# titan - 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 titan 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_0003` 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：`assets/agent-skills/agent-introspection-debugging/SKILL.md`, `assets/agent-skills/api-and-interface-design/SKILL.md`, `assets/agent-skills/browser-testing-with-devtools/SKILL.md`, `assets/agent-skills/ci-cd-and-automation/SKILL.md` 等 Claim：`clm_0004` 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：`assets/agent-skills/agent-introspection-debugging/SKILL.md`, `assets/agent-skills/api-and-interface-design/SKILL.md`, `assets/agent-skills/browser-testing-with-devtools/SKILL.md`, `assets/agent-skills/ci-cd-and-automation/SKILL.md` 等 Claim：`clm_0001` 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` Claim：`clm_0002` supported 0.86

## 怎么开始

- `npm install -g titan-agent` 证据：`README.md` Claim：`clm_0005` supported 0.86
- `curl -fsSL https://raw.githubusercontent.com/Djtony707/TITAN/main/install.sh | bash` 证据：`README.md` Claim：`clm_0006` supported 0.86
- `npx vitest run tests/core.test.ts   # single file` 证据：`README.md` Claim：`clm_0007` supported 0.86
- `git clone https://github.com/Djtony707/TITAN` 证据：`README.md` Claim：`clm_0008` supported 0.86

## 继续前判断卡

- **当前建议**：需要管理员/安全审批
- **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。

### 30 秒判断

- **现在怎么做**：需要管理员/安全审批
- **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
- **先别相信**：这套流程是否适合你的工作方式不能直接相信。
- **继续会触碰**：宿主行为改变、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_0003` 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：`assets/agent-skills/agent-introspection-debugging/SKILL.md`, `assets/agent-skills/api-and-interface-design/SKILL.md`, `assets/agent-skills/browser-testing-with-devtools/SKILL.md`, `assets/agent-skills/ci-cd-and-automation/SKILL.md` 等 Claim：`clm_0004` 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：`assets/agent-skills/agent-introspection-debugging/SKILL.md`, `assets/agent-skills/api-and-interface-design/SKILL.md`, `assets/agent-skills/browser-testing-with-devtools/SKILL.md`, `assets/agent-skills/ci-cd-and-automation/SKILL.md` 等 Claim：`clm_0001` 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` Claim：`clm_0002` 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_0005` supported 0.86

### 现在还不能相信

- **这套流程是否适合你的工作方式不能直接相信。**（unverified）：流程型 Skill 可能强约束 AI 行为；它能提升纪律，也可能拖慢你当前任务节奏。 证据：`assets/agent-skills/agent-introspection-debugging/SKILL.md`, `assets/agent-skills/api-and-interface-design/SKILL.md`, `assets/agent-skills/browser-testing-with-devtools/SKILL.md`, `assets/agent-skills/ci-cd-and-automation/SKILL.md` 等
- **不会和你已有 Claude/Cursor/Codex 规则冲突，不能直接相信。**（inferred）：开发流程 Skill 会改变澄清、计划、测试、验证等默认行为，必须在临时宿主里试。 证据：`assets/agent-skills/agent-introspection-debugging/SKILL.md`, `assets/agent-skills/api-and-interface-design/SKILL.md`, `assets/agent-skills/browser-testing-with-devtools/SKILL.md`, `assets/agent-skills/ci-cd-and-automation/SKILL.md` 等
- **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：`assets/agent-skills/agent-introspection-debugging/SKILL.md`, `assets/agent-skills/api-and-interface-design/SKILL.md`, `assets/agent-skills/browser-testing-with-devtools/SKILL.md`, `assets/agent-skills/ci-cd-and-automation/SKILL.md` 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。
- **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

- **宿主行为改变**：澄清、计划、TDD、验证、收尾等默认开发节奏。 原因：这类 Skill 的价值和风险都来自强约束流程；必须先确认你愿意被它改变工作方式。 证据：`assets/agent-skills/agent-introspection-debugging/SKILL.md`, `assets/agent-skills/api-and-interface-design/SKILL.md`, `assets/agent-skills/browser-testing-with-devtools/SKILL.md`, `assets/agent-skills/ci-cd-and-automation/SKILL.md` 等
- **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`
- **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：`assets/agent-skills/agent-introspection-debugging/SKILL.md`, `assets/agent-skills/api-and-interface-design/SKILL.md`, `assets/agent-skills/browser-testing-with-devtools/SKILL.md`, `assets/agent-skills/ci-cd-and-automation/SKILL.md` 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：`README.md`
- **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：`CHANGELOG.md`, `README.md`
- **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**：先感受它会怎样改变 AI 的开发节奏，再决定是否让它进入真实宿主。（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。）
- **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。）
- **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。
- **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。
- **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。
- **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_0009` inferred 0.45
- **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` Claim：`clm_0010` 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：`assets/agent-skills/agent-introspection-debugging/SKILL.md`, `assets/agent-skills/api-and-interface-design/SKILL.md`, `assets/agent-skills/browser-testing-with-devtools/SKILL.md`, `assets/agent-skills/ci-cd-and-automation/SKILL.md` 等 Claim：`clm_0001` 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` Claim：`clm_0002` supported 0.86

