Install
$ agentstack add skill-ejjcc-agent-skills-codify ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
/codify — 知识沉淀技能
把会话中散落的调研结论、踩坑记录、新发现,提炼为结构化 md 文档落盘。
触发方式
/codify— 自动提炼当前上下文,存到工作目录/codify或 "沉淀到 X" — 指定子目录(如asksurf)- "沉淀" — 等价于
/codify
工作流
Step 1:确定存储路径
| 用户输入 | 存储路径 | |---------|---------| | /codify | /codify-.md(topic 从上下文推断) | | /codify | //README.md | | "沉淀到 X" | /X/README.md | | "沉淀到 X/file.md" | /X/file.md(用户指定完整文件名) |
Step 2:判断内容性质与格式
先扫描当前工作目录已有的 md 文件,感知 workspace 的风格和上下文,然后根据会话内容的性质自主决定最合适的文档结构。
不使用固定模板。以下是性质→格式的参考(不是规则,自行判断):
- 产品调研 → 可能适合:定位/功能/商业模式/竞品对比
- 技术方案 → 可能适合:问题/方案/取舍/实现细节
- Debug 记录 → 可能适合:现象/排查过程/根因/修复
- 对比分析 → 可能适合:表格为主,维度对比
- 读书/论文笔记 → 可能适合:核心论点/关键证据/个人思考
原则:内容决定形式,不是形式框住内容。只写有价值的,不凑章节。
Step 3:写入文件
- 用 Write 工具创建文件
- 如果目标文件已存在,Read 后用 Edit 追加/更新,不覆盖已有内容
- 写完告知用户文件路径
规则
- 默认存当前工作目录,不存
~/.claude/memory 系统 - 文档语言跟随会话语言(中文会话写中文,英文写英文)
- 代码块、URL、专有名词保持原文
- 不添加 emoji
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: ejjcc
- Source: ejjcc/agent-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
Reviews
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Versions
- v0.1.0 Imported from the upstream source.