# thumbgate - Doramagic AI Context Pack

> 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。

## 充分原则

- **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。
- **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。

## 给宿主 AI 的使用方式

你正在读取 Doramagic 为 thumbgate 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。

## Claim 消费规则

- **事实来源**：Repo Evidence + Claim/Evidence Graph；Human Wiki 只提供显著性、术语和叙事结构。
- **事实最低状态**：`supported`
- `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。
- `weak`：只能作为低置信度线索，必须要求用户继续核实。
- `inferred`：只能用于风险提示或待确认问题，不能包装成项目事实。
- `unverified`：不得作为事实使用，应明确说证据不足。
- `contradicted`：必须展示冲突来源，不得替用户强行选择一个版本。

## 它最适合谁

- **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
- **希望把专业流程带进宿主 AI 的用户**：仓库包含 Skill 文档。 证据：`.agents/skills/skool-headless-reader/SKILL.md`, `.agents/skills/thumbgate/SKILL.md`, `.claude/skills/thumbgate/SKILL.md`, `adapters/amp/skills/thumbgate-feedback/SKILL.md` 等 Claim：`clm_0005` supported 0.86

## 它能做什么

- **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：`.agents/skills/skool-headless-reader/SKILL.md`, `.agents/skills/thumbgate/SKILL.md`, `.claude/skills/thumbgate/SKILL.md`, `adapters/amp/skills/thumbgate-feedback/SKILL.md` 等 Claim：`clm_0001` supported 0.86
- **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：`.agents/plugins/marketplace.json`, `.claude-plugin/marketplace.json`, `.claude-plugin/plugin.json`, `.cursor-plugin/marketplace.json` 等 Claim：`clm_0002` supported 0.86
- **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：`README.md`, `adapters/cline/INSTALL.md`, `plugins/amp-skill/INSTALL.md` Claim：`clm_0003` supported 0.86

## 怎么开始

- `npx thumbgate init   # auto-detects your agent, wires hooks, 30 seconds` 证据：`README.md` Claim：`clm_0006` supported 0.86
- `npx thumbgate init                                                         # auto-detects your agent, wires everything` 证据：`README.md` Claim：`clm_0007` supported 0.86
- `npx thumbgate capture --feedback=down --context="Never run DROP on production tables"` 证据：`README.md` Claim：`clm_0008` supported 0.86
- `npx thumbgate model-candidates --workload=pretool-gating --json` 证据：`README.md` Claim：`clm_0009` supported 0.86
- `npx thumbgate model-candidates --workload=long-trace-review --provider=openai-compatible --gateway=tinker --json` 证据：`README.md` Claim：`clm_0010` supported 0.86
- `npx thumbgate init                                              # detect agent, wire hooks` 证据：`README.md` Claim：`clm_0011` supported 0.86
- `npx thumbgate doctor                                            # health check` 证据：`README.md` Claim：`clm_0012` supported 0.86
- `npx thumbgate capture --feedback=up|down --context="<text>"    # capture a signal as a stored lesson` 证据：`README.md` Claim：`clm_0013` supported 0.86
- `npx thumbgate lessons                                           # see what's been learned` 证据：`README.md` Claim：`clm_0014` supported 0.86
- `npx thumbgate explore    # terminal explorer for lessons, checks, stats` 证据：`README.md` Claim：`clm_0015` supported 0.86

## 继续前判断卡

- **当前建议**：先做研究框架试用
- **为什么**：这个项目面向研究工作流，核心风险是资料可信度和输出质量；先用 Prompt Preview 验证研究框架，再在隔离环境试装。

### 30 秒判断

- **现在怎么做**：先做研究框架试用
- **最小安全下一步**：先用 Prompt Preview 验证研究框架；满意后再隔离试装
- **先别相信**：研究结论、引用和实验结果不能在安装前相信。
- **继续会触碰**：研究判断、命令执行、宿主 AI 配置

### 现在可以相信

- **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
- **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：`.agents/skills/skool-headless-reader/SKILL.md`, `.agents/skills/thumbgate/SKILL.md`, `.claude/skills/thumbgate/SKILL.md`, `adapters/amp/skills/thumbgate-feedback/SKILL.md` 等 Claim：`clm_0005` supported 0.86
- **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：`.agents/skills/skool-headless-reader/SKILL.md`, `.agents/skills/thumbgate/SKILL.md`, `.claude/skills/thumbgate/SKILL.md`, `adapters/amp/skills/thumbgate-feedback/SKILL.md` 等 Claim：`clm_0001` supported 0.86
- **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：`.agents/plugins/marketplace.json`, `.claude-plugin/marketplace.json`, `.claude-plugin/plugin.json`, `.cursor-plugin/marketplace.json` 等 Claim：`clm_0002` supported 0.86
- **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：`README.md`, `adapters/cline/INSTALL.md`, `plugins/amp-skill/INSTALL.md` Claim：`clm_0003` supported 0.86
- **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