### 上下文规模

- 文件总数：1246
- 重要文件覆盖：40/1246
- 证据索引条目：80
- 角色 / Skill 条目：30

### 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 titan 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 titan 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 titan 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 30 个角色 / Skill / 项目文档条目。

- **agent-introspection-debugging**（skill）：Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. 激活提示：当用户任务与“agent-introspection-debugging”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：`assets/agent-skills/agent-introspection-debugging/SKILL.md`
- **api-and-interface-design**（skill）：Guides stable API and interface design. Use when designing APIs, module boundaries, or any public interface. Use when creating REST or GraphQL endpoints, defining type contracts between modules, or establishing boundaries between frontend and backend. 激活提示：当用户任务与“api-and-interface-design”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：`assets/agent-skills/api-and-interface-design/SKILL.md`
- **browser-testing-with-devtools**（skill）：Tests in real browsers. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data via Chrome DevTools MCP. 激活提示：当用户任务与“browser-testing-with-devtools”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：`assets/agent-skills/browser-testing-with-devtools/SKILL.md`
- **ci-cd-and-automation**（skill）：Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies. 激活提示：当用户任务与“ci-cd-and-automation”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：`assets/agent-skills/ci-cd-and-automation/SKILL.md`
- **code-review-and-quality**（skill）：Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch. 激活提示：当用户任务与“code-review-and-quality”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：`assets/agent-skills/code-review-and-quality/SKILL.md`
- **code-simplification**（skill）：Simplifies code for clarity. Use when refactoring code for clarity without changing behavior. Use when code works but is harder to read, maintain, or extend than it should be. Use when reviewing code that has accumulated unnecessary complexity. 激活提示：当用户任务与“code-simplification”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：`assets/agent-skills/code-simplification/SKILL.md`
- **context-engineering**（skill）：Optimizes agent context setup. Use when starting a new session, when agent output quality degrades, when switching between tasks, or when you need to configure rules files and context for a project. 激活提示：当用户任务与“context-engineering”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：`assets/agent-skills/context-engineering/SKILL.md`
- **continuous-agent-loop**（skill）：Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls. 激活提示：当用户任务与“continuous-agent-loop”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：`assets/agent-skills/continuous-agent-loop/SKILL.md`
- **continuous-learning**（skill）：DEPRECATED - use continuous-learning-v2 Legacy v1 stop-hook skill extractor. v2 is a strict superset with instinct-based, project-scoped, hook-reliable learning. Do not invoke v1; route continuous learning, session learning, and pattern extraction requests to continuous-learning-v2. 激活提示：当用户任务与“continuous-learning”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：`assets/agent-skills/continuous-learning/SKILL.md`
- **debugging-and-error-recovery**（skill）：Guides systematic root-cause debugging. Use when tests fail, builds break, behavior doesn't match expectations, or you encounter any unexpected error. Use when you need a systematic approach to finding and fixing the root cause rather than guessing. 激活提示：当用户任务与“debugging-and-error-recovery”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：`assets/agent-skills/debugging-and-error-recovery/SKILL.md`
- **deprecation-and-migration**（skill）：Manages deprecation and migration. Use when removing old systems, APIs, or features. Use when migrating users from one implementation to another. Use when deciding whether to maintain or sunset existing code. 激活提示：当用户任务与“deprecation-and-migration”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：`assets/agent-skills/deprecation-and-migration/SKILL.md`
- **documentation-and-adrs**（skill）：Records decisions and documentation. Use when making architectural decisions, changing public APIs, shipping features, or when you need to record context that future engineers and agents will need to understand the codebase. 激活提示：当用户任务与“documentation-and-adrs”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：`assets/agent-skills/documentation-and-adrs/SKILL.md`
- **doubt-driven-development**（skill）：Subjects every non-trivial decision to a fresh-context adversarial review before it stands. Use when correctness matters more than speed, when working in unfamiliar code, when stakes are high production, security-sensitive logic, irreversible operations , or any time a confident output would be cheaper to verify now than to debug later. 激活提示：当用户任务与“doubt-driven-development”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：`assets/agent-skills/doubt-driven-development/SKILL.md`
- **frontend-ui-engineering**（skill）：Builds production-quality UIs. Use when building or modifying user-facing interfaces. Use when creating components, implementing layouts, managing state, or when the output needs to look and feel production-quality rather than AI-generated. 激活提示：当用户任务与“frontend-ui-engineering”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：`assets/agent-skills/frontend-ui-engineering/SKILL.md`
- **git-workflow-and-versioning**（skill）：Structures git workflow practices. Use when making any code change. Use when committing, branching, resolving conflicts, or when you need to organize work across multiple parallel streams. 激活提示：当用户任务与“git-workflow-and-versioning”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：`assets/agent-skills/git-workflow-and-versioning/SKILL.md`
- **idea-refine**（skill）：Refines ideas iteratively. Refine ideas through structured divergent and convergent thinking. Use "idea-refine" or "ideate" to trigger. 激活提示：当用户任务与“idea-refine”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：`assets/agent-skills/idea-refine/SKILL.md`
- **incremental-implementation**（skill）：Delivers changes incrementally. Use when implementing any feature or change that touches more than one file. Use when you're about to write a large amount of code at once, or when a task feels too big to land in one step. 激活提示：当用户任务与“incremental-implementation”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：`assets/agent-skills/incremental-implementation/SKILL.md`
- **performance-optimization**（skill）：Optimizes application performance. Use when performance requirements exist, when you suspect performance regressions, or when Core Web Vitals or load times need improvement. Use when profiling reveals bottlenecks that need fixing. 激活提示：当用户任务与“performance-optimization”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：`assets/agent-skills/performance-optimization/SKILL.md`
- **planning-and-task-breakdown**（skill）：Breaks work into ordered tasks. Use when you have a spec or clear requirements and need to break work into implementable tasks. Use when a task feels too large to start, when you need to estimate scope, or when parallel work is possible. 激活提示：当用户任务与“planning-and-task-breakdown”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：`assets/agent-skills/planning-and-task-breakdown/SKILL.md`
- **production-audit**（skill）：Local-evidence production readiness audit for shipped apps, pre-launch reviews, post-merge checks, and "what breaks in prod?" questions without sending repo data to an external audit service. 激活提示：当用户任务与“production-audit”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：`assets/agent-skills/production-audit/SKILL.md`
- **recursive-decision-ledger**（skill）：Use when the user asks for repeated rollouts, marked decision processes, high-dimensional search, stochastic optimization, local-optima exploration, ensemble comparison, or recursive reasoning with a visible evidence trail. 激活提示：当用户任务与“recursive-decision-ledger”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：`assets/agent-skills/recursive-decision-ledger/SKILL.md`
- **literature-review**（skill）：Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging. 激活提示：当用户任务与“literature-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：`assets/agent-skills/scientific-thinking-literature-review/SKILL.md`
- **scholar-evaluation**（skill）：Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback. 激活提示：当用户任务与“scholar-evaluation”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：`assets/agent-skills/scientific-thinking-scholar-evaluation/SKILL.md`
- **security-and-hardening**（skill）：Hardens code against vulnerabilities. Use when handling user input, authentication, data storage, or external integrations. Use when building any feature that accepts untrusted data, manages user sessions, or interacts with third-party services. 激活提示：当用户任务与“security-and-hardening”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：`assets/agent-skills/security-and-hardening/SKILL.md`
- **shipping-and-launch**（skill）：Prepares production launches. Use when preparing to deploy to production. Use when you need a pre-launch checklist, when setting up monitoring, when planning a staged rollout, or when you need a rollback strategy. 激活提示：当用户任务与“shipping-and-launch”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：`assets/agent-skills/shipping-and-launch/SKILL.md`
- **source-driven-development**（skill）：Grounds every implementation decision in official documentation. Use when you want authoritative, source-cited code free from outdated patterns. Use when building with any framework or library where correctness matters. 激活提示：当用户任务与“source-driven-development”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：`assets/agent-skills/source-driven-development/SKILL.md`
- **spec-driven-development**（skill）：Creates specs before coding. Use when starting a new project, feature, or significant change and no specification exists yet. Use when requirements are unclear, ambiguous, or only exist as a vague idea. 激活提示：当用户任务与“spec-driven-development”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：`assets/agent-skills/spec-driven-development/SKILL.md`
- **test-driven-development**（skill）：Drives development with tests. Use when implementing any logic, fixing any bug, or changing any behavior. Use when you need to prove that code works, when a bug report arrives, or when you're about to modify existing functionality. 激活提示：当用户任务与“test-driven-development”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：`assets/agent-skills/test-driven-development/SKILL.md`
- **using-agent-skills**（skill）：Discovers and invokes agent skills. Use when starting a session or when you need to discover which skill applies to the current task. This is the meta-skill that governs how all other skills are discovered and invoked. 激活提示：当用户任务与“using-agent-skills”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：`assets/agent-skills/using-agent-skills/SKILL.md`
- **verification-loop**（skill）：A comprehensive verification system for TITAN sessions. 激活提示：当用户任务与“verification-loop”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：`assets/agent-skills/verification-loop/SKILL.md`

