险会影响是否适合普通用户安装。"
          },
          {
            "body": "issue_or_pr_quality=unknown。",
            "category": "维护坑",
            "evidence": [
              "evidence.maintainer_signals | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | issue_or_pr_quality=unknown"
            ],
            "severity": "low",
            "suggested_check": "抽样最近 issue/PR，判断是否长期无人处理。",
            "title": "issue/PR 响应质量未知",
            "user_impact": "用户无法判断遇到问题后是否有人维护。"
          },
          {
            "body": "release_recency=unknown。",
            "category": "维护坑",
            "evidence": [
              "evidence.maintainer_signals | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | release_recency=unknown"
            ],
            "severity": "low",
            "suggested_check": "确认最近 release/tag 和 README 安装命令是否一致。",
            "title": "发布节奏不明确",
            "user_impact": "安装命令和文档可能落后于代码，用户踩坑概率升高。"
          }
        ],
        "source": "ProjectPitfallLog + ProjectHitPacket + validation + community signals",
        "summary": "发现 6 个潜在踩坑项，其中 0 个为 high/blocking；最高优先级：能力坑 - 能力判断依赖假设。",
        "title": "踩坑日志"
      },
      "snapshot": {
        "contributors": null,
        "forks": null,
        "license": "unknown",
        "note": "站点快照，非实时质量证明；用于开工前背景判断。",
        "stars": null
      },
      "source_url": "https://github.com/DanielGuru/repomemory",
      "steps": [
        {
          "body": "不安装项目，先体验能力节奏。",
          "code": "preview",
          "title": "先试 Prompt"
        },
        {
          "body": "理解输入、输出、失败模式和边界。",
          "code": "manual",
          "title": "读说明书"
        },
        {
          "body": "把上下文交给宿主 AI 继续工作。",
          "code": "context",
          "title": "带给 AI"
        },
        {
          "body": "进入主力环境前先完成安装入口与风险边界验证。",
          "code": "verify",
          "title": "沙箱验证"
        }
      ],
      "subtitle": "Persistent memory for AI coding agents. Hybrid search, auto-session capture, context routing.",
      "title": "repomemory 能力包",
      "trial_prompt": "# repomemory - Prompt Preview\n\n> Copy the prompt below into your AI host before installing anything.\n> Its purpose is to let you safely feel the project's workflow, not to claim the project has already run.\n\n## Copy this prompt\n\n```text\nYou are using an independent Doramagic capability pack for danielguru/repomemory.\n\nProject:\n- Name: repomemory\n- Repository: https://github.com/DanielGuru/repomemory\n- Summary: Persistent memory for AI coding agents. Hybrid search, auto-session capture, context routing.\n- Host target: mcp_host\n\nGoal:\nHelp me evaluate this project for the following task without installing it yet: Persistent memory for AI coding agents. Hybrid search, auto-session capture, context routing.\n\nBefore taking action:\n1. Restate my task, success standard, and boundary.\n2. Identify whether the next step requires tools, browser access, network access, filesystem access, credentials, package installation, or host configuration.\n3. Use only the Doramagic Project Pack, the upstream repository, and the source-linked evidence listed below.\n4. If a real command, install step, API call, file write, or host integration is required, mark it as \"requires post-install verification\" and ask for approval first.\n5. If evidence is missing, say \"evidence is missing\" instead of filling the gap.\n\nPreviewable capabilities:\n- Capability 1: Use the source-backed project context to guide one small, checkable workflow step.\n\nCapabilities that require post-install verification:\n- Capability 1: Use the source-backed project context to guide one small, checkable workflow step.\n- Capability 2: Use the source-backed project context to guide one small, checkable workflow step.\n\nCore service flow:\n1. overview: Repository Overview. Produce one small intermediate artifact and wait for confirmation.\n2. entrypoints: Entrypoints and Runtime Surface. Produce one small intermediate artifact and wait for confirmation.\n3. architecture: Architecture Evidence Map. Produce one small intermediate artifact and wait for confirmation.\n4. operations: Operations and Verification Boundaries. Produce one small intermediate artifact and wait for confirmation.\n\nSource-backed evidence to keep in mind:\n- https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0\n- https://github.com/DanielGuru/repomemory#readme\n- skills/repomemory/SKILL.md\n- skills/session-end/SKILL.md\n- skills/session-start/SKILL.md\n- README.md\n- package.json\n- src/index.ts\n- src/commands/analyze.ts\n- src/commands/dashboard.ts\n\nFirst response rules:\n1. Start Step 1 only.\n2. Explain the one service action you will perform first.\n3. Ask exactly three questions about my target workflow, success standard, and sandbox boundary.\n4. Stop and wait for my answers.\n\nStep 1 follow-up protocol:\n- After I answer the first three questions, stay in Step 1.\n- Produce six parts only: clarified task, success standard, boundary conditions, two or three options, tradeoffs for each option, and one recommendation.\n- End by asking whether I confirm the recommendation.\n- Do not move to Step 2 until I explicitly confirm.\n\nConversation rules:\n- Advance one step at a time and wait for confirmation after each small artifact.\n- Write outputs as recommendations or planned checks, not as completed execution.\n- Do not claim tests passed, files changed, commands ran, APIs were called, or the project was installed.\n- If the user asks for execution, first provide the sandbox setup, expected output, rollback, and approval checkpoint.\n```\n",
      "voices": [
        {
          "body": "当前没有项目级社区来源；不会把未抓取讨论包装成社会证明。",
          "items": [],
          "status": "待发现 Agent 补证",
          "title": "社区讨论"
        }
      ]
    },
    "homepage_card": {
      "category": "软件开发与交付",
      "desc": "Persistent memory for AI coding agents. Hybrid search, auto-session capture, context routing.",
      "effort": "安装已验证",
      "forks": null,
      "icon": "code",
      "name": "repomemory 能力包",
      "risk": "需复核",
      "slug": "repomemory",
      "stars": null,
      "tags": [
        "安全审查与权限治理",
        "知识库问答",
        "流程自动化",
        "节点式流程编排",
        "OpenAI 兼容"
      ],
      "thumb": "gray",
      "type": "MCP 配置"
    },
    "manual": {
      "markdown": "# https://github.com/DanielGuru/repomemory Project Manual\n\nGenerated on: 2026-05-22 13:34:09 UTC\n\n## Table of Contents\n\n- [Repository Overview](#overview)\n- [Entrypoints and Runtime Surface](#entrypoints)\n- [Architecture Evidence Map](#architecture)\n- [Operations and Verification Boundaries](#operations)\n\n<a id='overview'></a>\n\n## Repository Overview\n\n### Related Pages\n\nRelated topics: [Entrypoints and Runtime Surface](#entrypoints), [Architecture Evidence Map](#architecture), [Operations and Verification Boundaries](#operations)\n\n<details>\n<summary>Relevant source files</summary>\n\nThe following source files were used to generate this page:\n\n- [README.md](https://github.com/DanielGuru/repomemory/blob/main/README.md)\n- [package.json](https://github.com/DanielGuru/repomemory/blob/main/package.json)\n- [src/index.ts](https://github.com/DanielGuru/repomemory/blob/main/src/index.ts)\n- [src/commands/analyze.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/analyze.ts)\n- [src/commands/dashboard.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/dashboard.ts)\n- [src/commands/doctor.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/doctor.ts)\n- [src/commands/global.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/global.ts)\n- [src/commands/go.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/go.ts)\n- [src/commands/hook.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/hook.ts)\n- [src/commands/init.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/init.ts)\n- [src/commands/risk.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/risk.ts)\n- [src/commands/search.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/search.ts)\n</details>\n\n# Repository Overview\n\nThis page is generated from repository evidence because the Human Wiki provider was unavailable. It intentionally limits itself to README and file-tree facts.\n\n## README Evidence\n\n<div align=\"center\">\n\n# repomemory\n\n**Your codebase never forgets.**\n\nAI agents lose context every session. repomemory fixes that — one command creates a persistent, searchable knowledge base that any AI tool can read, search, and write to.\n\n[![npm version](https://img.shields.io/npm/v/repomemory.svg)](https://www.npmjs.com/package/repomemory)\n[![npm downloads](https://img.shields.io/npm/dm/repomemory.svg)](https://www.npmjs.com/package/repomemory)\n[![license](https://img.shields.io/npm/l/repomemory.svg)](https://github.com/DanielGuru/repomemory/blob/main/LICENSE)\n[![CI](https://github.com/DanielGuru/repomemory/actions/workflows/ci.yml/badge.svg)](https://github.com/DanielGuru/repomemory/actions)\n\n```bash\nnpx repomemory go\n```\n\n</div>\n\n---\n\n<div align=\"center\">\n\n<video src=\"https://github.com/DanielGuru/repomemory/raw/main/repomemory-demo.gif.mp4\" width=\"100%\" autoplay loop muted playsinline></video>\n\n</div>\n\n## The Problem\n\nEvery time you open a project with Claude Code, Cursor, Copilot, or any AI coding agent:\n\n- It re-discovers your architecture from scratch\n- It proposes changes that were already debated and rejected\n- It re-introduces bugs that were already fixed\n\nYour `CLAUDE.md` / `.cursorrules` helps, but it's static and gets stale.\n\n## The Solution\n\n```\n.context/\n├── index.md              ← Quick orientation (loaded every session)\n├── facts/                ← Architecture, database, deployment\n├── decisions/            ← \"We chose Drizzle over Prisma because...