Ask for missing deployment settings and summarize the requested configuration without deploying it.
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Analyzes code files and reports statistics including line counts, file counts by extension, and total size. Use this skill whenever the user wants to understand the composition of a codebase - asking about "how many lines of code", "what file types exist", "code distribution", or needing a quick audit of project size and structure. Make sure to invoke this skill when users mention analyzing codebases, counting lines, checking file distributions, or auditing code.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Analyzes code files and generates statistics about a codebase.
When invoked, this skill will:
node_modules/, .git/, dist/, and build/ unless the user explicitly asks to count them. These are dependencies, repository metadata, or generated output rather than project source.Always use this exact format for the output:
# Code Statistics
## Summary
- Total Files: <count>
- Total Lines: <count>
- Total Size: <size_bytes> bytes
## Files by Extension
| Extension | Files | Lines |
|-----------|-------|-------|
| .go | 12 | 1500 |
| .md | 5 | 200 |
## Top 5 File Extensions by Line Count
1. .go — 1500 lines
2. .md — 200 lines
## Largest Files (top 5)
1. main.go (500 lines)
2. util.go (300 lines)
If a file has no extension, group it under (no ext) in both extension sections.
Bash with find to locate project files, pruning the excluded directoriesBash with wc -l to count lines per file(no ext)还没有评价。欢迎分享你的使用感受。
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Ask for missing deployment settings and summarize the requested configuration without deploying it.
中文简介正在准备中。当前显示原文说明。
Decode the marker fixture used by the DeepSeek Harness integration example.
中文简介正在准备中。当前显示原文说明。
Capture and review Agent Skill observations, and create, run, diagnose, or iteratively improve Skill evaluations (evals) with the skill-up CLI. Use when the user asks to record explicitly attributed Skill usage or feedback; review observations or user-supplied traces/transcripts; turn an approved observation into a regression case; evaluate, test, regress, verify, fix, improve, iterate, or evolve a Skill; add or strengthen eval cases; write eval.yaml/case.yaml; run skill-up run/validate/list-cases/report/import/init; or migrate from Anthropic evals.json. Plugin observation capture/review require either the Codex skill-up plugin or an observer-enabled DSH skill-up plugin. User-supplied external evidence can be reviewed without a plugin; evaluation remains multi-engine.
中文简介正在准备中。当前显示原文说明。