### 现在还不能相信

- **研究结论、引用和实验结果不能在安装前相信。**（unverified）：研究 Skill 可以组织问题和路径，但不能替代真实资料检索、论文核验和实验复现。
- **是否适合你的具体研究领域不能直接相信。**（unverified）：Skill 覆盖很多研究主题，不代表对你的领域、资料要求和可信度标准足够。
- **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。
- **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。
- **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：`.agents/plugins/marketplace.json`, `.agents/skills/skool-headless-reader/SKILL.md`, `.agents/skills/thumbgate/SKILL.md`, `.claude-plugin/marketplace.json` 等
- **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。
- **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：`.agents/plugins/marketplace.json`, `.claude-plugin/marketplace.json`, `.claude-plugin/plugin.json`, `.cursor-plugin/marketplace.json` 等
- **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。

### 继续会触碰什么

- **研究判断**：问题拆解、资料路径、实验路径、结论结构和可信度判断。 原因：研究型 Skill 可能让输出看起来更专业，但不能替代真实证据核验。
- **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：`README.md`, `adapters/cline/INSTALL.md`, `plugins/amp-skill/INSTALL.md`
- **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：`.agents/plugins/marketplace.json`, `.agents/skills/skool-headless-reader/SKILL.md`, `.agents/skills/thumbgate/SKILL.md`, `.claude-plugin/marketplace.json` 等
- **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：`.agents/plugins/marketplace.json`, `.claude-plugin/marketplace.json`, `.claude-plugin/plugin.json`, `.cursor-plugin/marketplace.json` 等
- **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。

### 最小安全下一步

- **先跑 Prompt Preview**：先验证它能否正确界定研究问题和证据边界，不要先相信研究输出。（适用：任何项目都适用，尤其是输出质量未知时。）
- **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。）
- **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。）
- **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。）

### 退出方式

- **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。
- **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。
- **保留资料和结论核验清单**：如果后续发现引用或实验路径不可靠，可以回到证据边界阶段重新校验。
- **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。
- **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。

## 哪些只能预览

- 解释项目适合谁和能做什么
- 基于项目文档演示典型对话流程
- 帮助用户判断是否值得安装或继续研究

## 哪些必须安装后验证

- 真实安装 Skill、插件或 CLI
- 执行脚本、修改本地文件或访问外部服务
- 验证真实输出质量、性能和兼容性

## 边界与风险判断卡

- **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_0030` inferred 0.45
- **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：`.agents/plugins/marketplace.json`, `.claude-plugin/marketplace.json`, `.claude-plugin/plugin.json`, `.cursor-plugin/marketplace.json` 等 Claim：`clm_0031` supported 0.86
- **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：`README.md`, `adapters/cline/INSTALL.md`, `plugins/amp-skill/INSTALL.md` Claim：`clm_0032` supported 0.86
- **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。
- **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。
- **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。

## 开工前工作上下文

### 加载顺序

- 先读取 how_to_use.host_ai_instruction，建立安装前判断资产的边界。
- 读取 claim_graph_summary，确认事实来自 Claim/Evidence Graph，而不是 Human Wiki 叙事。
- 再读取 intended_users、capabilities 和 quick_start_candidates，判断用户是否匹配。
- 需要执行具体任务时，优先查 role_skill_index，再查 evidence_index。
- 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。

### 任务路由

- **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：`.agents/skills/skool-headless-reader/SKILL.md`, `.agents/skills/thumbgate/SKILL.md`, `.claude/skills/thumbgate/SKILL.md`, `adapters/amp/skills/thumbgate-feedback/SKILL.md` 等 Claim：`clm_0001` supported 0.86
- **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：`.agents/plugins/marketplace.json`, `.claude-plugin/marketplace.json`, `.claude-plugin/plugin.json`, `.cursor-plugin/marketplace.json` 等 Claim：`clm_0002` supported 0.86
- **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：`README.md`, `adapters/cline/INSTALL.md`, `plugins/amp-skill/INSTALL.md` Claim：`clm_0003` supported 0.86

### 上下文规模

- 文件总数：1709
- 重要文件覆盖：40/1709
- 证据索引条目：80
- 角色 / Skill 条目：23

### 证据不足时的处理

- **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。
- **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。
- **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。
- **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。

## Prompt Recipes

### 适配判断

- 目标：判断这个项目是否适合用户当前任务。
- 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。

```text
请基于 thumbgate 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。
```

### 安装前体验

- 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。
- 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。

```text
请把 thumbgate 当作安装前体验资产，而不是已安装工具或真实运行环境。

请严格输出四段：
1. 先问我 3 个必要问题。
2. 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。
3. 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。
4. 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。

硬性边界：
- 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。
- 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。
- 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。
- 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”。
- 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。
- 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。

```

### 角色 / Skill 选择

- 目标：从项目里的角色或 Skill 中挑选最匹配的资产。
- 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。

```text
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。
```

### 风险预检

- 目标：安装或引入前识别环境、权限、规则冲突和质量风险。
- 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。

```text
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。
```

### 宿主 AI 开工指令

- 目标：把项目上下文转成一次对话开始前的宿主 AI 指令。
- 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。

```text
请基于 thumbgate 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。
```