\"\n├── regressions/          ← \"This broke before. Here's what happened.\"\n├── preferences/          ← Your coding style — follows you across all repos\n├── sessions/             ← Auto-captured AI session summaries\n└── changelog/            ← Monthly git history syncs\n```\n\n**Facts** tell agents how things work. **Decisions** prevent re-debating. **Regressions** prevent re-breaking. **Preferences** teach agents how you code.\n\n## Quick Start\n\n### With an API key (Claude Code, terminal workflows)\n\n```bash\nnpx repomemory go\n```\n\nOne command: sets up global profile, creates `.context/`, configures Claude Code + Cursor, runs AI analysis, prints CLAUDE.md instructions.\n\n### With Cursor (no API key needed)\n\n```bash\nnpx repomemory setup cursor\n```\n\nThis installs everything Cursor needs:\n- **MCP server** in `~/.cursor/mcp.json` (auto-starts repomemory in every project)\n- **Rules** in `.cursor/rules/repomem\n\n[excerpt truncated]\n\n## Selected Source Inventory\n\n- `README.md`\n- `package.json`\n- `src/index.ts`\n- `src/commands/analyze.ts`\n- `src/commands/dashboard.ts`\n- `src/commands/doctor.ts`\n- `src/commands/global.ts`\n- `src/commands/go.ts`\n- `src/commands/hook.ts`\n- `src/commands/init.ts`\n- `src/commands/risk.ts`\n- `src/commands/search.ts`\n\n| File | Evidence role | Size |\n|---|---|---|\n| `README.md` | README/product and usage evidence | 9286 bytes |\n| `package.json` | package/runtime metadata | 2441 bytes |\n| `src/index.ts` | implementation surface | 9453 bytes |\n| `src/commands/analyze.ts` | implementation surface | 25880 bytes |\n| `src/commands/dashboard.ts` | implementation surface | 30872 bytes |\n| `src/commands/doctor.ts` | implementation surface | 10324 bytes |\n| `src/commands/global.ts` | implementation surface | 4226 bytes |\n| `src/commands/go.ts` | implementation surface | 12329 bytes |\n| `src/commands/hook.ts` | implementation surface | 3990 bytes |\n| `src/commands/init.ts` | implementation surface | 5766 bytes |\n| `src/commands/risk.ts` | implementation surface | 4006 bytes |\n| `src/commands/search.ts` | implementation surface | 5039 bytes |\n\nSource: `[README.md:1-120]()`\n\n---\n\n<a id='entrypoints'></a>\n\n## Entrypoints and Runtime Surface\n\n### Related Pages\n\nRelated topics: [Repository Overview](#overview), [Architecture Evidence Map](#architecture), [Operations and Verification Boundaries](#operations)\n\n<details>\n<summary>Relevant source files</summary>\n\nThe following source files were used to generate this page:\n\n- [README.md](https://github.com/DanielGuru/repomemory/blob/main/README.md)\n- [package.json](https://github.com/DanielGuru/repomemory/blob/main/package.json)\n- [src/index.ts](https://github.com/DanielGuru/repomemory/blob/main/src/index.ts)\n- [src/commands/analyze.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/analyze.ts)\n- [src/commands/dashboard.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/dashboard.ts)\n- [src/commands/doctor.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/doctor.ts)\n- [src/commands/global.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/global.ts)\n- [src/commands/go.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/go.ts)\n- [src/commands/hook.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/hook.ts)\n- [src/commands/init.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/init.ts)\n- [src/commands/risk.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/risk.ts)\n- [src/commands/search.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/search.ts)\n</details>\n\n# Entrypoints and Runtime Surface\n\nThe files below are the highest-signal candidates for how the project is installed, started, configured, or embedded. Treat this as an evidence map, not an inferred API contract.\n\n| File | Evidence role | Size |\n|---|---|---|\n| `README.md` | README/product and usage evidence | 9286 bytes |\n| `package.json` | package/runtime metadata | 2441 bytes |\n| `src/index.ts` | implementation surface | 9453 bytes |\n| `src/commands/analyze.ts` | implementation surface | 25880 bytes |\n| `src/commands/dashboard.ts` | implementation surface | 30872 bytes |\n| `src/commands/doctor.ts` | implementation surface | 10324 bytes |\n| `src/commands/global.ts` | implementation surface | 4226 bytes |\n| `src/commands/go.ts` | implementation surface | 12329 bytes |\n| `src/commands/hook.ts` | implementation surface | 3990 bytes |\n| `src/commands/init.ts` | implementation surface | 5766 bytes |\n| `src/commands/risk.ts` | implementation surface | 4006 bytes |\n| `src/commands/search.ts` | implementation surface | 5039 bytes |\n\nSource: `[README.md:1-120](https://github.com/DanielGuru/repomemory/blob/main/README.md)`\n\n---\n\n<a id='architecture'></a>\n\n## Architecture Evidence Map\n\n### Related Pages\n\nRelated topics: [Repository Overview](#overview), [Entrypoints and Runtime Surface](#entrypoints), [Operations and Verification Boundaries](#operations)\n\n<details>\n<summary>Relevant source files</summary>\n\nThe following source files were used to generate this page:\n\n- [README.md](https://github.com/DanielGuru/repomemory/blob/main/README.md)\n- [package.json](https://github.com/DanielGuru/repomemory/blob/main/package.json)\n- [src/index.ts](https://github.com/DanielGuru/repomemory/blob/main/src/index.ts)\n- [src/commands/analyze.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/analyze.ts)\n- [src/commands/dashboard.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/dashboard.ts)\n- [src/commands/doctor.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/doctor.ts)\n- [src/commands/global.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/global.ts)\n- [src/commands/go.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/go.ts)\n- [src/commands/hook.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/hook.ts)\n- [src/commands/init.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/init.ts)\n- [src/commands/risk.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/risk.ts)\n- [src/commands/search.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/search.ts)\n</details>\n\n# Architecture Evidence Map\n\nThis section maps source paths into likely architectural areas based on repository layout only. Claims that require execution are intentionally not made here.\n\n- `.`: `README.md`, `package.json`\n- `src`: `src/index.ts`, `src/commands/analyze.ts`, `src/commands/dashboard.ts`, `src/commands/doctor.ts`, `src/commands/global.ts`, `src/commands/go.ts`\n\nSource: `[package.json:1-120](https://github.com/DanielGuru/repomemory/blob/main/package.json)`\n\n---\n\n<a id='operations'></a>\n\n## Operations and Verification Boundaries\n\n### Related Pages\n\nRelated topics: [Repository Overview](#overview), [Entrypoints and Runtime Surface](#entrypoints), [Architecture Evidence Map](#architecture)\n\n<details>\n<summary>Relevant source files</summary>\n\nThe following source files were used to generate this page:\n\n- [README.md](https://github.com/DanielGuru/repomemory/blob/main/README.md)\n- [package.json](https://github.com/DanielGuru/repomemory/blob/main/package.json)\n- [src/index.ts](https://github.com/DanielGuru/repomemory/blob/main/src/index.ts)\n- [src/commands/analyze.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/analyze.ts)\n- [src/commands/dashboard.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/dashboard.ts)\n- [src/commands/doctor.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/doctor.ts)\n- [src/commands/global.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/global.ts)\n- [src/commands/go.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/go.ts)\n- [src/commands/hook.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/hook.ts)\n- [src/commands/init.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/init.ts)\n- [src/commands/risk.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/risk.ts)\n- [src/commands/search.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/search.ts)\n</details>\n\n# Operations and Verification Boundaries\n\nOperational guidance is limited to files that are present in the repository. Before using this project in an agent workflow, verify install, quickstart, and runtime behavior in a sandbox.\n\n- Documentation signal: `README.md`\n- Runtime/package signal: `package.json`\n- Source inspection signal: `src/index.ts`\n- Source inspection signal: `src/commands/analyze.ts`\n- Source inspection signal: `src/commands/dashboard.ts`\n- Source inspection signal: `src/commands/doctor.ts`\n- Source inspection signal: `src/commands/global.ts`\n- Source inspection signal: `src/commands/go.ts`\n- Source inspection signal: `src/commands/hook.ts`\n- Source inspection signal: `src/commands/init.ts`\n\nSource: `[src/index.ts:1-120](https://github.com/DanielGuru/repomemory/blob/main/src/index.ts)`\n\n---\n\n---\n\n## Doramagic Pitfall Log\n\nProject: danielguru/repomemory\n\nSummary: Found 6 potential pitfall items; 0 are high/blocking. Highest priority: capability - 能力判断依赖假设.\n\n## 1. capability · 能力判断依赖假设\n\n- Severity: medium\n- Evidence strength: source_linked\n- Finding: README/documentation is current enough for a first validation pass.\n- User impact: 假设不成立时，用户拿不到承诺的能力。\n- Suggested check: 将假设转成下游验证清单。\n- Guardrail action: 假设必须转成验证项；没有验证结果前不能写成事实。\n- Evidence: capability.assumptions | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | README/documentation is current enough for a first validation pass.\n\n## 2. maintenance · 维护活跃度未知\n\n- Severity: medium\n- Evidence strength: source_linked\n- Finding: 未记录 last_activity_observed。\n- User impact: 新项目、停更项目和活跃项目会被混在一起，推荐信任度下降。\n- Suggested check: 补 GitHub 最近 commit、release、issue/PR 响应信号。\n- Guardrail action: 维护活跃度未知时，推荐强度不能标为高信任。