## 证据索引

- 共索引 80 条证据。

- **TITAN Autopilot Playbooks**（documentation）：Pre-built autopilot templates for autonomous income generation. Copy the relevant sections into your ~/.titan/AUTOPILOT.md file. 证据：`docs/autopilot-playbooks/README.md`
- **TITAN**（documentation）：TITAN — A local-first AI agent framework that runs on your hardware, with your models, under your control. Spawn a team of specialists around a goal, watch them work live — step-by-step, with real file diffs — and stay in the loop without giving up control. npm i -g titan-agent // : npm-text-end 证据：`README.md`
- **TITAN Benchmark Harness**（documentation）：Automated health checks for TITAN. Run these to verify TITAN is healthy before and after changes. 证据：`benchmarks/README.md`
- **TITAN Examples**（documentation）：Runnable examples for the titan-agent https://www.npmjs.com/package/titan-agent framework. 证据：`examples/README.md`
- **Agent Starter for React**（documentation）：This is a starter template for LiveKit Agents https://docs.livekit.io/agents that provides a simple voice interface using Agents UI https://livekit.io/ui components and LiveKit JavaScript SDK https://github.com/livekit/client-sdk-js . It supports voice https://docs.livekit.io/agents/start/voice-ai , transcriptions https://docs.livekit.io/agents/build/text/ , and virtual avatars https://docs.livekit.io/agents/integrations/avatar . 证据：`titan-voice-ui/README.md`
- **Basic Agent Example**（documentation）：A minimal CLI agent that demonstrates TITAN's core capabilities: sending messages, using tools, and managing sessions. 证据：`examples/basic-agent/README.md`
- **MCP Server Example**（documentation）：A Model Context Protocol MCP server that exposes TITAN's tools to Claude Desktop, Cursor, and other MCP-compatible clients via JSON-RPC 2.0 over stdio and HTTP. 证据：`examples/mcp-server/README.md`
- **Mission Control Extension Example**（documentation）：A custom admin panel for TITAN's Mission Control v2 dashboard. Demonstrates how to build and integrate custom UI panels into the Mission Control interface. 证据：`examples/mission-control-extension/README.md`
- **Multi-Agent Orchestration Example**（documentation）：Demonstrates TITAN's multi-agent capabilities: spawning sub-agents with constrained toolsets, managing goal hierarchies, and enforcing Command Post budgets. 证据：`examples/multi-agent-orchestration/README.md`
- **Voice Integration Example**（documentation）：A LiveKit WebRTC voice agent that demonstrates TITAN's voice pipeline capabilities including real-time speech recognition, TTS synthesis, and WebRTC audio streaming. 证据：`examples/voice-integration/README.md`
- **Package**（package_manifest）：{ "name": "titan-agent", "version": "7.2.1", "description": "TITAN — the AI agent that provably teaches itself. TypeScript agent framework with replay-verified self-learned skills Muscle Memory , one-minute Welcome Mode setup, a living desk with heartbeat/reminders/proactive memory, multi-agent orchestration, 36-provider routing, approval gates, receipts, evals, and a React Mission Control dashboard. Open-source, MIT.", "author": "Tony Elliott https://github.com/Djtony707 ", "repository": { "type": "git", "url": "git+https://github.com/Djtony707/TITAN.git" }, "license": "MIT", "homepage": "https://github.com/Djtony707/TITAN", "bugs": { "url": "https://github.com/Djtony707/TITAN/issues" }, "… 证据：`package.json`
- **Package**（package_manifest）：{ "name": "agent-starter-react", "version": "0.1.0", "private": true, "scripts": { "dev": "next dev --turbopack", "build": "next build", "start": "next start", "lint": "next lint", "format": "prettier --write .", "format:check": "prettier --check .", "shadcn:install": "pnpm dlx shadcn@latest add --yes --overwrite @agents-ui/agent-audio-visualizer-bar @agents-ui/agent-audio-visualizer-grid @agents-ui/agent-audio-visualizer-radial @agents-ui/agent-control-bar @agents-ui/agent-session-provider @agents-ui/agent-track-control @agents-ui/agent-track-toggle @agents-ui/agent-chat-transcript @agents-ui/agent-chat-indicator @agents-ui/start-audio-button @agents-ui/agent-audio-visualizer-aura @agents-… 证据：`titan-voice-ui/package.json`
- **Package**（package_manifest）：{ "name": "titan-mission-control", "private": true, "version": "0.0.1", "type": "module", "scripts": { "dev": "vite", "build": "tsc -b && vite build", "preview": "vite preview" }, "dependencies": { "@tanstack/react-query": "^5.99.2", "@tanstack/react-query-devtools": "^5.99.2", "clsx": "^2.1.1", "lucide-react": "^0.513.0", "motion": "^12.12.2", "react": "^19.1.0", "react-dom": "^19.1.0", "react-grid-layout": "^2.2.3", "react-markdown": "^10.1.0", "react-router": "^7.17.0", "rehype-highlight": "^7.0.2", "remark-gfm": "^4.0.1", "tailwind-merge": "^3.3.0", "y-indexeddb": "^9.0.12", "y-webrtc": "^10.3.0", "yjs": "^13.6.30" }, "devDependencies": { "@tailwindcss/vite": "^4.3.2", "@types/react": "… 证据：`ui/package.json`
- **Package**（package_manifest）：{ "name": "@titan-agent/example-basic-agent", "version": "1.0.0", "description": "TITAN example: Basic CLI agent with tool usage", "type": "module", "main": "src/index.ts", "scripts": { "start": "tsx src/index.ts", "dev": "tsx watch src/index.ts", "build": "tsc", "typecheck": "tsc --noEmit" }, "keywords": "titan-agent", "example", "ai-agent", "cli" , "author": "Tony Elliott", "license": "MIT", "dependencies": { "titan-agent": "^2026.10.68" }, "devDependencies": { "tsx": "^4.19.2", "typescript": "^5.7.2" } } 证据：`examples/basic-agent/package.json`