## 角色 / Skill 索引

- 共索引 23 个角色 / Skill / 项目文档条目。

- **skool-headless-reader**（skill）：Read, monitor, and analyze Skool communities or posts headlessly for lead discovery, customer pain, acquisition opportunities, or ThumbGate revenue research without blocking the user's browser. 激活提示：当用户任务与“skool-headless-reader”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：`.agents/skills/skool-headless-reader/SKILL.md`
- **thumbgate**（skill）：- 激活提示：当用户任务与“thumbgate”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：`.agents/skills/thumbgate/SKILL.md`
- **thumbgate**（skill）：Pre-action checks for AI agents - capture thumbs-up/down feedback, generate prevention rules, block known-bad patterns. Use for setup, feedback capture, check debugging, or DPO training data export. 激活提示：当用户任务与“thumbgate”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：`.claude/skills/thumbgate/SKILL.md`
- **thumbgate-feedback**（skill）：Capture thumbs feedback and apply prevention rules before coding 激活提示：当用户任务与“thumbgate-feedback”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：`adapters/amp/skills/thumbgate-feedback/SKILL.md`
- **thumbgate-feedback**（skill）：Dual-write feedback to Amp MCP memory AND thumbgate for DPO export, analytics, and cross-platform portability 激活提示：当用户任务与“thumbgate-feedback”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：`plugins/amp-skill/SKILL.md`
- **adversarial-review**（skill）：Run a skeptical Codex review from Claude Code that hunts for hidden regressions, unsafe assumptions, and release risk. Use before merges, deploys, migrations, or other risky changes. 激活提示：当用户任务与“adversarial-review”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：`plugins/claude-codex-bridge/skills/adversarial-review/SKILL.md`
- **result**（skill）：Print the latest saved Codex bridge result from Claude Code without rerunning Codex. Use when the user asks for the last Codex output or wants to inspect the raw bridge result. 激活提示：当用户任务与“result”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：`plugins/claude-codex-bridge/skills/result/SKILL.md`
- **review**（skill）：Run a Codex review from Claude Code against the current uncommitted work, a base branch diff, or a specific commit. Use when the user explicitly asks for a Codex review or second reviewer. 激活提示：当用户任务与“review”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：`plugins/claude-codex-bridge/skills/review/SKILL.md`
- **second-pass**（skill）：Hand the current task or repo state to Codex for an independent second pass from inside Claude Code. Use when the user explicitly wants another agent to take a shot after Claude's first pass. 激活提示：当用户任务与“second-pass”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：`plugins/claude-codex-bridge/skills/second-pass/SKILL.md`
- **setup**（skill）：Validate that the Codex bridge plugin is ready inside Claude Code. Use when the user asks to install, configure, or sanity-check Codex review from Claude. 激活提示：当用户任务与“setup”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：`plugins/claude-codex-bridge/skills/setup/SKILL.md`
- **status**（skill）：Show the latest Codex bridge artifact metadata from Claude Code. Use when the user asks whether the bridge already ran, what mode it used, or where the result was saved. 激活提示：当用户任务与“status”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：`plugins/claude-codex-bridge/skills/status/SKILL.md`
- **thumbgate-feedback**（skill）： 激活提示：当用户任务与“thumbgate-feedback”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：`plugins/claude-skill/SKILL.md`
- **capture-feedback**（skill）：Capture structured thumbs up/down feedback with context, history-aware lesson distillation, tags, and optional rubric scores after completing a task. 激活提示：当用户任务与“capture-feedback”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：`plugins/cursor-marketplace/skills/capture-feedback/SKILL.md`
- **prevention-rules**（skill）：Generate and review prevention rules auto-promoted from repeated failure patterns. 激活提示：当用户任务与“prevention-rules”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：`plugins/cursor-marketplace/skills/prevention-rules/SKILL.md`
- **programmatic-agent-runs**（skill）：Govern Cursor SDK local, cloud, self-hosted, and subagent coding runs before they create branches or PRs. 激活提示：当用户任务与“programmatic-agent-runs”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：`plugins/cursor-marketplace/skills/programmatic-agent-runs/SKILL.md`
- **recall-context**（skill）：Recall relevant past failures, prevention rules, and context packs before starting a coding task. 激活提示：当用户任务与“recall-context”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：`plugins/cursor-marketplace/skills/recall-context/SKILL.md`
- **search-lessons**（skill）：Search promoted lessons for corrective actions, lifecycle state, linked rules, and linked gates. 激活提示：当用户任务与“search-lessons”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：`plugins/cursor-marketplace/skills/search-lessons/SKILL.md`
- **Agent Architect Kit ↔ ThumbGate Bridge**（skill）：Agent Architect Kit ↔ ThumbGate Bridge 激活提示：当用户任务与“Agent Architect Kit ↔ ThumbGate Bridge”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/agent-architect-kit/SKILL.md`
- **Agent Memory**（skill）：Recall past mistakes and capture feedback so your agent stops repeating errors. Works locally via MCP server — no API key needed. 激活提示：当用户任务与“Agent Memory”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/agent-memory/SKILL.md`
- **bluesky-engagement**（skill）： 激活提示：当用户任务与“bluesky-engagement”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/bluesky-engagement/SKILL.md`
- **solve-architecture-autonomy**（skill）：Automated skill to handle architecture, autonomy, crisis, debug, deployment, error, execution, external-assessment, feedback, inefficiency, negative, railway, revenue, roi, simplification, user-frustration patterns efficiently. 激活提示：当用户任务与“solve-architecture-autonomy”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/solve-architecture-autonomy/SKILL.md`
- **thumbgate-feedback**（skill）： 激活提示：当用户任务与“thumbgate-feedback”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/thumbgate-feedback/SKILL.md`
- **thumbgate**（skill）： 激活提示：当用户任务与“thumbgate”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/thumbgate/SKILL.md`