\n- Evidence: evidence.maintainer_signals | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | last_activity_observed missing\n\n## 3. security_permissions · 下游验证发现风险项\n\n- Severity: medium\n- Evidence strength: source_linked\n- Finding: no_demo\n- User impact: 下游已经要求复核，不能在页面中弱化。\n- Suggested check: 进入安全/权限治理复核队列。\n- Guardrail action: 下游风险存在时必须保持 review/recommendation 降级。\n- Evidence: downstream_validation.risk_items | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | no_demo; severity=medium\n\n## 4. security_permissions · 存在评分风险\n\n- Severity: medium\n- Evidence strength: source_linked\n- Finding: no_demo\n- User impact: 风险会影响是否适合普通用户安装。\n- Suggested check: 把风险写入边界卡，并确认是否需要人工复核。\n- Guardrail action: 评分风险必须进入边界卡，不能只作为内部分数。\n- Evidence: risks.scoring_risks | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | no_demo; severity=medium\n\n## 5. maintenance · issue/PR 响应质量未知\n\n- Severity: low\n- Evidence strength: source_linked\n- Finding: issue_or_pr_quality=unknown。\n- User impact: 用户无法判断遇到问题后是否有人维护。\n- Suggested check: 抽样最近 issue/PR，判断是否长期无人处理。\n- Guardrail action: issue/PR 响应未知时，必须提示维护风险。\n- Evidence: evidence.maintainer_signals | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | issue_or_pr_quality=unknown\n\n## 6. maintenance · 发布节奏不明确\n\n- Severity: low\n- Evidence strength: source_linked\n- Finding: release_recency=unknown。\n- User impact: 安装命令和文档可能落后于代码，用户踩坑概率升高。\n- Suggested check: 确认最近 release/tag 和 README 安装命令是否一致。\n- Guardrail action: 发布节奏未知或过期时，安装说明必须标注可能漂移。\n- Evidence: evidence.maintainer_signals | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | release_recency=unknown\n\n<!-- canonical_name: danielguru/repomemory; human_manual_source: deepwiki_human_wiki -->\n",
      "markdown_key": "repomemory",
      "pages": "draft",
      "source_refs": [
        {
          "evidence_id": "mcp_registry:io.github.DanielGuru/repomemory:1.3.0",
          "kind": "mcp_registry",
          "supports_claim_ids": [
            "claim_identity",
            "claim_distribution",
            "claim_capability"
          ],
          "url": "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0"
        },
        {
          "evidence_id": "art_f8054f97b5d74376abeba5208eac824b",
          "kind": "docs",
          "supports_claim_ids": [
            "claim_identity",
            "claim_distribution",
            "claim_capability"
          ],
          "url": "https://github.com/DanielGuru/repomemory#readme"
        }
      ],
      "summary": "DeepWiki/Human Wiki output with a Doramagic pitfall appendix.",
      "title": "repomemory 说明书",
      "toc": [
        "https://github.com/DanielGuru/repomemory Project Manual",
        "Table of Contents",
        "Repository Overview",
        "README Evidence",
        "repomemory",
        "The Problem",
        "The Solution",
        "Quick Start",
        "Doramagic 踩坑日志"
      ]
    }
  },
  "quality_gate": {
    "blocking_gaps": [],
    "category_confidence": "medium",
    "compile_status": "ready_for_review",
    "five_assets_present": true,
    "install_sandbox_verified": true,
    "missing_evidence": [],
    "next_action": "publish to Doramagic.ai project surfaces",
    "prompt_preview_boundary_ok": true,
    "publish_status": "publishable",
    "quick_start_verified": true,
    "repo_clone_verified": true,
    "repo_commit": "b5b9d25a1ba13198eaaa2bd672e6181deeb5dee9",
    "repo_inspection_error": null,
    "repo_inspection_files": [
      "package.json",
      "README.md",
      "src/index.ts",
      "src/mcp/server.ts",
      "src/lib/search.ts",
      "src/lib/git.ts",
      "src/lib/ai-provider.ts",
      "src/lib/config.ts",
      "src/lib/git-intelligence.ts",
      "src/lib/embeddings.ts",
      "src/lib/context-store.ts",
      "src/lib/repo-scanner.ts",
      "src/lib/json-repair.ts",
      "src/types/sql.js.d.ts",
      "src/commands/wizard.ts",
      "src/commands/global.ts",
      "src/commands/hook.ts",
      "src/commands/doctor.ts",
      "src/commands/analyze.ts",
      "src/commands/search.ts",
      "src/commands/setup.ts",
      "src/commands/dashboard.ts",
      "src/commands/init.ts",
      "src/commands/serve.ts",
      "src/commands/risk.ts",
      "src/commands/sync.ts",
      "src/commands/status.ts",
      "src/commands/go.ts"
    ],
    "repo_inspection_verified": true,
    "review_reasons": [
      "community_discussion_evidence_below_public_threshold"
    ],
    "tag_count_ok": true,
    "unsupported_claims": []
  },
  "schema_version": "0.1",
  "user_assets": {
    "ai_context_pack": {
      "asset_id": "ai_context_pack",
      "filename": "AI_CONTEXT_PACK.md",
      "markdown": "# repomemory - Doramagic AI Context Pack\n\n> 定位：安装前体验与判断资产。它帮助宿主 AI 有一个好的开始，但不代表已经安装、执行或验证目标项目。\n\n## 充分原则\n\n- **充分原则，不是压缩原则**：AI Context Pack 应该充分到让宿主 AI 在开工前理解项目价值、能力边界、使用入口、风险和证据来源；它可以分层组织，但不以最短摘要为目标。\n- **压缩策略**：只压缩噪声和重复内容，不压缩会影响判断和开工质量的上下文。\n\n## 给宿主 AI 的使用方式\n\n你正在读取 Doramagic 为 repomemory 编译的 AI Context Pack。请把它当作开工前上下文：帮助用户理解适合谁、能做什么、如何开始、哪些必须安装后验证、风险在哪里。不要声称你已经安装、运行或执行了目标项目。\n\n## Claim 消费规则\n\n- **事实来源**：Repo Evidence + Claim/Evidence Graph；Human Wiki 只提供显著性、术语和叙事结构。\n- **事实最低状态**：`supported`\n- `supported`：可以作为项目事实使用，但回答中必须引用 claim_id 和证据路径。\n- `weak`：只能作为低置信度线索，必须要求用户继续核实。\n- `inferred`：只能用于风险提示或待确认问题，不能包装成项目事实。\n- `unverified`：不得作为事实使用，应明确说证据不足。\n- `contradicted`：必须展示冲突来源，不得替用户强行选择一个版本。\n\n## 它最适合谁\n\n- **正在使用 Claude/Codex/Cursor/Gemini 等宿主 AI 的开发者**：README 或插件配置提到多个宿主 AI。 证据：`README.md` Claim：`clm_0004` supported 0.86\n- **希望把专业流程带进宿主 AI 的用户**：仓库包含 Skill 文档。 证据：`skills/repomemory/SKILL.md`, `skills/session-end/SKILL.md`, `skills/session-start/SKILL.md` Claim：`clm_0005` supported 0.86\n\n## 它能做什么\n\n- **AI Skill / Agent 指令资产库**（可做安装前预览）：项目包含可被宿主 AI 读取的 Skill 或 Agent 指令文件，可用于把专业流程带入 Claude、Codex、Cursor 等宿主。 证据：`skills/repomemory/SKILL.md`, `skills/session-end/SKILL.md`, `skills/session-start/SKILL.md` Claim：`clm_0001` supported 0.86\n- **多宿主安装与分发**（需要安装后验证）：项目包含插件或 marketplace 配置，说明它面向一个或多个 AI 宿主的安装和分发。 证据：`.claude-plugin/plugin.json` Claim：`clm_0002` supported 0.86\n- **命令行启动或安装流程**（需要安装后验证）：项目文档中存在可执行命令，真实使用需要在本地或宿主环境中运行这些命令。 证据：`AGENTS.md`, `CLAUDE.md`, `README.md` Claim：`clm_0003` supported 0.86\n\n## 怎么开始\n\n- `npx repomemory go` 证据：`README.md` Claim：`clm_0006` supported 0.86, `clm_0009` supported 0.86\n- `npx repomemory setup cursor` 证据：`README.md` Claim：`clm_0007` supported 0.86\n- `npx repomemory wizard` 证据：`README.md` Claim：`clm_0008` supported 0.86\n- `npx repomemory go --yes --provider anthropic --embedding-provider gemini --max-files 80` 证据：`README.md` Claim：`clm_0009` supported 0.86\n- `npx tsx src/index.ts --help` 证据：`AGENTS.md` Claim：`clm_0010` supported 0.86\n- `npm install -g repomemory@latest && repomemory --version` 证据：`CLAUDE.md` Claim：`clm_0011` supported 0.86\n\n## 继续前判断卡\n\n- **当前建议**：需要管理员/安全审批\n- **为什么**：继续前可能涉及密钥、账号、外部服务或敏感上下文，建议先经过管理员或安全审批。\n\n### 30 秒判断\n\n- **现在怎么做**：需要管理员/安全审批\n- **最小安全下一步**：先跑 Prompt Preview；若涉及凭证或企业环境，先审批再试装\n- **先别相信**：真实输出质量不能在安装前相信。\n- **继续会触碰**：命令执行、宿主 AI 配置、本地环境或项目文件\n\n### 现在可以相信\n\n- **适合人群线索：正在使用 Claude/Codex/Cursor/Gemini 等宿主 AI 的开发者**（supported）：有 supported claim 或项目证据支撑，但仍不等于真实安装效果。 证据：`README.md` Claim：`clm_0004` supported 0.86\n- **适合人群线索：希望把专业流程带进宿主 AI 的用户**（supported）：有 supported claim 或项目证据支撑，但仍不等于真实安装效果。 证据：`skills/repomemory/SKILL.md`, `skills/session-end/SKILL.md`, `skills/session-start/SKILL.md` Claim：`clm_0005` supported 0.86\n- **能力存在：AI Skill / Agent 指令资产库**（supported）：可以相信项目包含这类能力线索；是否适合你的具体任务仍要试用或安装后验证。 证据：`skills/repomemory/SKILL.md`, `skills/session-end/SKILL.md`, `skills/session-start/SKILL.md` Claim：`clm_0001` supported 0.86\n- **能力存在：多宿主安装与分发**（supported）：可以相信项目包含这类能力线索；是否适合你的具体任务仍要试用或安装后验证。 证据：`.claude-plugin/plugin.json` Claim：`clm_0002` supported 0.86\n- **能力存在：命令行启动或安装流程**（supported）：可以相信项目包含这类能力线索；是否适合你的具体任务仍要试用或安装后验证。 证据：`AGENTS.md`, `CLAUDE.md`, `README.md` Claim：`clm_0003` supported 0.86\n- **存在 Quick Start / 安装命令线索**（supported）：可以相信项目文档出现过启动或安装入口；不要因此直接在主力环境运行。 证据：`README.md` Claim：`clm_0006` supported 0.86, `clm_0009` supported 0.86\n\n### 现在还不能相信\n\n- **真实输出质量不能在安装前相信。**（unverified）：Prompt Preview 只能展示引导方式，不能证明真实项目中的结果质量。\n- **宿主 AI 版本兼容性不能在安装前相信。**（unverified）：Claude、Cursor、Codex、Gemini 等宿主加载规则和版本差异必须在真实环境验证。\n- **不会污染现有宿主 AI 行为，不能直接相信。**（inferred）：Skill、plugin、AGENTS/CLAUDE/GEMINI 指令可能改变宿主 AI 的默认行为。 证据：`.claude-plugin/plugin.json`, `AGENTS.md`, `CLAUDE.md`, `skills/repomemory/SKILL.md` 等\n- **可安全回滚不能默认相信。**（unverified）：除非项目明确提供卸载和恢复说明，否则必须先在隔离环境验证。\n- **真实安装后是否与用户当前宿主 AI 版本兼容？**（unverified）：兼容性只能通过实际宿主环境验证。 证据：`.claude-plugin/plugin.json`\n- **项目输出质量是否满足用户具体任务？**（unverified）：安装前预览只能展示流程和边界，不能替代真实评测。\n- **安装命令是否需要网络、权限或全局写入？**（unverified）：这影响企业环境和个人环境的安装风险。 证据：`README.md`\n\n### 继续会触碰什么\n\n- **命令执行**：包管理器、网络下载、本地插件目录、项目配置或用户主目录。 原因：运行第一条命令就可能产生环境改动；必须先判断是否值得跑。 证据：`AGENTS.md`, `CLAUDE.md`, `README.md`\n- **宿主 AI 配置**：Claude/Codex/Cursor/Gemini/OpenCode 等宿主的 plugin、Skill 或规则加载配置。 原因：宿主配置会改变 AI 后续工作方式，可能和用户已有规则冲突。 证据：`.claude-plugin/plugin.json`, `AGENTS.md`, `CLAUDE.md`, `skills/repomemory/SKILL.md` 等\n- **本地环境或项目文件**：安装结果、插件缓存、项目配置或本地依赖目录。 原因：安装前无法证明写入范围和回滚方式，需要隔离验证。 证据：`.claude-plugin/plugin.json`, `AGENTS.md`, `CLAUDE.md`, `README.md`\n- **环境变量 / API Key**：项目入口文档明确出现 API key、token、secret 或账号凭证配置。 原因：如果真实安装需要凭证，应先使用测试凭证并经过权限/合规判断。 证据：`.context/facts/ai-providers.md`, `.context/facts/architecture.md`, `CLAUDE.md`, `README.md` 等\n- **宿主 AI 上下文**：AI Context Pack、Prompt Preview、Skill 路由、风险规则和项目事实。 原因：导入上下文会影响宿主 AI 后续判断，必须避免把未验证项包装成事实。\n\n### 最小安全下一步\n\n- **先跑 Prompt Preview**：用安装前交互式试用判断工作方式是否匹配，不需要授权或改环境。（适用：任何项目都适用，尤其是输出质量未知时。）\n- **只在隔离目录或测试账号试装**：避免安装命令污染主力宿主 AI、真实项目或用户主目录。（适用：存在命令执行、插件配置或本地写入线索时。）\n- **先备份宿主 AI 配置**：Skill、plugin、规则文件可能改变 Claude/Cursor/Codex 的默认行为。（适用：存在插件 manifest、Skill 或宿主规则入口时。）\n- **不要使用真实生产凭证**：环境变量/API key 一旦进入宿主或工具链，可能产生账号和合规风险。