- **Package**（package_manifest）：{ "name": "@titan-agent/example-mcp-server", "version": "1.0.0", "description": "TITAN example: MCP Server exposing tools via JSON-RPC 2.0", "type": "module", "main": "src/index.ts", "scripts": { "start": "tsx src/index.ts", "dev": "tsx watch src/index.ts", "build": "tsc", "typecheck": "tsc --noEmit" }, "keywords": "titan-agent", "example", "mcp", "model-context-protocol", "claude", "cursor" , "author": "Tony Elliott", "license": "MIT", "dependencies": { "titan-agent": "^2026.10.68", "@modelcontextprotocol/sdk": "^0.5.0" }, "devDependencies": { "tsx": "^4.19.2", "typescript": "^5.7.2" } } 证据：`examples/mcp-server/package.json`
- **Package**（package_manifest）：{ "name": "@titan-agent/example-mission-control-extension", "version": "1.0.0", "description": "TITAN example: Custom admin panel for Mission Control v2", "type": "module", "main": "src/panel.tsx", "scripts": { "dev": "tsx watch src/panel.tsx", "build": "tsc", "typecheck": "tsc --noEmit" }, "keywords": "titan-agent", "example", "mission-control", "react", "admin-panel" , "author": "Tony Elliott", "license": "MIT", "dependencies": { "react": "^19.0.0", "react-dom": "^19.0.0" }, "devDependencies": { "@types/react": "^19.0.0", "@types/react-dom": "^19.0.0", "tsx": "^4.19.2", "typescript": "^5.7.2" } } 证据：`examples/mission-control-extension/package.json`
- **Package**（package_manifest）：{ "name": "@titan-agent/example-multi-agent-orchestration", "version": "1.0.0", "description": "TITAN example: Multi-agent orchestration with sub-agent spawning, goal hierarchy, and Command Post budgets", "type": "module", "main": "src/index.ts", "scripts": { "start": "tsx src/index.ts", "dev": "tsx watch src/index.ts", "build": "tsc", "typecheck": "tsc --noEmit" }, "keywords": "titan-agent", "example", "multi-agent", "orchestration", "sub-agent", "command-post" , "author": "Tony Elliott", "license": "MIT", "dependencies": { "titan-agent": "^2026.10.68" }, "devDependencies": { "tsx": "^4.19.2", "typescript": "^5.7.2" } } 证据：`examples/multi-agent-orchestration/package.json`
- **Package**（package_manifest）：{ "name": "@titan-agent/example-voice-integration", "version": "1.0.0", "description": "TITAN example: LiveKit WebRTC voice agent integration", "type": "module", "main": "src/index.ts", "scripts": { "start": "tsx src/index.ts", "dev": "tsx watch src/index.ts", "build": "tsc", "typecheck": "tsc --noEmit" }, "keywords": "titan-agent", "example", "voice", "livekit", "webrtc", "tts", "speech" , "author": "Tony Elliott", "license": "MIT", "dependencies": { "titan-agent": "^2026.10.68", "livekit-client": "^2.7.0", "livekit-server-sdk": "^2.9.0" }, "devDependencies": { "@types/ws": "^8.5.13", "tsx": "^4.19.2", "typescript": "^5.7.2" } } 证据：`examples/voice-integration/package.json`
- **Contributing to TITAN**（documentation）：Thank you for your interest in contributing to TITAN. Here's everything you need to get started. 证据：`CONTRIBUTING.md`
- **Agent Introspection Debugging**（skill_instruction）：Use this skill when an agent run is failing repeatedly, consuming tokens without progress, looping on the same tools, or drifting away from the intended task. 证据：`assets/agent-skills/agent-introspection-debugging/SKILL.md`
- **API and Interface Design**（skill_instruction）：Design stable, well-documented interfaces that are hard to misuse. Good interfaces make the right thing easy and the wrong thing hard. This applies to REST APIs, GraphQL schemas, module boundaries, component props, and any surface where one piece of code talks to another. 证据：`assets/agent-skills/api-and-interface-design/SKILL.md`
- **Browser Testing with DevTools**（skill_instruction）：Use Chrome DevTools MCP to give your agent eyes into the browser. This bridges the gap between static code analysis and live browser execution — the agent can see what the user sees, inspect the DOM, read console logs, analyze network requests, and capture performance data. Instead of guessing what's happening at runtime, verify it. 证据：`assets/agent-skills/browser-testing-with-devtools/SKILL.md`
- **CI/CD and Automation**（skill_instruction）：Automate quality gates so that no change reaches production without passing tests, lint, type checking, and build. CI/CD is the enforcement mechanism for every other skill — it catches what humans and agents miss, and it does so consistently on every single change. 证据：`assets/agent-skills/ci-cd-and-automation/SKILL.md`
- **Code Review and Quality**（skill_instruction）：Multi-dimensional code review with quality gates. Every change gets reviewed before merge — no exceptions. Review covers five axes: correctness, readability, architecture, security, and performance. 证据：`assets/agent-skills/code-review-and-quality/SKILL.md`
- **Code Simplification**（skill_instruction）：Inspired by the Claude Code Simplifier plugin https://github.com/anthropics/claude-plugins-official/blob/main/plugins/code-simplifier/agents/code-simplifier.md . Adapted here as a model-agnostic, process-driven skill for any AI coding agent. 证据：`assets/agent-skills/code-simplification/SKILL.md`