## 证据索引

- 共索引 80 条证据。

- **Social Asset Exports**（documentation）：These assets are the local source of truth for the March 2026 AI reliability system launch and the zero-filming IG/TikTok pipeline. 证据：`docs/marketing/assets/README.md`
- **Changesets**（documentation）：ThumbGate uses Changesets for customer-visible release planning and auditable versioning. 证据：`.changeset/README.md`
- **ThumbGate for Claude Desktop**（documentation）：Give thumbs up 👍 or thumbs down 👎 on any agent action. ThumbGate captures it, runs History-aware lesson distillation across up to 8 prior recorded entries, and blocks the pattern from repeating. Just type "thumbs up" or "thumbs down" in the chat. 证据：`.claude-plugin/README.md`
- **ThumbGate — The Infrastructure Firewall**（documentation）：ThumbGate — The Infrastructure Firewall 证据：`AGENTS.md`
- **CLAUDE.md — ThumbGate thumbgate**（documentation）：You are the CTO. Igor Ganapolsky is your CEO. Execute autonomously: branch, commit, push, PR, merge, deploy. Never tell the CEO to run a command — run it yourself. Never leave a PR open when CI passes and threads are resolved. 证据：`CLAUDE.md`
- **GEMINI.md — ThumbGate thumbgate**（documentation）：Target: Earn $100/day after-tax profit. 证据：`GEMINI.md`
- **ThumbGate**（documentation）：AI agents repeat mistakes. You pay for every retry. 证据：`README.md`
- **Adapter Bundles**（documentation）：- xai-grok/README.md : xAI Grok Build CLI — auto-detects Claude Code conventions AGENTS.md, hooks, MCP, Skills . Use the existing claude/.mcp.json ; no new config needed. - chatgpt/openapi.yaml : import into GPT Actions. - gemini/function-declarations.json : Gemini function-calling definitions. - mcp/server-stdio.js : underlying local MCP stdio server implementation. - claude/.mcp.json : example Claude Code MCP config using npx --yes --package thumbgate@1.22.0 thumbgate serve . - codex/config.toml : example Codex MCP profile section using the same version-pinned portable launcher. - amp/skills/thumbgate-feedback/SKILL.md : Amp skill template. - opencode/opencode.json : portable OpenCode MCP… 证据：`adapters/README.md`
- **ThumbGate — Cloudflare Workers**（documentation）：Paid MCP server for thumbgate Pro tier $19/mo . Runs on Cloudflare Workers with KV storage, Stripe billing, and a signed hosted-sandbox dispatch lane for isolated Team automations. 证据：`workers/README.md`
- **xAI Grok Build CLI — ThumbGate adapter**（documentation）：xAI Grok Build CLI — ThumbGate adapter 证据：`adapters/xai-grok/README.md`
- **ThumbGate Codex Bridge for Claude Code**（documentation）：ThumbGate Codex Bridge for Claude Code 证据：`plugins/claude-codex-bridge/README.md`
- **Codex ThumbGate Add-on**（documentation）：Trigger If user gives explicit positive/negative outcome feedback, capture it immediately. 证据：`plugins/codex-profile/AGENTS.md`
- **ThumbGate for Codex**（documentation）：ThumbGate now ships a standalone Codex plugin bundle in GitHub Releases, alongside the repo-local Codex profile in this repository. 证据：`plugins/codex-profile/README.md`
- **ThumbGate — for Cursor**（documentation）：ThumbGate is the human-facing plugin name in Cursor listings. thumbgate stays the plugin slug, npm package, and launcher target. 证据：`plugins/cursor-marketplace/README.md`
- **ThumbGate for JetBrains**（documentation）：This is the JetBrains Marketplace scaffold for ThumbGate. 证据：`plugins/jetbrains-plugin/README.md`
- **ThumbGate for VS Code**（documentation）：ThumbGate gives VS Code and Open VSX-compatible IDEs a local MCP server for AI-agent feedback, pre-action checks, and repeated-mistake prevention. 证据：`plugins/vscode-extension/README.md`
- **Money Today 2026-05-05**（documentation）：This folder captures the operator close packet and the latest local sales-pipeline snapshot for May 5, 2026. 证据：`reports/gtm/2026-05-05-money-today/README.md`
- **Explainer-video renderer**（documentation）：Offline, reproducible pipeline that turns docs/marketing/demo-video-script.md ../../docs/marketing/demo-video-script.md plus index.html ./index.html into public/assets/tiktok-agent-memory.mp4 — the 90-second explainer that ships on the landing page and social channels. 证据：`scripts/render-demo-video/README.md`
- **Package**（package_manifest）：{ "name": "thumbgate", "version": "1.22.0", "description": "ThumbGate self-improving agent governance: thumbs-up/down turns every mistake into a prevention rule and blocks repeat patterns. 33 pre-action checks, budget enforcement, and self-protection for Claude Code, Cursor, Codex, Gemini CLI, and Amp.", "homepage": "https://thumbgate-production.up.railway.app", "repository": { "type": "git", "url": "https://github.com/IgorGanapolsky/ThumbGate.git" }, "bugs": { "url": "https://github.com/IgorGanapolsky/ThumbGate/issues" }, "main": "src/index.js", "bin": { "thumbgate": "bin/cli.js" }, "files": "scripts/access-anomaly-detector.js", "scripts/activation-tracker.js", "scripts/agent-audit-trace.j… 证据：`package.json`
- **Package**（package_manifest）：{ "name": "thumbgate-worker", "version": "0.9.0", "description": "Cloudflare Workers MCP server for thumbgate Pro tier $19/mo ", "private": true, "scripts": { "dev": "wrangler dev", "deploy": "wrangler deploy", "tail": "wrangler tail", "typecheck": "tsc -p tsconfig.json --noEmit", "test": "npm run typecheck && tsx --test src/ .test.ts", "types": "wrangler types" }, "dependencies": { "stripe": "^20.4.1" }, "devDependencies": { "@types/node": "^24.6.0", "@cloudflare/workers-types": "^4.20260313.1", "tsx": "^4.20.6", "typescript": "^5.5.0" } } 证据：`workers/package.json`