（适用：出现 API、TOKEN、KEY、SECRET 等环境线索时。）\n- **安装后只验证一个最小任务**：先验证加载、兼容、输出质量和回滚，再决定是否深用。（适用：准备从试用进入真实工作流时。）\n\n### 退出方式\n\n- **保留安装前状态**：记录原始宿主配置和项目状态，后续才能判断是否可恢复。\n- **准备移除宿主 plugin / Skill / 规则入口**：如果试装后行为异常，可以把宿主 AI 恢复到试装前状态。\n- **记录安装命令和写入路径**：没有明确卸载说明时，至少要知道哪些目录或配置需要手动清理。\n- **准备撤销测试 API key 或 token**：测试凭证泄露或误用时，可以快速止损。\n- **如果没有回滚路径，不进入主力环境**：不可回滚是继续前阻断项，不应靠信任或运气继续。\n\n## 哪些只能预览\n\n- 解释项目适合谁和能做什么\n- 基于项目文档演示典型对话流程\n- 帮助用户判断是否值得安装或继续研究\n\n## 哪些必须安装后验证\n\n- 真实安装 Skill、插件或 CLI\n- 执行脚本、修改本地文件或访问外部服务\n- 验证真实输出质量、性能和兼容性\n\n## 边界与风险判断卡\n\n- **把安装前预览误认为真实运行**：用户可能高估项目已经完成的配置、权限和兼容性验证。 处理方式：明确区分 prompt_preview_can_do 与 runtime_required。 Claim：`clm_0012` inferred 0.45\n- **宿主 AI 插件或 Skill 规则冲突**：新规则可能改变用户现有宿主 AI 的工作方式。 处理方式：安装前先检查插件 manifest 和 Skill 文件，必要时隔离测试。 证据：`.claude-plugin/plugin.json` Claim：`clm_0013` supported 0.86\n- **命令执行会修改本地环境**：安装命令可能写入用户主目录、宿主插件目录或项目配置。 处理方式：先在隔离环境或测试账号中运行。 证据：`AGENTS.md`, `CLAUDE.md`, `README.md` Claim：`clm_0014` supported 0.86\n- **待确认**：真实安装后是否与用户当前宿主 AI 版本兼容？。原因：兼容性只能通过实际宿主环境验证。\n- **待确认**：项目输出质量是否满足用户具体任务？。原因：安装前预览只能展示流程和边界，不能替代真实评测。\n- **待确认**：安装命令是否需要网络、权限或全局写入？。原因：这影响企业环境和个人环境的安装风险。\n\n## 开工前工作上下文\n\n### 加载顺序\n\n- 先读取 how_to_use.host_ai_instruction，建立安装前判断资产的边界。\n- 读取 claim_graph_summary，确认事实来自 Claim/Evidence Graph，而不是 Human Wiki 叙事。\n- 再读取 intended_users、capabilities 和 quick_start_candidates，判断用户是否匹配。\n- 需要执行具体任务时，优先查 role_skill_index，再查 evidence_index。\n- 遇到真实安装、文件修改、网络访问、性能或兼容性问题时，转入 risk_card 和 boundaries.runtime_required。\n\n### 任务路由\n\n- **AI Skill / Agent 指令资产库**：先基于 role_skill_index / evidence_index 帮用户挑选可用角色、Skill 或工作流。 边界：可做安装前 Prompt 体验。 证据：`skills/repomemory/SKILL.md`, `skills/session-end/SKILL.md`, `skills/session-start/SKILL.md` Claim：`clm_0001` supported 0.86\n- **多宿主安装与分发**：先说明这是安装后验证能力，再给出安装前检查清单。 边界：必须真实安装或运行后验证。 证据：`.claude-plugin/plugin.json` Claim：`clm_0002` supported 0.86\n- **命令行启动或安装流程**：先说明这是安装后验证能力，再给出安装前检查清单。 边界：必须真实安装或运行后验证。 证据：`AGENTS.md`, `CLAUDE.md`, `README.md` Claim：`clm_0003` supported 0.86\n\n### 上下文规模\n\n- 文件总数：120\n- 重要文件覆盖：40/120\n- 证据索引条目：80\n- 角色 / Skill 条目：3\n\n### 证据不足时的处理\n\n- **missing_evidence**：说明证据不足，要求用户提供目标文件、README 段落或安装后验证记录；不要补全事实。\n- **out_of_scope_request**：说明该任务超出当前 AI Context Pack 证据范围，并建议用户先查看 Human Manual 或真实安装后验证。\n- **runtime_request**：给出安装前检查清单和命令来源，但不要替用户执行命令或声称已执行。\n- **source_conflict**：同时展示冲突来源，标记为待核实，不要强行选择一个版本。\n\n## Prompt Recipes\n\n### 适配判断\n\n- 目标：判断这个项目是否适合用户当前任务。\n- 预期输出：适配结论、关键理由、证据引用、安装前可预览内容、必须安装后验证内容、下一步建议。\n\n```text\n请基于 repomemory 的 AI Context Pack，先问我 3 个必要问题，然后判断它是否适合我的任务。回答必须包含：适合谁、能做什么、不能做什么、是否值得安装、证据来自哪里。所有项目事实必须引用 evidence_refs、source_paths 或 claim_id。\n```\n\n### 安装前体验\n\n- 目标：让用户在安装前感受核心工作流，同时避免把预览包装成真实能力或营销承诺。\n- 预期输出：一段带边界标签的体验剧本、安装后验证清单和谨慎建议；不含真实运行承诺或强营销表述。\n\n```text\n请把 repomemory 当作安装前体验资产，而不是已安装工具或真实运行环境。\n\n请严格输出四段：\n1. 先问我 3 个必要问题。\n2. 给出一段“体验剧本”：用 [安装前可预览]、[必须安装后验证]、[证据不足] 三种标签展示它可能如何引导工作流。\n3. 给出安装后验证清单：列出哪些能力只有真实安装、真实宿主加载、真实项目运行后才能确认。\n4. 给出谨慎建议：只能说“值得继续研究/试装”“先补充信息后再判断”或“不建议继续”，不得替项目背书。\n\n硬性边界：\n- 不要声称已经安装、运行、执行测试、修改文件或产生真实结果。\n- 不要写“自动适配”“确保通过”“完美适配”“强烈建议安装”等承诺性表达。\n- 如果描述安装后的工作方式，必须使用“如果安装成功且宿主正确加载 Skill，它可能会……”这种条件句。\n- 体验剧本只能写成“示例台词/假设流程”：使用“可能会询问/可能会建议/可能会展示”，不要写“已写入、已生成、已通过、正在运行、正在生成”。\n- Prompt Preview 不负责给安装命令；如用户准备试装，只能提示先阅读 Quick Start 和 Risk Card，并在隔离环境验证。\n- 所有项目事实必须来自 supported claim、evidence_refs 或 source_paths；inferred/unverified 只能作风险或待确认项。\n\n```\n\n### 角色 / Skill 选择\n\n- 目标：从项目里的角色或 Skill 中挑选最匹配的资产。\n- 预期输出：候选角色或 Skill 列表，每项包含适用场景、证据路径、风险边界和是否需要安装后验证。\n\n```text\n请读取 role_skill_index，根据我的目标任务推荐 3-5 个最相关的角色或 Skill。每个推荐都要说明适用场景、可能输出、风险边界和 evidence_refs。\n```\n\n### 风险预检\n\n- 目标：安装或引入前识别环境、权限、规则冲突和质量风险。\n- 预期输出：环境、权限、依赖、许可、宿主冲突、质量风险和未知项的检查清单。\n\n```text\n请基于 risk_card、boundaries 和 quick_start_candidates，给我一份安装前风险预检清单。不要替我执行命令，只说明我应该检查什么、为什么检查、失败会有什么影响。\n```\n\n### 宿主 AI 开工指令\n\n- 目标：把项目上下文转成一次对话开始前的宿主 AI 指令。\n- 预期输出：一段边界明确、证据引用明确、适合复制给宿主 AI 的开工前指令。\n\n```text\n请基于 repomemory 的 AI Context Pack，生成一段我可以粘贴给宿主 AI 的开工前指令。这段指令必须遵守 not_runtime=true，不能声称项目已经安装、运行或产生真实结果。\n```\n\n\n## 角色 / Skill 索引\n\n- 共索引 3 个角色 / Skill / 项目文档条目。\n\n- **repomemory**（skill）：Search and manage your repository's persistent knowledge base. Use this to find architecture docs, past decisions, known regressions, coding preferences, and session notes before starting work. 激活提示：当用户任务与“repomemory”描述的流程高度相关时，先用它做安装前体验，再决定是否安装。 证据：`skills/repomemory/SKILL.md`\n- **session-end**（skill）：Record what you accomplished and discovered during this session. Routes conclusions to the right categories. 激活提示：当用户任务与“session-end”描述的流程高度相关时，先用它做安装前体验，再决定是否安装。 证据：`skills/session-end/SKILL.md`\n- **session-start**（skill）：Orient yourself at the start of a coding session. Loads project context, recent sessions, and relevant knowledge automatically. 激活提示：当用户任务与“session-start”描述的流程高度相关时，先用它做安装前体验，再决定是否安装。 证据：`skills/session-start/SKILL.md`\n\n## 证据索引\n\n- 共索引 80 条证据。\n\n- **repomemory — Instructions for AI Coding Agents**（documentation）：repomemory — Instructions for AI Coding Agents 证据：`AGENTS.md`\n- **repomemory — Agent Instructions**（documentation）：This repo uses repomemory https://github.com/DanielGuru/repomemory for persistent AI memory. 证据：`CLAUDE.md`\n- **repomemory**（documentation）：AI agents lose context every session. repomemory fixes that — one command creates a persistent, searchable knowledge base that any AI tool can read, search, and write to. 证据：`README.md`\n- **Package**（package_manifest）：{ \"name\": \"repomemory\", \"version\": \"1.11.0\", \"description\": \"Your codebase never forgets. Persistent, structured memory for AI coding agents.\", \"type\": \"module\", \"bin\": { \"repomemory\": \"dist/index.js\" }, \"exports\": { \".\": { \"types\": \"./dist/index.d.ts\", \"default\": \"./dist/index.js\" }, \"./mcp\": { \"types\": \"./dist/mcp/server.d.ts\", \"default\": \"./dist/mcp/server.js\" } }, \"scripts\": { \"sync:versions\": \"node scripts/sync-server-version.js\", \"check:release\": \"node scripts/check-release-consistency.js\", \"build\": \"npm run sync:versions && node scripts/build.js\", \"typecheck\": \"tsc --noEmit\", \"format\": \"prettier --write 'src/ / .ts' 'tests/ / .ts' 'scripts/ / .js'\", \"format:check\": \"prettier --check… 证据：`package.json`\n- **Contributing to repomemory**（documentation）：Thanks for your interest in contributing to repomemory! This guide will help you get set up and understand how the codebase works. 证据：`.github/CONTRIBUTING.md`\n- **repomemory — Repository Memory**（skill_instruction）：You have access to the repomemory MCP server which provides persistent knowledge for this codebase. 证据：`skills/repomemory/SKILL.md`\n- **Session End**（skill_instruction）：1. Summarize what was accomplished in this session 2. Route knowledge to the RIGHT categories — do NOT dump everything into sessions/: - New architectural facts - context write category=\"facts\", ... - Decisions made - context write category=\"decisions\", ... - Bugs/regressions found - context write category=\"regressions\", ... - Coding style preferences - context write category=\"preferences\", ... - The session overview itself - context write category=\"sessions\", ... 3. Include: files changed, decisions made, issues encountered, things learned 4. Be specific: include file paths, function names, and commands 证据：`skills/session-end/SKILL.md`\n- **Session Start**（skill_instruction）：1. Call context auto orient to get full project orientation in one call 2. Display the results: project overview, recent sessions, developer preferences, recently updated entries 3. If the context is empty, suggest running npx repomemory analyze 4. If the user mentioned a specific task, also run context search with relevant keywords 证据：`skills/session-start/SKILL.md`\n- **Plugin**（structured_config）：{ \"name\": \"repomemory\", \"version\": \"1.3.0\", \"description\": \"Persistent, structured memory for AI coding agents. Your codebase never forgets. Hybrid keyword + semantic search, auto-session capture, intelligent category routing.\", \"author\": \"DanielGuru\", \"homepage\": \"https://github.com/DanielGuru/repomemory\", \"license\": \"MIT\" } 证据：`.claude-plugin/plugin.json`\n- **License**（source_file）：Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files the \"Software\" , to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: 证据：`LICENSE`\n- **repomemory — Agent Quick Reference**（documentation）：What This Is A CLI tool + MCP server npm package: repomemory that gives AI coding agents persistent, structured memory for repositories. Agents search, write, and delete knowledge that persists across sessions. 证据：`.context/index.md`\n- **What This PR Does**（documentation）：A brief description of the changes in this pull request. 证据：`.github/PULL_REQUEST_TEMPLATE.md`\n- **Changelog**（documentation）：New Features - Git intelligence — New repomemory risk CLI command and context risk MCP tool. Analyzes git history for hotspot files high churn , hidden coupling co-change detection via Jaccard similarity , ownership concentration, and bus factor - Risk-aware agent workflow — context auto orient now surfaces top risk hotspots at session start; start-task prompt instructs agents to call context risk before modifying files; CLAUDE MD BLOCK includes risk assessment in \"Before modifying code\" instructions 证据：`CHANGELOG.md`\n- **Contributor Covenant Code of Conduct**（documentation）：Contributor Covenant Code of Conduct 证据：`CODE_OF_CONDUCT.md`\n- **repomemory Launch Copy**（documentation）：repomemory Launch Copy Ready to copy-paste. Fill in DEMO GIF HERE once you have the recording. 证据：`LAUNCH-COPY.md`\n- **Title**（documentation）：Title feat: harden onboarding/reliability + doctor diagnostics + CI/release consistency 证据：`PR-CODEX-HARDENING.md`\n- **repomemory — Product + Technical Review Codex**（documentation）：repomemory — Product + Technical Review Codex 证据：`REPO-CODEX-REVIEW.md`\n- **Security Policy**（documentation）：If you discover a security vulnerability in repomemory, please report it responsibly. 