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audit-coverage
Audit MVP component, platform mechanism, and advanced mechanism coverage for analyzed agents, identifying gaps and suggesting next steps
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Audit MVP component, platform mechanism, and advanced mechanism coverage for analyzed agents, identifying gaps and suggesting next steps
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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Codex workflow adapter for this repository. Use when working in agent-cracker to translate Claude-style slash workflows into skill usage, remember manual checks that Claude hooks would normally perform, and keep docs/config/progress files in sync.
Systematically analyze an AI agent's source code across 8 core + 4 optional platform dimensions and output structured analysis to docs/<agent>.md
Create a minimal reproduction demo for a specific mechanism from an analyzed AI agent (coding or platform)
Translate project documents between Chinese and English, supporting single files, directories, and batch modes while preserving formatting and domain terminology
| name | audit-coverage |
| description | Audit MVP component, platform mechanism, and advanced mechanism coverage for analyzed agents, identifying gaps and suggesting next steps |
Check MVP component, platform mechanism, and advanced mechanism coverage for analyzed agents. Identifies which demos exist, which are missing, and recommends next steps. Supports both coding agents and platform agents.
/audit-coverage [agent-name]
agent-name: audit that specific agentin-progress or donedocs/<agent-name>.mdRead docs/<agent-name>.md and extract:
If D9-D12 sections exist and contain content (not "不适用"):
agents.yaml for type: agent-platform confirmationRead demos/<agent-name>/README.md (overview):
[x] (done) vs [ ] (missing)[x] vs [ ][x] vs [ ]mini-<agent> directory exists (complete integration)If overview uses old format (flat list without MVP/进阶 sections):
Read agents.yaml for analyzed_date:
/check-updates firstOutput a structured report:
## <agent> — Coverage Audit
### MVP 组件覆盖
| 组件 | Demo 状态 | 建议语言 | 建议操作 |
|------|-----------|----------|----------|
| core-loop | ❌ 缺失 | Python | /create-demo <agent> core-loop |
| edit-apply | ✅ 已覆盖 (search-replace) | — | — |
### 平台机制覆盖 _(仅平台型 agent)_
| 机制 | 来源维度 | 状态 | 建议操作 |
|------|----------|------|----------|
| channel-router | D9 | ❌ | /create-demo <agent> channel-router |
| memory-retrieval | D10 | ❌ | /create-demo <agent> memory-retrieval |
### 进阶机制覆盖
| 机制 | 状态 |
|------|------|
| repomap | ✅ |
| fuzzy-match | ❌ |
### 完整串联
- mini-<agent>: ❌ 未创建(需先完成所有 MVP 组件 + 平台机制)
### 文档状态
- analyzed_date: YYYY-MM-DD (N 天前)
- 7.5 节: ✅ 存在 / ❌ 缺失(建议补充)
- D9-D12: ✅ 已填写 / ⬜ 不适用(纯 coding agent)
### 总结
- MVP: 2/5 (40%) | 平台: 0/3 (0%) | 进阶: 4/8 (50%) | 串联: 0/1 | 总计: 6/17
- 下一步: 创建 core-loop demo
These two skills are complementary:
/audit-coverage → 查覆盖缺口(有什么没有什么)/check-updates → 查内容时效(现有的还准不准)When /audit-coverage discovers freshness issues (analyzed_date > 30 days), it recommends running /check-updates first.