- **ThumbGate**（skill_instruction）：Pre-action gates that stop AI coding agents from repeating known mistakes. 证据：`SKILL.md`
- **Package**（package_manifest）：{ "name": "thumbgate", "displayName": "ThumbGate", "description": "Pre-action checks for AI coding agents in VS Code, Open VSX-compatible IDEs, and Antigravity-style VS Code forks.", "version": "1.22.0", "publisher": "igorganapolsky", "license": "MIT", "icon": "assets/logo-400x400.png", "homepage": "https://thumbgate-production.up.railway.app/guide?utm source=vscode&utm medium=marketplace&utm campaign=vscode extension", "repository": { "type": "git", "url": "https://github.com/IgorGanapolsky/ThumbGate.git", "directory": "plugins/vscode-extension" }, "bugs": { "url": "https://github.com/IgorGanapolsky/ThumbGate/issues" }, "engines": { "vscode": "^1.105.0" }, "categories": "Machine Learning",… 证据：`plugins/vscode-extension/package.json`
- **Skool Headless Reader**（skill_instruction）：Use this skill when a task asks to inspect Skool communities, find revenue opportunities in Skool, summarize Skool posts, or mine AI automation communities for ThumbGate acquisition signals. It uses direct HTTP reads and the local MCP connector instead of the user's logged-in browser, so the user can keep working. 证据：`.agents/skills/skool-headless-reader/SKILL.md`
- **ThumbGate — Pre-Action Checks for AI Agents**（skill_instruction）：ThumbGate — Pre-Action Checks for AI Agents 证据：`.agents/skills/thumbgate/SKILL.md`
- **ThumbGate — Pre-Action Checks for AI Agents**（skill_instruction）：ThumbGate — Pre-Action Checks for AI Agents 证据：`.claude/skills/thumbgate/SKILL.md`
- **Amp ThumbGate Skill**（skill_instruction）：Do not claim promotion from a bare thumbs up/down . Ask for one sentence describing what worked or failed first. 证据：`adapters/amp/skills/thumbgate-feedback/SKILL.md`
- **ChatGPT GPT Actions: ThumbGate Install**（documentation）：ChatGPT GPT Actions: ThumbGate Install 证据：`adapters/chatgpt/INSTALL.md`
- **ThumbGate + Cline**（documentation）：Cline is a VS Code extension for LLM-powered coding agents. Roo Code announced its sunset on 2026-04-21 final shutdown 2026-05-15 and officially recommended Cline as the model-agnostic open-source successor. If you are migrating from Roo Code, this adapter gets ThumbGate running under Cline in under a minute. 证据：`adapters/cline/INSTALL.md`
- **Amp: ThumbGate Feedback Skill Install**（documentation）：Amp: ThumbGate Feedback Skill Install 证据：`plugins/amp-skill/INSTALL.md`
- **ThumbGate Feedback Skill Dual-Write**（skill_instruction）：ThumbGate Feedback Skill Dual-Write 证据：`plugins/amp-skill/SKILL.md`
- **ThumbGate for Google Antigravity**（documentation）：Antigravity is treated as a VS Code-compatible distribution lane until Google exposes a stable first-party Antigravity plugin marketplace. 证据：`plugins/antigravity-extension/INSTALL.md`
- **Install ThumbGate Codex Bridge for Claude Code**（documentation）：Install ThumbGate Codex Bridge for Claude Code 证据：`plugins/claude-codex-bridge/INSTALL.md`
- **Adversarial Review**（skill_instruction）：Default to the current uncommitted workspace unless the user explicitly provides base= or commit= . 证据：`plugins/claude-codex-bridge/skills/adversarial-review/SKILL.md`
- **Result**（skill_instruction）：- show the raw saved output - do not rerun Codex unless the user explicitly asks for a fresh pass 证据：`plugins/claude-codex-bridge/skills/result/SKILL.md`
- **Review**（skill_instruction）：When this skill is invoked, translate the request into one of these bridge calls: 证据：`plugins/claude-codex-bridge/skills/review/SKILL.md`
- **Second Pass**（skill_instruction）：Use this skill only when the user explicitly asks for a Codex handoff or second pass. 证据：`plugins/claude-codex-bridge/skills/second-pass/SKILL.md`
- **Setup**（skill_instruction）：Use this skill only when the user explicitly wants to verify the bridge. 证据：`plugins/claude-codex-bridge/skills/setup/SKILL.md`
- **Status**（skill_instruction）：- latest mode - timestamp - exit status - artifact paths 证据：`plugins/claude-codex-bridge/skills/status/SKILL.md`
- **Claude Code: ThumbGate Feedback Skill Install**（documentation）：Claude Code: ThumbGate Feedback Skill Install 证据：`plugins/claude-skill/INSTALL.md`
- **ThumbGate Feedback Skill**（skill_instruction）：When user provides feedback, execute: 证据：`plugins/claude-skill/SKILL.md`
- **ThumbGate for Codex**（documentation）：ThumbGate now ships a standalone Codex plugin bundle, a repo-local Codex app plugin surface, and an auto-updating Codex MCP profile. 证据：`plugins/codex-profile/INSTALL.md`
- **Capture Feedback**（skill_instruction）：Record structured feedback after completing a task or encountering an issue. 证据：`plugins/cursor-marketplace/skills/capture-feedback/SKILL.md`
- **Prevention Rules**（skill_instruction）：Manage prevention rules that are auto-generated from repeated failure patterns. 证据：`plugins/cursor-marketplace/skills/prevention-rules/SKILL.md`
- **Programmatic Agent Runs**（skill_instruction）：Use this skill before launching a coding agent through the Cursor SDK, Cursor cloud agents, self-hosted workers, or subagents. 证据：`plugins/cursor-marketplace/skills/programmatic-agent-runs/SKILL.md`
- **Recall Context**（skill_instruction）：Retrieve relevant historical context before beginning work on a coding task. 证据：`plugins/cursor-marketplace/skills/recall-context/SKILL.md`
- **Search Lessons**（skill_instruction）：Search the promoted lessons database for corrective actions and guidance. 证据：`plugins/cursor-marketplace/skills/search-lessons/SKILL.md`