证据：`SECURITY.md`\n- **Changelog — 2026-02**（documentation）：- 6031efe v1.3.0 — 53 bug fixes, security hardening, community files DanielGuru, 1 second ago - fc541e5 fix: add missing scope type to context write args DanielGuru, 31 minutes ago - 0438430 v1.2.0 — Global developer context, 5 bug fixes, dogfooded .context/ DanielGuru, 33 minutes ago - c78d958 v1.1.1: Update changelog, sync package-lock, commit pending docs DanielGuru, 2 hours ago - a7f93e0 v1.1.1 — Fix 25 audit findings: security, bugs, and hardening DanielGuru, 2 hours ago - 15969b3 v1.1.0 — Hybrid search, auto-session capture, intelligent routing, preferences DanielGuru, 2 hours ago - b14c211 Revert \"Add v1.1 handover document for next development phase\" DanielGuru, 3 hours ago - 1fa83a… 证据：`.context/changelog/2026-02.md`\n- **Decision: Analysis Prompt V2 — Quality Over Quantity**（documentation）：Decision: Analysis Prompt V2 — Quality Over Quantity 证据：`.context/decisions/analysis-prompt-v2-design.md`\n- **Decision: Custom Build Script Instead of Plain tsc**（documentation）：Decision: Custom Build Script Instead of Plain tsc 证据：`.context/decisions/custom-build-script.md`\n- **Decision: TypeScript ESM + NodeNext Module Resolution**（documentation）：Decision: TypeScript ESM + NodeNext Module Resolution 证据：`.context/decisions/esm-nodenext.md`\n- **Decision: Use Null Byte Delimiter for Git Log Parsing**（documentation）：Decision: Use Null Byte Delimiter for Git Log Parsing 证据：`.context/decisions/git-null-byte-delimiter.md`\n- **Decision: Make go Command Interactive**（documentation）：Decision: Make go Command Interactive 证据：`.context/decisions/go-command-interactive.md`\n- **Decision: Hybrid Keyword + Vector Search**（documentation）：Decision: Hybrid Keyword + Vector Search 证据：`.context/decisions/hybrid-search.md`\n- **Decision: Extract JSON Repair to Separate Module**（documentation）：Decision: Extract JSON Repair to Separate Module 证据：`.context/decisions/json-repair-extraction.md`\n- **Rejected Feature Ideas — 2026-02-18**（documentation）：Rejected Feature Ideas — 2026-02-18 证据：`.context/decisions/rejected-feature-ideas-2026-02-18.md`\n- **Decision: Dirty Flag for Search Index Saves**（documentation）：Decision: Dirty Flag for Search Index Saves 证据：`.context/decisions/search-dirty-flag.md`\n- **Decision: Session Capture Threshold — Drop Duration Requirement**（documentation）：Decision: Session Capture Threshold — Drop Duration Requirement 证据：`.context/decisions/session-capture-threshold.md`\n- **Decision: Six Fixed Knowledge Categories**（documentation）：Decision: Six Fixed Knowledge Categories 证据：`.context/decisions/six-categories.md`\n- **Decision: sql.js Wasm SQLite for Search**（documentation）：Decision: sql.js Wasm SQLite for Search 证据：`.context/decisions/sql-js-wasm.md`\n- **v1.2: Global Context Layer**（documentation）：Decision Added a developer-layer global context at ~/.repomemory/global/ that persists across all repos. Preferences follow the developer; architecture/decisions/sessions stay repo-scoped. 证据：`.context/decisions/v12-global-context-layer.md`\n- **AI Provider System**（documentation）：Supported Providers Provider Env Var Notes ---------- --------- ------- anthropic ANTHROPIC API KEY Uses streaming .stream not .create openai OPENAI API KEY Standard gemini GEMINI API KEY Uses systemInstruction field grok GROK API KEY OpenAI-compatible 证据：`.context/facts/ai-providers.md`\n- **Architecture**（documentation）：Overview repomemory is a single-package CLI + MCP server. No microservices. Deployed as an npm package. 证据：`.context/facts/architecture.md`\n- **Build & Deployment**（documentation）：Build Script: scripts/build.js - Custom build script not tsc directly - Compiles TypeScript to dist/ - Adds shebang to dist/index.js — critical for CLI usage - If dist/index.js lacks !/usr/bin/env node , check this script 证据：`.context/facts/build-deploy.md`\n- **Claude Code Post-Commit Hook**（documentation）：What It Does After repomemory setup claude , a PostToolUse hook is installed at .claude/settings.json that fires after Bash commands containing git commit . It outputs a reminder to the agent to record context using context write . 证据：`.context/facts/claude-code-post-commit-hook.md`\n- **CLI Search Command**（documentation）：Added in v1.4.0. Searches repo + global context from the terminal. 证据：`.context/facts/cli-search-command.md`\n- **Doctor Command**（documentation）：repomemory doctor runs diagnostics and outputs a health report. 证据：`.context/facts/doctor-command.md`\n- **Fact: Repo Scanner Dotdir Allowlist**（documentation）：Fact: Repo Scanner Dotdir Allowlist 证据：`.context/facts/dotdir-allowlist.md`\n- **MCP Server Details**（documentation）：Session Tracking - Tracks all tool calls during a session - Auto-writes session summary to sessions/ on graceful shutdown SIGTERM/SIGINT - Works with ALL MCP clients — no hooks required 证据：`.context/facts/mcp-server.md`\n- **Non-Interactive Setup**（documentation）：Both go and wizard support deterministic, non-interactive execution for CI and scripting. 证据：`.context/facts/non-interactive-setup.md`\n- **Search System**（documentation）：Overview Hybrid search combining FTS5 keyword search sql.js Wasm SQLite with optional vector/semantic search. 证据：`.context/facts/search-system.md`\n- **TypeScript Style Preferences**（documentation）：Strict Mode tsconfig.json has \"strict\": true — all strict TypeScript checks enabled. 证据：`.context/preferences/typescript-style.md`\n- **Regression: Anthropic SDK Requires Streaming**（documentation）：Regression: Anthropic SDK Requires Streaming 证据：`.context/regressions/anthropic-streaming-required.md`\n- **Regression: context write Called listEntries on Every Write**（documentation）：Regression: context write Called listEntries on Every Write 证据：`.context/regressions/context-write-listentries-overhead.md`\n- **Regression: ESM require in Dashboard**（documentation）：Regression: ESM require in Dashboard 证据：`.context/regressions/dashboard-esm-require.md`\n- **Regression: Dry-Run Mode Validated API Key Unnecessarily**（documentation）：Regression: Dry-Run Mode Validated API Key Unnecessarily 证据：`.context/regressions/dry-run-api-key-validation.md`\n- **Regression: FTS5 Not Available in All sql.js Builds**（documentation）：Regression: FTS5 Not Available in All sql.js Builds 证据：`.context/regressions/fts5-fallback-missing.md`\n- **Regression: Global Search Index Had No Lazy-Init Fallback**（documentation）：Regression: Global Search Index Had No Lazy-Init Fallback 证据：`.context/regressions/global-search-index-no-lazy-init.md`\n- **Regression: init Command Auto-Modified CLAUDE.md**（documentation）：Regression: init Command Auto-Modified CLAUDE.md 证据：`.context/regressions/init-auto-modifying-claude-md.md`\n- **Regression: Path Traversal in readEntry and listEntries**（documentation）：Regression: Path Traversal in readEntry and listEntries 证据：`.context/regressions/path-traversal-readentry.md`\n- **Regression: searchLike Completely Non-Functional**（documentation）：Regression: searchLike Completely Non-Functional 证据：`.context/regressions/searchlike-broken-sql.md`\n- **Regression: Session Auto-Capture Never Fires in Production**（documentation）：Regression: Session Auto-Capture Never Fires in Production 证据：`.context/regressions/session-autocapture-stdin-close.md`\n- **Regression: setup claude Wrote to Wrong Config File**（documentation）：Regression: setup claude Wrote to Wrong Config File 证据：`.context/regressions/setup-claude-wrong-config-file.md`\n- **Comprehensive Audit of src/commands/ — 2026-02-18**（documentation）：Comprehensive Audit of src/commands/ — 2026-02-18 证据：`.context/sessions/2026-02-18-commands-audit.md`\n- **Comprehensive Audit Session — 2026-02-18**（documentation）：Comprehensive Audit Session — 2026-02-18 证据：`.context/sessions/2026-02-18-comprehensive-audit.md`\n- **v1.2 Implementation Session — 2026-02-18**（documentation）：v1.2 Implementation Session — 2026-02-18 证据：`.context/sessions/2026-02-18-v12-implementation.md`\n- **Session: Cursor MCP Integration**（documentation）：What Was Done Made repomemory Cursor-ready by adding full MCP server configuration, mirroring what setup claude already does. 证据：`.context/sessions/2026-02-19-cursor-mcp-integration.md`\n- **v1.7.0 Release Session — 2026-02-20**（documentation）：v1.7.0 Release Session — 2026-02-20 证据：`.context/sessions/2026-02-20-v170-release.md`\n- **v1.10.0 Release Session — 2026-02-22**（documentation）：v1.10.0 Release Session — 2026-02-22 证据：`.context/sessions/2026-02-22-v1100-release.md`\n- 其余 20 条证据见 `AI_CONTEXT_PACK.json` 或 `EVIDENCE_INDEX.json`。\n\n## 宿主 AI 必须遵守的规则\n\n- **把本资产当作开工前上下文，而不是运行环境。**：AI Context Pack 只包含证据化项目理解，不包含目标项目的可执行状态。 证据：`AGENTS.md`, `CLAUDE.md`, `README.md`\n- **回答用户时区分可预览内容与必须安装后才能验证的内容。**：安装前体验的消费者价值来自降低误装和误判，而不是伪装成真实运行。 证据：`AGENTS.md`, `CLAUDE.md`, `README.md`\n\n## 用户开工前应该回答的问题\n\n- 你准备在哪个宿主 AI 或本地环境中使用它？\n- 你只是想先体验工作流，还是准备真实安装？\n- 你最在意的是安装成本、输出质量、还是和现有规则的冲突？\n\n## 验收标准\n\n- 所有能力声明都能回指到 evidence_refs 中的文件路径。\n- AI_CONTEXT_PACK.md 没有把预览包装成真实运行。\n- 用户能在 3 分钟内看懂适合谁、能做什么、如何开始和风险边界。\n\n---\n\n## Doramagic Context Augmentation\n\nThe following material strengthens the Repomix/AI Context Pack body. Human Manual is only a reading skeleton; pitfall logs become hard operating constraints for the host AI.\n\n## Human Manual Skeleton\n\nUsage rule: this is only a reading path and salience signal, not factual authority. Concrete facts must still come from repo evidence / Claim Graph.\n\nHard rules for the host AI:\n- Do not treat page titles, order, summaries, or importance as project facts.\n- When explaining the Human Manual skeleton, state that it is only a reading path / salience signal.