- **Context Engineering**（skill_instruction）：Feed agents the right information at the right time. Context is the single biggest lever for agent output quality — too little and the agent hallucinates, too much and it loses focus. Context engineering is the practice of deliberately curating what the agent sees, when it sees it, and how it's structured. 证据：`assets/agent-skills/context-engineering/SKILL.md`
- **Continuous Agent Loop**（skill_instruction）：This is the v1.8+ canonical loop skill name. It supersedes autonomous-loops while keeping compatibility for one release. 证据：`assets/agent-skills/continuous-agent-loop/SKILL.md`
- **Continuous Learning Skill - DEPRECATED**（skill_instruction）：Continuous Learning Skill - DEPRECATED 证据：`assets/agent-skills/continuous-learning/SKILL.md`
- **Debugging and Error Recovery**（skill_instruction）：Systematic debugging with structured triage. When something breaks, stop adding features, preserve evidence, and follow a structured process to find and fix the root cause. Guessing wastes time. The triage checklist works for test failures, build errors, runtime bugs, and production incidents. 证据：`assets/agent-skills/debugging-and-error-recovery/SKILL.md`
- **Deprecation and Migration**（skill_instruction）：Code is a liability, not an asset. Every line of code has ongoing maintenance cost — bugs to fix, dependencies to update, security patches to apply, and new engineers to onboard. Deprecation is the discipline of removing code that no longer earns its keep, and migration is the process of moving users safely from the old to the new. 证据：`assets/agent-skills/deprecation-and-migration/SKILL.md`
- **Documentation and ADRs**（skill_instruction）：Document decisions, not just code. The most valuable documentation captures the why — the context, constraints, and trade-offs that led to a decision. Code shows what was built; documentation explains why it was built this way and what alternatives were considered . This context is essential for future humans and agents working in the codebase. 证据：`assets/agent-skills/documentation-and-adrs/SKILL.md`
- **Doubt-Driven Development**（skill_instruction）：A confident answer is not a correct one. Long sessions accumulate context that quietly turns assumptions into "facts" without anyone noticing. Doubt-driven development is the discipline of materializing a fresh-context reviewer — biased to disprove , not approve — before any non-trivial output stands. 证据：`assets/agent-skills/doubt-driven-development/SKILL.md`
- **Frontend UI Engineering**（skill_instruction）：Build production-quality user interfaces that are accessible, performant, and visually polished. The goal is UI that looks like it was built by a design-aware engineer at a top company — not like it was generated by an AI. This means real design system adherence, proper accessibility, thoughtful interaction patterns, and no generic "AI aesthetic." 证据：`assets/agent-skills/frontend-ui-engineering/SKILL.md`
- **Git Workflow and Versioning**（skill_instruction）：Git is your safety net. Treat commits as save points, branches as sandboxes, and history as documentation. With AI agents generating code at high speed, disciplined version control is the mechanism that keeps changes manageable, reviewable, and reversible. 证据：`assets/agent-skills/git-workflow-and-versioning/SKILL.md`
- **Idea Refine**（skill_instruction）：Refines raw ideas into sharp, actionable concepts worth building through structured divergent and convergent thinking. 证据：`assets/agent-skills/idea-refine/SKILL.md`
- **Incremental Implementation**（skill_instruction）：Build in thin vertical slices — implement one piece, test it, verify it, then expand. Avoid implementing an entire feature in one pass. Each increment should leave the system in a working, testable state. This is the execution discipline that makes large features manageable. 证据：`assets/agent-skills/incremental-implementation/SKILL.md`
- **Performance Optimization**（skill_instruction）：Measure before optimizing. Performance work without measurement is guessing — and guessing leads to premature optimization that adds complexity without improving what matters. Profile first, identify the actual bottleneck, fix it, measure again. Optimize only what measurements prove matters. 证据：`assets/agent-skills/performance-optimization/SKILL.md`
- **Planning and Task Breakdown**（skill_instruction）：Decompose work into small, verifiable tasks with explicit acceptance criteria. Good task breakdown is the difference between an agent that completes work reliably and one that produces a tangled mess. Every task should be small enough to implement, test, and verify in a single focused session. 证据：`assets/agent-skills/planning-and-task-breakdown/SKILL.md`
- **Production Audit**（skill_instruction）：Use this skill when the user asks whether an application is ready to ship, what could break in production, or what must be fixed before a launch. This is a maintainer-safe rewrite of the stale community production-audit idea: it keeps the useful production-readiness lens and removes unpinned external execution and third-party data sharing. 证据：`assets/agent-skills/production-audit/SKILL.md`