- **Gemini: ThumbGate Function Declarations Install**（documentation）：Gemini: ThumbGate Function Declarations Install 证据：`plugins/gemini-extension/INSTALL.md`
- **OpenCode: ThumbGate MCP Profile Install**（documentation）：OpenCode: ThumbGate MCP Profile Install 证据：`plugins/opencode-profile/INSTALL.md`
- **Agent Architect Kit ↔ ThumbGate Bridge**（skill_instruction）：Agent Architect Kit ↔ ThumbGate Bridge 证据：`skills/agent-architect-kit/SKILL.md`
- **Agent Memory**（skill_instruction）：Give your agent persistent memory across sessions. Before starting any task, recall what went wrong last time. After completing work, capture whether it succeeded or failed. Prevention rules are auto-generated from repeated mistakes. 证据：`skills/agent-memory/SKILL.md`
- **Bluesky Engagement**（skill_instruction）：Automation for Bluesky reply tracking. The monitor reads; a human or a queue consumer with explicit approval writes. 证据：`skills/bluesky-engagement/SKILL.md`
- **SOLVE-ARCHITECTURE-AUTONOMY Capability**（skill_instruction）：SOLVE-ARCHITECTURE-AUTONOMY Capability 证据：`skills/solve-architecture-autonomy/SKILL.md`
- **ThumbGate Feedback Skill**（skill_instruction）：When user provides feedback, execute: 证据：`skills/thumbgate-feedback/SKILL.md`
- **ThumbGate**（skill_instruction）：Pre-action gates that stop AI coding agents from repeating known mistakes. 证据：`skills/thumbgate/SKILL.md`
- **Marketplace**（structured_config）：{ "name": "thumbgate-marketplace", "version": "1.22.0", "owner": { "name": "Igor Ganapolsky", "email": "ig5973700@gmail.com" }, "plugins": { "name": "thumbgate", "description": "One 👎 becomes a hard rule the agent cannot bypass. Captures thumbs-down feedback, distills it into PreToolUse Pre-Action Checks, enforced across every future Claude Code session.", "longDescription": "ThumbGate is a tripwire, not a memory layer. When you thumbs-down an agent action — a force-push that overwrote a teammate's commit, a destructive SQL drop, a refactor you already rejected — ThumbGate captures the pattern, distills a one-sentence lesson, and installs it as a PreToolUse block. The next time the agent re… 证据：`.claude-plugin/marketplace.json`
- **Plugin**（structured_config）：{ "name": "thumbgate", "description": "One 👎 becomes a hard rule the agent cannot bypass. Captures thumbs-down feedback, distills it into PreToolUse Pre-Action Checks, enforced across every future Claude Code session.", "version": "1.22.0", "author": { "name": "Igor Ganapolsky", "email": "ig5973700@gmail.com", "url": "https://thumbgate.ai" }, "homepage": "https://thumbgate-production.up.railway.app", "repository": "https://github.com/IgorGanapolsky/ThumbGate", "license": "MIT", "category": "developer-tools", "keywords": "guardrails", "pretooluse", "hooks", "feedback", "rlhf", "dpo", "agent-safety", "workflow-hardening", "claude-desktop", "desktop-extension", "mcp", "pre-action-checks", "ai-… 证据：`.claude-plugin/plugin.json`
- **Marketplace**（structured_config）：{ "name": "thumbgate-marketplace", "owner": { "name": "Igor Ganapolsky" }, "metadata": { "description": "👍👎 Thumbs down a mistake — your AI agent won't repeat it. Thumbs up good work — it remembers the pattern.", "version": "1.22.0" }, "plugins": { "name": "thumbgate", "source": "plugins/cursor-marketplace", "description": "👍👎 Thumbs down a mistake — your AI agent won't repeat it. Thumbs up good work — it remembers the pattern.", "category": "agent-orchestration", "tags": "cursor", "cursor-plugin", "thumbgate", "thumbs-up-down", "feedback", "ai-agent-memory", "mistake-prevention", "coding-agent" } } 证据：`.cursor-plugin/marketplace.json`
- **Marketplace**（structured_config）：{ "name": "thumbgate-plugin-catalog", "interface": { "displayName": "ThumbGate Plugin Catalog" }, "plugins": { "name": "codex-profile", "source": { "source": "local", "path": "./plugins/codex-profile" }, "policy": { "installation": "AVAILABLE", "authentication": "ON INSTALL" }, "category": "Developer Tools" } } 证据：`.agents/plugins/marketplace.json`
- **Plugin**（structured_config）：{ "name": "codex-bridge", "version": "1.22.0", "description": "Run Codex review, adversarial review, and second-pass handoffs from Claude Code while keeping ThumbGate reliability memory in the loop.", "author": { "name": "Igor Ganapolsky", "url": "https://github.com/IgorGanapolsky" }, "homepage": "https://thumbgate-production.up.railway.app", "repository": "https://github.com/IgorGanapolsky/ThumbGate", "license": "MIT", "keywords": "claude-code", "codex", "codex-review", "adversarial-review", "thumbgate", "pre-action-gates", "agent-reliability" , "mcpServers": "./.mcp.json" } 证据：`plugins/claude-codex-bridge/.claude-plugin/plugin.json`
- **Plugin**（structured_config）：{ "name": "codex-profile", "version": "1.22.0", "description": "ThumbGate for Codex: pre-action gates, skill packs, hallucination detection, PII scanning, progressive disclosure 82% token savings , and MCP-backed reliability memory.", "author": { "name": "Igor Ganapolsky", "url": "https://github.com/IgorGanapolsky" }, "homepage": "https://thumbgate-production.up.railway.app", "repository": "https://github.com/IgorGanapolsky/ThumbGate", "license": "MIT", "keywords": "codex", "codex-plugin", "thumbgate", "pre-action-gates", "feedback", "mcp", "agent-reliability" , "mcpServers": "./.mcp.json", "interface": { "displayName": "ThumbGate for Codex", "shortDescription": "Pre-action gates + skill pa… 证据：`plugins/codex-profile/.codex-plugin/plugin.json`
- 其余 20 条证据见 `AI_CONTEXT_PACK.json` 或 `EVIDENCE_INDEX.json`。