\n- Capability, installation, compatibility, runtime status, and risk judgments must cite repo evidence, source paths, or Claim Graph.\n\n- **Repository Overview**：importance `high`\n  - source_paths: README.md, package.json, src/index.ts, src/commands/analyze.ts, src/commands/dashboard.ts\n- **Entrypoints and Runtime Surface**：importance `high`\n  - source_paths: README.md, package.json, src/index.ts, src/commands/analyze.ts, src/commands/dashboard.ts\n- **Architecture Evidence Map**：importance `high`\n  - source_paths: README.md, package.json, src/index.ts, src/commands/analyze.ts, src/commands/dashboard.ts\n- **Operations and Verification Boundaries**：importance `high`\n  - source_paths: README.md, package.json, src/index.ts, src/commands/analyze.ts, src/commands/dashboard.ts\n\n## Repo Inspection Evidence\n\n- repo_clone_verified: true\n- repo_inspection_verified: true\n- repo_commit: `b5b9d25a1ba13198eaaa2bd672e6181deeb5dee9`\n- inspected_files: `package.json`, `README.md`, `src/index.ts`, `src/mcp/server.ts`, `src/lib/search.ts`, `src/lib/git.ts`, `src/lib/ai-provider.ts`, `src/lib/config.ts`, `src/lib/git-intelligence.ts`, `src/lib/embeddings.ts`, `src/lib/context-store.ts`, `src/lib/repo-scanner.ts`, `src/lib/json-repair.ts`, `src/types/sql.js.d.ts`, `src/commands/wizard.ts`, `src/commands/global.ts`, `src/commands/hook.ts`, `src/commands/doctor.ts`, `src/commands/analyze.ts`, `src/commands/search.ts`\n\nHard rules for the host AI:\n- Without repo_clone_verified=true, do not claim the source code has been read.\n- Without repo_inspection_verified=true, do not turn README/docs/package observations into facts.\n- Without quick_start_verified=true, do not claim the Quick Start has been successfully run.\n\n## Doramagic Pitfall Constraints\n\nThese rules come from Doramagic discovery, validation, or compilation pitfalls. The host AI must treat them as operating constraints, not general background notes.\n\n### Constraint 1: 能力判断依赖假设\n\n- Trigger: README/documentation is current enough for a first validation pass.\n- Host AI rule: 将假设转成下游验证清单。\n- Why it matters: 假设不成立时，用户拿不到承诺的能力。\n- Evidence: capability.assumptions | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | README/documentation is current enough for a first validation pass.\n- Hard boundary: do not present this pitfall as solved, verified, or safe to ignore unless later validation evidence explicitly closes it.\n\n### Constraint 2: 维护活跃度未知\n\n- Trigger: 未记录 last_activity_observed。\n- Host AI rule: 补 GitHub 最近 commit、release、issue/PR 响应信号。\n- Why it matters: 新项目、停更项目和活跃项目会被混在一起，推荐信任度下降。\n- Evidence: evidence.maintainer_signals | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | last_activity_observed missing\n- Hard boundary: do not present this pitfall as solved, verified, or safe to ignore unless later validation evidence explicitly closes it.\n\n### Constraint 3: 下游验证发现风险项\n\n- Trigger: no_demo\n- Host AI rule: 进入安全/权限治理复核队列。\n- Why it matters: 下游已经要求复核，不能在页面中弱化。\n- Evidence: downstream_validation.risk_items | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | no_demo; severity=medium\n- Hard boundary: do not present this pitfall as solved, verified, or safe to ignore unless later validation evidence explicitly closes it.\n\n### Constraint 4: 存在评分风险\n\n- Trigger: no_demo\n- Host AI rule: 把风险写入边界卡，并确认是否需要人工复核。\n- Why it matters: 风险会影响是否适合普通用户安装。\n- Evidence: risks.scoring_risks | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | no_demo; severity=medium\n- Hard boundary: do not present this pitfall as solved, verified, or safe to ignore unless later validation evidence explicitly closes it.\n\n### Constraint 5: issue/PR 响应质量未知\n\n- Trigger: issue_or_pr_quality=unknown。\n- Host AI rule: 抽样最近 issue/PR，判断是否长期无人处理。\n- Why it matters: 用户无法判断遇到问题后是否有人维护。\n- Evidence: evidence.maintainer_signals | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | issue_or_pr_quality=unknown\n- Hard boundary: do not present this pitfall as solved, verified, or safe to ignore unless later validation evidence explicitly closes it.\n\n### Constraint 6: 发布节奏不明确\n\n- Trigger: release_recency=unknown。\n- Host AI rule: 确认最近 release/tag 和 README 安装命令是否一致。\n- Why it matters: 安装命令和文档可能落后于代码，用户踩坑概率升高。\n- Evidence: evidence.maintainer_signals | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | release_recency=unknown\n- Hard boundary: do not present this pitfall as solved, verified, or safe to ignore unless later validation evidence explicitly closes it.\n",
      "summary": "Context and operating boundaries for host AI agents.",
      "title": "AI Context Pack"
    },
    "boundary_risk_card": {
      "asset_id": "boundary_risk_card",
      "filename": "BOUNDARY_RISK_CARD.md",
      "markdown": "# Boundary & Risk Card\n\nProject: danielguru/repomemory\n\n## Doramagic Trial Decision\n\nCurrent decision: it can enter pre-publication recommendation checks. First use should still start with least privilege, a temporary directory, and reversible configuration.\n\n## What The User Can Do Now\n\n- Read the Human Manual first to understand the project purpose and main workflows.\n- Use Prompt Preview for pre-install exploration; it validates interaction shape, not real execution.\n- Run official Quick Start commands only inside an isolated environment, not a primary setup.\n\n## Do Not Do Yet\n\n- Do not treat Prompt Preview as a real project execution result.\n- Do not treat metadata-only validation as sandbox installation validation.\n- Do not describe unverified capabilities as supported, working, or safe to install.\n- Do not provide production data, private files, real secrets, or primary host configuration on first trial.\n\n## Pre-Install Checklist\n\n- Host AI match: mcp_host\n- Official installation entry status: official entry point found\n- Isolated temporary directory, temporary host, or container validation: required\n- Configuration rollback path: required\n- API keys, network access, file access, or host configuration changes: treat as high risk until confirmed\n- Installation command, actual output, and failure logs: must be recorded\n\n## Current Blockers\n\n- review_required: community_discussion_evidence_below_public_threshold\n\n## Project-Specific Pitfalls\n\n- 能力判断依赖假设 (medium): 假设不成立时，用户拿不到承诺的能力。 Suggested check: 将假设转成下游验证清单。\n- 维护活跃度未知 (medium): 新项目、停更项目和活跃项目会被混在一起，推荐信任度下降。 Suggested check: 补 GitHub 最近 commit、release、issue/PR 响应信号。\n- 下游验证发现风险项 (medium): 下游已经要求复核，不能在页面中弱化。 Suggested check: 进入安全/权限治理复核队列。\n- 存在评分风险 (medium): 风险会影响是否适合普通用户安装。 Suggested check: 把风险写入边界卡，并确认是否需要人工复核。\n- issue/PR 响应质量未知 (low): 用户无法判断遇到问题后是否有人维护。 Suggested check: 抽样最近 issue/PR，判断是否长期无人处理。\n\n## Risk And Permission Notes\n\n- no_demo: medium\n\n## Evidence Gaps\n\n- No structured evidence gaps are currently visible.\n",
      "summary": "Installation, permission, validation, and pre-recommendation risks.",
      "title": "Boundary & Risk Card"
    },
    "human_manual": {
      "asset_id": "human_manual",
      "filename": "HUMAN_MANUAL.md",
      "markdown": "# https://github.com/DanielGuru/repomemory Project Manual\n\nGenerated on: 2026-05-22 13:34:09 UTC\n\n## Table of Contents\n\n- [Repository Overview](#overview)\n- [Entrypoints and Runtime Surface](#entrypoints)\n- [Architecture Evidence Map](#architecture)\n- [Operations and Verification Boundaries](#operations)\n\n<a id='overview'></a>\n\n## Repository Overview\n\n### Related Pages\n\nRelated topics: [Entrypoints and Runtime Surface](#entrypoints), [Architecture Evidence Map](#architecture), [Operations and Verification Boundaries](#operations)\n\n<details>\n<summary>Relevant source files</summary>\n\nThe following source files were used to generate this page:\n\n- [README.md](https://github.com/DanielGuru/repomemory/blob/main/README.md)\n- [package.json](https://github.com/DanielGuru/repomemory/blob/main/package.json)\n- [src/index.ts](https://github.com/DanielGuru/repomemory/blob/main/src/index.ts)\n- [src/commands/analyze.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/analyze.ts)\n- [src/commands/dashboard.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/dashboard.ts)\n- [src/commands/doctor.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/doctor.ts)\n- [src/commands/global.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/global.ts)\n- [src/commands/go.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/go.ts)\n- [src/commands/hook.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/hook.ts)\n- [src/commands/init.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/init.ts)\n- [src/commands/risk.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/risk.ts)\n- [src/commands/search.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/search.ts)\n</details>\n\n# Repository Overview\n\nThis page is generated from repository evidence because the Human Wiki provider was unavailable. It intentionally limits itself to README and file-tree facts.\n\n## README Evidence\n\n<div align=\"center\">\n\n# repomemory\n\n**Your codebase never forgets.**\n\nAI agents lose context every session. repomemory fixes that — one command creates a persistent, searchable knowledge base that any AI tool can read, search, and write to.\n\n[![npm version](https://img.shields.io/npm/v/repomemory.svg)](https://www.npmjs.com/package/repomemory)\n[![npm downloads](https://img.shields.io/npm/dm/repomemory.svg)](https://www.npmjs.com/package/repomemory)\n[![license](https://img.shields.io/npm/l/repomemory.svg)](https://github.com/DanielGuru/repomemory/blob/main/LICENSE)\n[![CI](https://github.com/DanielGuru/repomemory/actions/workflows/ci.yml/badge.svg)](https://github.com/DanielGuru/repomemory/actions)\n\n```bash\nnpx repomemory go\n```\n\n</div>\n\n---\n\n<div align=\"center\">\n\n<video src=\"https://github.com/DanielGuru/repomemory/raw/main/repomemory-demo.gif.mp4\" width=\"100%\" autoplay loop muted playsinline></video>\n\n</div>\n\n## The Problem\n\nEvery time you open a project with Claude Code, Cursor, Copilot, or any AI coding agent:\n\n- It re-discovers your architecture from scratch\n- It proposes changes that were already debated and rejected\n- It re-introduces bugs that were already fixed\n\nYour `CLAUDE.md` / `.cursorrules` helps, but it's static and gets stale.