- **Recursive Decision Ledger**（skill_instruction）：Use this skill when the user is trying to force deeper computation through repeated rollouts or "Prime Gauss" style recursive prompting. Preserve the useful part: repeated trials, prior memory, fresh information, and explicit marks. Remove the unsafe part: pretending the loop proves certainty. 证据：`assets/agent-skills/recursive-decision-ledger/SKILL.md`
- **Literature Review**（skill_instruction）：Use this skill when the task is to find, screen, synthesize, and cite a body of academic or technical literature. 证据：`assets/agent-skills/scientific-thinking-literature-review/SKILL.md`
- **Scholar Evaluation**（skill_instruction）：Use this skill to evaluate academic or scientific work with a repeatable rubric. 证据：`assets/agent-skills/scientific-thinking-scholar-evaluation/SKILL.md`
- **Security and Hardening**（skill_instruction）：Security-first development practices for web applications. Treat every external input as hostile, every secret as sacred, and every authorization check as mandatory. Security isn't a phase — it's a constraint on every line of code that touches user data, authentication, or external systems. 证据：`assets/agent-skills/security-and-hardening/SKILL.md`
- **Shipping and Launch**（skill_instruction）：Ship with confidence. The goal is not just to deploy — it's to deploy safely, with monitoring in place, a rollback plan ready, and a clear understanding of what success looks like. Every launch should be reversible, observable, and incremental. 证据：`assets/agent-skills/shipping-and-launch/SKILL.md`
- **Source-Driven Development**（skill_instruction）：Every framework-specific code decision must be backed by official documentation. Don't implement from memory — verify, cite, and let the user see your sources. Training data goes stale, APIs get deprecated, best practices evolve. This skill ensures the user gets code they can trust because every pattern traces back to an authoritative source they can check. 证据：`assets/agent-skills/source-driven-development/SKILL.md`
- **Spec-Driven Development**（skill_instruction）：Write a structured specification before writing any code. The spec is the shared source of truth between you and the human engineer — it defines what we're building, why, and how we'll know it's done. Code without a spec is guessing. 证据：`assets/agent-skills/spec-driven-development/SKILL.md`
- **Using Agent Skills**（skill_instruction）：Agent Skills is a collection of engineering workflow skills organized by development phase. Each skill encodes a specific process that senior engineers follow. This meta-skill helps you discover and apply the right skill for your current task. 证据：`assets/agent-skills/using-agent-skills/SKILL.md`
- **Verification Loop Skill**（skill_instruction）：A comprehensive verification system for TITAN sessions. 证据：`assets/agent-skills/verification-loop/SKILL.md`
- **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`
- **Test-Driven Development**（skill_instruction）：Write a failing test before writing the code that makes it pass. For bug fixes, reproduce the bug with a test before attempting a fix. Tests are proof — "seems right" is not done. A codebase with good tests is an AI agent's superpower; a codebase without tests is a liability. 证据：`assets/agent-skills/test-driven-development/SKILL.md`
- **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：`titan-voice-ui/LICENSE`
- **ADR-001: TITAN-Soma — Homeostatic Drives as the Fourth Layer**（documentation）：ADR-001: TITAN-Soma — Homeostatic Drives as the Fourth Layer 证据：`docs/ADR-001-soma.md`
- **TITAN Agent Orchestration Hierarchy**（documentation）：TITAN Agent Orchestration Hierarchy 证据：`docs/AGENT-HIERARCHY.md`
- **Benchmarks & Performance**（documentation）：Performance characteristics of TITAN titan-agent measured on typical development hardware. 证据：`docs/BENCHMARKS.md`
- **F5-TTS Voice Setup — TITAN 3.0**（documentation）：TITAN 3.0 uses F5-TTS as its sole TTS engine. No Orpheus, no Qwen3-TTS, no Edge TTS, no browser fallback. Just F5-TTS with zero-shot voice cloning. 证据：`docs/F5_TTS_VOICE_SETUP.md`
- **TITAN FAQ — Frequently Asked Questions**（documentation）：TITAN FAQ — Frequently Asked Questions 证据：`docs/FAQ.md`
- **First Steps with TITAN — A Developer's Tutorial**（documentation）：First Steps with TITAN — A Developer's Tutorial 证据：`docs/FIRST-STEPS.md`
- **TITAN — Harness Patterns**（documentation）：A self-audit of where TITAN stands against the agent-harness ecosystem catalogued in Picrew/awesome-agent-harness https://github.com/Picrew/awesome-agent-harness and the principles in 12 Factor Agents https://github.com/humanlayer/12-factor-agents . 证据：`docs/HARNESS-PATTERNS.md`
- **TITAN ↔ Hermes ↔ OpenClaw — Agent Interop**（documentation）：TITAN ↔ Hermes ↔ OpenClaw — Agent Interop 证据：`docs/INTEROP.md`
- **Migration Guide**（documentation）：Upgrading to v7.0.0 "Independence" from v5.x / v6.x 证据：`docs/MIGRATION.md`
- 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/autopilot-playbooks/README.md`, `README.md`, `benchmarks/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/autopilot-playbooks/README.md`, `README.md`, `benchmarks/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。