## 宿主 AI 必须遵守的规则

- **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：`docs/marketing/assets/README.md`, `.changeset/README.md`, `.claude-plugin/README.md`
- **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：`docs/marketing/assets/README.md`, `.changeset/README.md`, `.claude-plugin/README.md`

## 用户开工前应该回答的问题

- 你准备在哪个宿主 AI 或本地环境中使用它？
- 你只是想先体验工作流，还是准备真实安装？
- 你最在意的是安装成本、输出质量、还是和现有规则的冲突？

## 验收标准

- 所有能力声明都能回指到 evidence_refs 中的文件路径。
- AI_CONTEXT_PACK.md 没有把预览包装成真实运行。
- 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。

---

## Doramagic Context Augmentation

下面内容用于强化 Repomix/AI Context Pack 主体。Human Manual 只提供阅读骨架；踩坑日志会被转成宿主 AI 必须遵守的工作约束。

## Human Manual 骨架

使用规则：这里只是项目阅读路线和显著性信号，不是事实权威。具体事实仍必须回到 repo evidence / Claim Graph。

宿主 AI 硬性规则：
- 不得把页标题、章节顺序、摘要或 importance 当作项目事实证据。
- 解释 Human Manual 骨架时，必须明确说它只是阅读路线/显著性信号。
- 能力、安装、兼容性、运行状态和风险判断必须引用 repo evidence、source path 或 Claim Graph。