\n\n## The Solution\n\n```\n.context/\n├── index.md              ← Quick orientation (loaded every session)\n├── facts/                ← Architecture, database, deployment\n├── decisions/            ← \"We chose Drizzle over Prisma because...\"\n├── regressions/          ← \"This broke before. Here's what happened.\"\n├── preferences/          ← Your coding style — follows you across all repos\n├── sessions/             ← Auto-captured AI session summaries\n└── changelog/            ← Monthly git history syncs\n```\n\n**Facts** tell agents how things work. **Decisions** prevent re-debating. **Regressions** prevent re-breaking. **Preferences** teach agents how you code.\n\n## Quick Start\n\n### With an API key (Claude Code, terminal workflows)\n\n```bash\nnpx repomemory go\n```\n\nOne command: sets up global profile, creates `.context/`, configures Claude Code + Cursor, runs AI analysis, prints CLAUDE.md instructions.\n\n### With Cursor (no API key needed)\n\n```bash\nnpx repomemory setup cursor\n```\n\nThis installs everything Cursor needs:\n- **MCP server** in `~/.cursor/mcp.json` (auto-starts repomemory in every project)\n- **Rules** in `.cursor/rules/repomem\n\n[excerpt truncated]\n\n## Selected Source Inventory\n\n- `README.md`\n- `package.json`\n- `src/index.ts`\n- `src/commands/analyze.ts`\n- `src/commands/dashboard.ts`\n- `src/commands/doctor.ts`\n- `src/commands/global.ts`\n- `src/commands/go.ts`\n- `src/commands/hook.ts`\n- `src/commands/init.ts`\n- `src/commands/risk.ts`\n- `src/commands/search.ts`\n\n| File | Evidence role | Size |\n|---|---|---|\n| `README.md` | README/product and usage evidence | 9286 bytes |\n| `package.json` | package/runtime metadata | 2441 bytes |\n| `src/index.ts` | implementation surface | 9453 bytes |\n| `src/commands/analyze.ts` | implementation surface | 25880 bytes |\n| `src/commands/dashboard.ts` | implementation surface | 30872 bytes |\n| `src/commands/doctor.ts` | implementation surface | 10324 bytes |\n| `src/commands/global.ts` | implementation surface | 4226 bytes |\n| `src/commands/go.ts` | implementation surface | 12329 bytes |\n| `src/commands/hook.ts` | implementation surface | 3990 bytes |\n| `src/commands/init.ts` | implementation surface | 5766 bytes |\n| `src/commands/risk.ts` | implementation surface | 4006 bytes |\n| `src/commands/search.ts` | implementation surface | 5039 bytes |\n\nSource: `[README.md:1-120]()`\n\n---\n\n<a id='entrypoints'></a>\n\n## Entrypoints and Runtime Surface\n\n### Related Pages\n\nRelated topics: [Repository Overview](#overview), [Architecture Evidence Map](#architecture), [Operations and Verification Boundaries](#operations)\n\n<details>\n<summary>Relevant source files</summary>\n\nThe following source files were used to generate this page:\n\n- [README.md](https://github.com/DanielGuru/repomemory/blob/main/README.md)\n- [package.json](https://github.com/DanielGuru/repomemory/blob/main/package.json)\n- [src/index.ts](https://github.com/DanielGuru/repomemory/blob/main/src/index.ts)\n- [src/commands/analyze.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/analyze.ts)\n- [src/commands/dashboard.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/dashboard.ts)\n- [src/commands/doctor.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/doctor.ts)\n- [src/commands/global.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/global.ts)\n- [src/commands/go.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/go.ts)\n- [src/commands/hook.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/hook.ts)\n- [src/commands/init.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/init.ts)\n- [src/commands/risk.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/risk.ts)\n- [src/commands/search.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/search.ts)\n</details>\n\n# Entrypoints and Runtime Surface\n\nThe files below are the highest-signal candidates for how the project is installed, started, configured, or embedded. Treat this as an evidence map, not an inferred API contract.\n\n| File | Evidence role | Size |\n|---|---|---|\n| `README.md` | README/product and usage evidence | 9286 bytes |\n| `package.json` | package/runtime metadata | 2441 bytes |\n| `src/index.ts` | implementation surface | 9453 bytes |\n| `src/commands/analyze.ts` | implementation surface | 25880 bytes |\n| `src/commands/dashboard.ts` | implementation surface | 30872 bytes |\n| `src/commands/doctor.ts` | implementation surface | 10324 bytes |\n| `src/commands/global.ts` | implementation surface | 4226 bytes |\n| `src/commands/go.ts` | implementation surface | 12329 bytes |\n| `src/commands/hook.ts` | implementation surface | 3990 bytes |\n| `src/commands/init.ts` | implementation surface | 5766 bytes |\n| `src/commands/risk.ts` | implementation surface | 4006 bytes |\n| `src/commands/search.ts` | implementation surface | 5039 bytes |\n\nSource: `[README.md:1-120](https://github.com/DanielGuru/repomemory/blob/main/README.md)`\n\n---\n\n<a id='architecture'></a>\n\n## Architecture Evidence Map\n\n### Related Pages\n\nRelated topics: [Repository Overview](#overview), [Entrypoints and Runtime Surface](#entrypoints), [Operations and Verification Boundaries](#operations)\n\n<details>\n<summary>Relevant source files</summary>\n\nThe following source files were used to generate this page:\n\n- [README.md](https://github.com/DanielGuru/repomemory/blob/main/README.md)\n- [package.json](https://github.com/DanielGuru/repomemory/blob/main/package.json)\n- [src/index.ts](https://github.com/DanielGuru/repomemory/blob/main/src/index.ts)\n- [src/commands/analyze.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/analyze.ts)\n- [src/commands/dashboard.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/dashboard.ts)\n- [src/commands/doctor.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/doctor.ts)\n- [src/commands/global.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/global.ts)\n- [src/commands/go.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/go.ts)\n- [src/commands/hook.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/hook.ts)\n- [src/commands/init.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/init.ts)\n- [src/commands/risk.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/risk.ts)\n- [src/commands/search.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/search.ts)\n</details>\n\n# Architecture Evidence Map\n\nThis section maps source paths into likely architectural areas based on repository layout only. Claims that require execution are intentionally not made here.\n\n- `.`: `README.md`, `package.json`\n- `src`: `src/index.ts`, `src/commands/analyze.ts`, `src/commands/dashboard.ts`, `src/commands/doctor.ts`, `src/commands/global.ts`, `src/commands/go.ts`\n\nSource: `[package.json:1-120](https://github.com/DanielGuru/repomemory/blob/main/package.json)`\n\n---\n\n<a id='operations'></a>\n\n## Operations and Verification Boundaries\n\n### Related Pages\n\nRelated topics: [Repository Overview](#overview), [Entrypoints and Runtime Surface](#entrypoints), [Architecture Evidence Map](#architecture)\n\n<details>\n<summary>Relevant source files</summary>\n\nThe following source files were used to generate this page:\n\n- [README.md](https://github.com/DanielGuru/repomemory/blob/main/README.md)\n- [package.json](https://github.com/DanielGuru/repomemory/blob/main/package.json)\n- [src/index.ts](https://github.com/DanielGuru/repomemory/blob/main/src/index.ts)\n- [src/commands/analyze.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/analyze.ts)\n- [src/commands/dashboard.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/dashboard.ts)\n- [src/commands/doctor.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/doctor.ts)\n- [src/commands/global.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/global.ts)\n- [src/commands/go.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/go.ts)\n- [src/commands/hook.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/hook.ts)\n- [src/commands/init.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/init.ts)\n- [src/commands/risk.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/risk.ts)\n- [src/commands/search.ts](https://github.com/DanielGuru/repomemory/blob/main/src/commands/search.ts)\n</details>\n\n# Operations and Verification Boundaries\n\nOperational guidance is limited to files that are present in the repository. Before using this project in an agent workflow, verify install, quickstart, and runtime behavior in a sandbox.\n\n- Documentation signal: `README.md`\n- Runtime/package signal: `package.json`\n- Source inspection signal: `src/index.ts`\n- Source inspection signal: `src/commands/analyze.ts`\n- Source inspection signal: `src/commands/dashboard.ts`\n- Source inspection signal: `src/commands/doctor.ts`\n- Source inspection signal: `src/commands/global.ts`\n- Source inspection signal: `src/commands/go.ts`\n- Source inspection signal: `src/commands/hook.ts`\n- Source inspection signal: `src/commands/init.ts`\n\nSource: `[src/index.ts:1-120](https://github.com/DanielGuru/repomemory/blob/main/src/index.ts)`\n\n---\n\n---\n\n## Doramagic Pitfall Log\n\nProject: danielguru/repomemory\n\nSummary: Found 6 potential pitfall items; 0 are high/blocking. Highest priority: capability - 能力判断依赖假设.