- **项目概览**：importance `high`
  - source_paths: Dockerfile, README.md, package.json, titan-voice-agent/Dockerfile, titan-voice-server/Dockerfile
- **Lib 模块**：importance `high`
  - source_paths: src/lib/auto-heal/repair-strategies.ts, src/lib/auto-heal/types.ts, src/lib/dep-monitor/types.ts
- **Lib 模块**：importance `high`
  - source_paths: ui/src/lib/approvalHeadline.ts, ui/src/lib/queryClient.ts, ui/src/lib/queryKeys.ts
- **Lib 模块**：importance `high`
  - source_paths: titan-voice-ui/lib/shadcn/utils.ts, titan-voice-ui/lib/utils.ts
- **Api 模块**：importance `medium`
  - source_paths: ui/src/api/client.ts, ui/src/api/dashboard.ts, ui/src/api/eval.ts, ui/src/api/missions.ts, ui/src/api/telemetry.ts
- **Api 模块**：importance `medium`
  - source_paths: titan-voice-ui/app/api/token/route.ts
- **App 模块**：importance `medium`
  - source_paths: titan-voice-ui/components/app/app.tsx, titan-voice-ui/components/app/theme-provider.tsx, titan-voice-ui/components/app/theme-toggle.tsx, titan-voice-ui/components/app/view-controller.tsx, titan-voice-ui/components/app/welcome-view.tsx
- **App 模块**：importance `medium`
  - source_paths: titan-voice-ui/app/api/token/route.ts, titan-voice-ui/app/layout.tsx, titan-voice-ui/app/opengraph-image.tsx, titan-voice-ui/app/page.tsx