- **仓库概览**：importance `high`
  - source_paths: Dockerfile, README.md, package.json, .claude-plugin/README.md, adapters/README.md
- **入口与运行边界**：importance `high`
  - source_paths: Dockerfile, README.md, package.json, .claude-plugin/README.md, adapters/README.md
- **架构证据地图**：importance `high`
  - source_paths: Dockerfile, README.md, package.json, .claude-plugin/README.md, adapters/README.md
- **运维与验证边界**：importance `high`
  - source_paths: Dockerfile, README.md, package.json, .claude-plugin/README.md, adapters/README.md

## Repo Inspection Evidence / 源码检查证据

- repo_clone_verified: true
- repo_inspection_verified: true
- repo_commit: `1968ed1eed44e43909c34b3b84ea2bd46225f619`
- inspected_files: `Dockerfile`, `package.json`, `README.md`, `docs/IDE_MARKETPLACE_DISTRIBUTION.md`, `docs/MONETIZATION_EXEC_SUMMARY_2026-04-08.md`, `docs/FIRST_DOLLAR_PLAYBOOK.md`, `docs/INTENT_ROUTER.md`, `docs/PERPLEXITY_MAX_COMMAND_CENTER.md`, `docs/X_AUTOMATION_STRATEGY.md`, `docs/PITCH.md`, `docs/DATABRICKS.md`, `docs/MARKETING_COPY_CONGRUENCE.md`, `docs/SEMVER_POLICY.md`, `docs/PACKAGING_AND_SALES_PLAN.md`, `docs/PLATFORM_RESEARCH_2026-03-03.md`, `docs/gpt-store-submission.md`, `docs/AUTONOMOUS_GITOPS.md`, `docs/chatgpt-gpt-instructions.md`, `docs/PLUGIN_DISTRIBUTION.md`, `docs/HIGH_ROI_AGENT_OPERATING_SYSTEM.md`

宿主 AI 硬性规则：
- 没有 repo_clone_verified=true 时，不得声称已经读过源码。
- 没有 repo_inspection_verified=true 时，不得把 README/docs/package 文件判断写成事实。
- 没有 quick_start_verified=true 时，不得声称 Quick Start 已跑通。

## Doramagic Pitfall Constraints / 踩坑约束

这些规则来自 Doramagic 发现、验证或编译过程中的项目专属坑点。宿主 AI 必须把它们当作工作约束，而不是普通说明文字。

### Constraint 1: 能力判断依赖假设

- Trigger: README/documentation is current enough for a first validation pass.
- Host AI rule: 将假设转成下游验证清单。
- Why it matters: 假设不成立时，用户拿不到承诺的能力。
- Evidence: capability.assumptions | mcp_registry:io.github.IgorGanapolsky/mcp-memory-gateway:0.7.4 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.IgorGanapolsky%2Fmcp-memory-gateway/versions/0.7.4 | README/documentation is current enough for a first validation pass.
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 2: 维护活跃度未知

- Trigger: 未记录 last_activity_observed。
- Host AI rule: 补 GitHub 最近 commit、release、issue/PR 响应信号。
- 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。
- Evidence: evidence.maintainer_signals | mcp_registry:io.github.IgorGanapolsky/mcp-memory-gateway:0.7.4 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.IgorGanapolsky%2Fmcp-memory-gateway/versions/0.7.4 | last_activity_observed missing
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 3: 下游验证发现风险项

- Trigger: no_demo
- Host AI rule: 进入安全/权限治理复核队列。
- Why it matters: 下游已经要求复核，不能在页面中弱化。
- Evidence: downstream_validation.risk_items | mcp_registry:io.github.IgorGanapolsky/mcp-memory-gateway:0.7.4 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.IgorGanapolsky%2Fmcp-memory-gateway/versions/0.7.4 | no_demo; severity=medium
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 4: 存在评分风险

- Trigger: no_demo
- Host AI rule: 把风险写入边界卡，并确认是否需要人工复核。
- Why it matters: 风险会影响是否适合普通用户安装。
- Evidence: risks.scoring_risks | mcp_registry:io.github.IgorGanapolsky/mcp-memory-gateway:0.7.4 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.IgorGanapolsky%2Fmcp-memory-gateway/versions/0.7.4 | no_demo; severity=medium
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 5: issue/PR 响应质量未知

- Trigger: issue_or_pr_quality=unknown。
- Host AI rule: 抽样最近 issue/PR，判断是否长期无人处理。
- Why it matters: 用户无法判断遇到问题后是否有人维护。
- Evidence: evidence.maintainer_signals | mcp_registry:io.github.IgorGanapolsky/mcp-memory-gateway:0.7.4 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.IgorGanapolsky%2Fmcp-memory-gateway/versions/0.7.4 | issue_or_pr_quality=unknown
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 6: 发布节奏不明确

- Trigger: release_recency=unknown。
- Host AI rule: 确认最近 release/tag 和 README 安装命令是否一致。
- 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。
- Evidence: evidence.maintainer_signals | mcp_registry:io.github.IgorGanapolsky/mcp-memory-gateway:0.7.4 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.IgorGanapolsky%2Fmcp-memory-gateway/versions/0.7.4 | release_recency=unknown
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。