\n\n## 1. capability · 能力判断依赖假设\n\n- Severity: medium\n- Evidence strength: source_linked\n- Finding: README/documentation is current enough for a first validation pass.\n- User impact: 假设不成立时，用户拿不到承诺的能力。\n- Suggested check: 将假设转成下游验证清单。\n- Guardrail action: 假设必须转成验证项；没有验证结果前不能写成事实。\n- Evidence: capability.assumptions | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | README/documentation is current enough for a first validation pass.\n\n## 2. maintenance · 维护活跃度未知\n\n- Severity: medium\n- Evidence strength: source_linked\n- Finding: 未记录 last_activity_observed。\n- User impact: 新项目、停更项目和活跃项目会被混在一起，推荐信任度下降。\n- Suggested check: 补 GitHub 最近 commit、release、issue/PR 响应信号。\n- Guardrail action: 维护活跃度未知时，推荐强度不能标为高信任。\n- Evidence: evidence.maintainer_signals | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | last_activity_observed missing\n\n## 3. security_permissions · 下游验证发现风险项\n\n- Severity: medium\n- Evidence strength: source_linked\n- Finding: no_demo\n- User impact: 下游已经要求复核，不能在页面中弱化。\n- Suggested check: 进入安全/权限治理复核队列。\n- Guardrail action: 下游风险存在时必须保持 review/recommendation 降级。\n- Evidence: downstream_validation.risk_items | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | no_demo; severity=medium\n\n## 4. security_permissions · 存在评分风险\n\n- Severity: medium\n- Evidence strength: source_linked\n- Finding: no_demo\n- User impact: 风险会影响是否适合普通用户安装。\n- Suggested check: 把风险写入边界卡，并确认是否需要人工复核。\n- Guardrail action: 评分风险必须进入边界卡，不能只作为内部分数。\n- Evidence: risks.scoring_risks | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | no_demo; severity=medium\n\n## 5. maintenance · issue/PR 响应质量未知\n\n- Severity: low\n- Evidence strength: source_linked\n- Finding: issue_or_pr_quality=unknown。\n- User impact: 用户无法判断遇到问题后是否有人维护。\n- Suggested check: 抽样最近 issue/PR，判断是否长期无人处理。\n- Guardrail action: issue/PR 响应未知时，必须提示维护风险。\n- Evidence: evidence.maintainer_signals | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | issue_or_pr_quality=unknown\n\n## 6. maintenance · 发布节奏不明确\n\n- Severity: low\n- Evidence strength: source_linked\n- Finding: release_recency=unknown。\n- User impact: 安装命令和文档可能落后于代码，用户踩坑概率升高。\n- Suggested check: 确认最近 release/tag 和 README 安装命令是否一致。\n- Guardrail action: 发布节奏未知或过期时，安装说明必须标注可能漂移。\n- Evidence: evidence.maintainer_signals | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | release_recency=unknown\n\n<!-- canonical_name: danielguru/repomemory; human_manual_source: deepwiki_human_wiki -->\n",
      "summary": "DeepWiki/Human Wiki output with a Doramagic pitfall appendix.",
      "title": "Human Manual"
    },
    "pitfall_log": {
      "asset_id": "pitfall_log",
      "filename": "PITFALL_LOG.md",
      "markdown": "# Pitfall Log\n\nProject: danielguru/repomemory\n\nSummary: Found 6 potential pitfall items; 0 are high/blocking. Highest priority: capability - 能力判断依赖假设.\n\n## 1. capability · 能力判断依赖假设\n\n- Severity: medium\n- Evidence strength: source_linked\n- Finding: README/documentation is current enough for a first validation pass.\n- User impact: 假设不成立时，用户拿不到承诺的能力。\n- Suggested check: 将假设转成下游验证清单。\n- Guardrail action: 假设必须转成验证项；没有验证结果前不能写成事实。\n- Evidence: capability.assumptions | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | README/documentation is current enough for a first validation pass.\n\n## 2. maintenance · 维护活跃度未知\n\n- Severity: medium\n- Evidence strength: source_linked\n- Finding: 未记录 last_activity_observed。\n- User impact: 新项目、停更项目和活跃项目会被混在一起，推荐信任度下降。\n- Suggested check: 补 GitHub 最近 commit、release、issue/PR 响应信号。\n- Guardrail action: 维护活跃度未知时，推荐强度不能标为高信任。\n- Evidence: evidence.maintainer_signals | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | last_activity_observed missing\n\n## 3. security_permissions · 下游验证发现风险项\n\n- Severity: medium\n- Evidence strength: source_linked\n- Finding: no_demo\n- User impact: 下游已经要求复核，不能在页面中弱化。\n- Suggested check: 进入安全/权限治理复核队列。\n- Guardrail action: 下游风险存在时必须保持 review/recommendation 降级。\n- Evidence: downstream_validation.risk_items | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | no_demo; severity=medium\n\n## 4. security_permissions · 存在评分风险\n\n- Severity: medium\n- Evidence strength: source_linked\n- Finding: no_demo\n- User impact: 风险会影响是否适合普通用户安装。\n- Suggested check: 把风险写入边界卡，并确认是否需要人工复核。\n- Guardrail action: 评分风险必须进入边界卡，不能只作为内部分数。\n- Evidence: risks.scoring_risks | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | no_demo; severity=medium\n\n## 5. maintenance · issue/PR 响应质量未知\n\n- Severity: low\n- Evidence strength: source_linked\n- Finding: issue_or_pr_quality=unknown。\n- User impact: 用户无法判断遇到问题后是否有人维护。\n- Suggested check: 抽样最近 issue/PR，判断是否长期无人处理。\n- Guardrail action: issue/PR 响应未知时，必须提示维护风险。\n- Evidence: evidence.maintainer_signals | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | issue_or_pr_quality=unknown\n\n## 6. maintenance · 发布节奏不明确\n\n- Severity: low\n- Evidence strength: source_linked\n- Finding: release_recency=unknown。\n- User impact: 安装命令和文档可能落后于代码，用户踩坑概率升高。\n- Suggested check: 确认最近 release/tag 和 README 安装命令是否一致。\n- Guardrail action: 发布节奏未知或过期时，安装说明必须标注可能漂移。\n- Evidence: evidence.maintainer_signals | mcp_registry:io.github.DanielGuru/repomemory:1.3.0 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0 | release_recency=unknown\n",
      "summary": "Identity, installation, configuration, runtime, and safety pitfalls before user trial.",
      "title": "Pitfall Log"
    },
    "prompt_preview": {
      "asset_id": "prompt_preview",
      "filename": "PROMPT_PREVIEW.md",
      "markdown": "# repomemory - Prompt Preview\n\n> Copy the prompt below into your AI host before installing anything.\n> Its purpose is to let you safely feel the project's workflow, not to claim the project has already run.\n\n## Copy this prompt\n\n```text\nYou are using an independent Doramagic capability pack for danielguru/repomemory.\n\nProject:\n- Name: repomemory\n- Repository: https://github.com/DanielGuru/repomemory\n- Summary: Persistent memory for AI coding agents. Hybrid search, auto-session capture, context routing.\n- Host target: mcp_host\n\nGoal:\nHelp me evaluate this project for the following task without installing it yet: Persistent memory for AI coding agents. Hybrid search, auto-session capture, context routing.\n\nBefore taking action:\n1. Restate my task, success standard, and boundary.\n2. Identify whether the next step requires tools, browser access, network access, filesystem access, credentials, package installation, or host configuration.\n3. Use only the Doramagic Project Pack, the upstream repository, and the source-linked evidence listed below.\n4. If a real command, install step, API call, file write, or host integration is required, mark it as \"requires post-install verification\" and ask for approval first.\n5. If evidence is missing, say \"evidence is missing\" instead of filling the gap.\n\nPreviewable capabilities:\n- Capability 1: Use the source-backed project context to guide one small, checkable workflow step.\n\nCapabilities that require post-install verification:\n- Capability 1: Use the source-backed project context to guide one small, checkable workflow step.\n- Capability 2: Use the source-backed project context to guide one small, checkable workflow step.\n\nCore service flow:\n1. overview: Repository Overview. Produce one small intermediate artifact and wait for confirmation.\n2. entrypoints: Entrypoints and Runtime Surface. Produce one small intermediate artifact and wait for confirmation.\n3. architecture: Architecture Evidence Map. Produce one small intermediate artifact and wait for confirmation.\n4. operations: Operations and Verification Boundaries. Produce one small intermediate artifact and wait for confirmation.\n\nSource-backed evidence to keep in mind:\n- https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0\n- https://github.com/DanielGuru/repomemory#readme\n- skills/repomemory/SKILL.md\n- skills/session-end/SKILL.md\n- skills/session-start/SKILL.md\n- README.md\n- package.json\n- src/index.ts\n- src/commands/analyze.ts\n- src/commands/dashboard.ts\n\nFirst response rules:\n1. Start Step 1 only.\n2. Explain the one service action you will perform first.\n3. Ask exactly three questions about my target workflow, success standard, and sandbox boundary.\n4. Stop and wait for my answers.\n\nStep 1 follow-up protocol:\n- After I answer the first three questions, stay in Step 1.\n- Produce six parts only: clarified task, success standard, boundary conditions, two or three options, tradeoffs for each option, and one recommendation.\n- End by asking whether I confirm the recommendation.\n- Do not move to Step 2 until I explicitly confirm.\n\nConversation rules:\n- Advance one step at a time and wait for confirmation after each small artifact.\n- Write outputs as recommendations or planned checks, not as completed execution.\n- Do not claim tests passed, files changed, commands ran, APIs were called, or the project was installed.\n- If the user asks for execution, first provide the sandbox setup, expected output, rollback, and approval checkpoint.\n```\n",
      "summary": "不安装项目也能感受能力节奏的安全试用 Prompt。",
      "title": "Prompt Preview / 安装前试用 Prompt"
    },
    "quick_start": {
      "asset_id": "quick_start",
      "filename": "QUICK_START.md",
      "markdown": "# Quick Start\n\nProject: danielguru/repomemory\n\n## Official Entry Points\n\n### Node.js / npx · 官方安装入口\n\n```bash\nnpx repomemory\n```\n\nSource：https://github.com/DanielGuru/repomemory#readme\n\n## Sources\n\n- mcp_registry: https://registry.modelcontextprotocol.io/v0.1/servers/io.github.DanielGuru%2Frepomemory/versions/1.3.0\n- docs: https://github.com/DanielGuru/repomemory#readme\n",
      "summary": "Entry points extracted from official README or installation documentation.",
      "title": "Quick Start"
    }
  },
  "validation_id": "dval_7f2262a6b9ee450d898985c76d5a9953"
}