## Repo Inspection Evidence / 源码检查证据

- repo_clone_verified: true
- repo_inspection_verified: true
- repo_commit: `60b3c927f5cbfc486206c5b0d8a9d5e059e3897c`
- inspected_files: `Dockerfile`, `README.md`, `docker-compose.yml`, `package.json`, `docs/ADR-001-soma.md`, `docs/AGENT-HIERARCHY.md`, `docs/BENCHMARKS.md`, `docs/F5_TTS_VOICE_SETUP.md`, `docs/FAQ.md`, `docs/FIRST-STEPS.md`, `docs/HARNESS-PATTERNS.md`, `docs/INTEROP.md`, `docs/MIGRATION.md`, `docs/MIGRATIONS.md`, `docs/MODELS.md`, `docs/PIPELINES.md`, `docs/ROADMAP.md`, `docs/UPGRADING.md`, `docs/V6-ADMIN-BUCKETS.md`, `docs/VOICE.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 | https://github.com/Djtony707/TITAN | 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 | https://github.com/Djtony707/TITAN | 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。

- Trigger: no_demo
- Evidence: downstream_validation.risk_items | https://github.com/Djtony707/TITAN | 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
- Why it matters: 风险会影响是否适合普通用户安装。
- Evidence: risks.scoring_risks | https://github.com/Djtony707/TITAN | 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 | https://github.com/Djtony707/TITAN | 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 | https://github.com/Djtony707/TITAN | 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。