依赖清单文档化 · Dependency Doc Generator
把项目依赖整理成带用途、版本、风险与升级建议的可维护文档。 Turn project dependencies into maintainable documentation with purpose, version, risk, and upgrade guidance.
$7
Works with the AI Agents you already use
依赖清单文档化 · Dependency Doc Generator
Example session with this skill installed
请把 requirements.txt 里的 18 个 Python 依赖整理成文档,标注用途、风险与升级建议。
- Read your context and instructions
- Compiled the dependency doc generator
依赖清单文档已生成。
| 依赖 | 版本 | 用途 | 风险 | 建议 |
|---|---|---|---|---|
| fastapi | 0.110 | Web 框架 | 低 | 季度升 |
| uvicorn | 0.29 | ASGI 服务 | 低 | 保持 |
| requests | 2.31 | HTTP 客户端 | 中(历史 CVE) | 升 2.32+ |
| pandas | 2.2 | 数据处理 | 中(体积大) | 锁定小版本 |
| celery | 5.3 | 任务队列 | 高(配置复杂) | 团队 review |
升级检查清单
- requests 升级并回归鉴权逻辑
- 移除未使用的 2 个依赖
- 用 pip-audit 跑一次漏洞扫描
Next steps
- 先处理 CVE 相关依赖。
- 每季度更新一次文档。
Connects securely to your tools. The creator never sees your data.
About this skill
它解决什么问题
依赖关系的增长没有记录:没有人知道为什么有一个包存在,哪些是固定的,或者哪些带有已知的漏洞。
这个技能做什么
- 从锁定文件或包清单构建依赖项清单。
- 添加每个依赖项的用途、版本策略和风险说明。
- 标记过时、未固定和废弃的包裹。
- 输出带有升级清单的 Markdown 文档。
为什么比裸提示词强
它强制执行依赖文档框架:名称、版本、用途、风险、升级路径,因此该列表在添加它的人离开后仍然有用。
典型用例
- 在移交之前记录遗留服务。
- 每月依赖性健康审查。
- 让开发人员使用新的代码库。
局限
它记录了您的舱单声明的内容;仅运行时导入仍然需要扫描工具。
模糊的English · 英文介绍
The problem
Dependencies grow undocumented: nobody knows why a package is there, which are pinned, or which carry known vulnerabilities.
What it does
- Builds a dependency inventory from lock files or package manifests.
- Adds purpose, version policy, and risk notes per dependency.
- Flags outdated, unpinned, and abandoned packages.
- Outputs a markdown doc with an upgrade checklist.
Why this beats prompting it yourself
It enforces a dependency doc frame: name, version, purpose, risk, upgrade path, so the list stays useful after the person who added it leaves.
Use cases
- Documenting a legacy service before handover.
- Monthly dependency health review.
- Onboarding developers onto a new codebase.
Known limitations
It documents what your manifests declare; runtime-only imports still need a scan tool.
fu'z'yHow to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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