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GitHub 项目分析助手
by
antonia huang
· GitHub ↗
· v1.0.0
· MIT-0
1194
Downloads
1
Stars
11
Active Installs
1
Versions
Install in OpenClaw
/install github-analyzer
Description
输入项目想法或 GitHub 链接，自动搜索相关开源项目，生成结构化分析报告（技术栈/优缺点/评分）， 并可下载评分最高的前3名代码包。支持意图搜索和直链分析两种模式。
README (SKILL.md)
GitHub 项目分析助手 🔍
你能做什么
模式一：意图搜索
"我想做一个 XXX 项目，帮我找找 GitHub 上有没有相关开源项目"
模式二：直链分析
"帮我分析这几个项目：https://github.com/xxx/yyy https://github.com/aaa/bbb"
模式三：对比分析
"帮我对比这几个项目，哪个更适合我的需求"
工作流程
模式一：意图搜索模式
- 解析用户描述，提取 2-4 个核心关键词
- 调用 GitHub Search API 搜索相关仓库（按 stars 降序，取 Top 10）
- 过滤：排除 fork、归档、1年内未更新、stars \x3C 50 的项目
- 对每个项目调用 GitHub API 获取详情
- AI 分析生成报告
- 询问是否需要下载代码包
模式二：直链分析模式
- 提取 URL 中的 owner/repo
- 调用 GitHub API 获取仓库详情、README、语言统计
- AI 分析生成报告
- 询问是否需要下载代码包
报告格式
每个项目输出：
## [项目名](链接)
> 一句话描述
| 维度 | 详情 |
|------|------|
| ⭐ Stars | 12,345 |
| 🍴 Forks | 1,234 |
| 🔤 语言 | Python / TypeScript |
| 📅 最近更新 | 2024-01-15 |
| 📜 License | MIT |
### 核心功能
- 功能点1
- 功能点2
- 功能点3
### 优点 ✅
- ...
### 缺点 / 注意事项 ⚠️
- ...
### 适用场景
...
### 综合评分：8.5 / 10
评分依据：活跃度高（★★★★）、文档完善（★★★★）、社区活跃（★★★）、上手难度低（★★★★）
多个项目后附对比表格：
| 项目 | Stars | 语言 | 活跃度 | 文档 | 上手难度 | 综合分 |
|------|-------|------|--------|------|---------|--------|
下载功能
分析完成后询问用户是否下载：
- "需要下载评分最高的前3名代码包吗？"
- 用户确认后，执行
python3 SKILL_DIR/scripts/download_repos.py \x3Crepo1> \x3Crepo2> \x3Crepo3> - 下载到
~/Downloads/github-analyzer/目录 - 打包为 zip，告知文件路径
工具调用
# 搜索 GitHub
exec: python3 SKILL_DIR/scripts/search_github.py "\x3Cquery>" [--limit 10]
# 分析单个仓库
exec: python3 SKILL_DIR/scripts/analyze_repo.py "\x3Cowner/repo>"
# 批量下载
exec: python3 SKILL_DIR/scripts/download_repos.py "\x3Cowner/repo1>" "\x3Cowner/repo2>" ...
注意事项
- GitHub API 未认证时限速 60次/小时，认证后 5000次/小时
- 如有
GITHUB_TOKEN环境变量则自动使用 - README 超长时只取前 3000 字符分析
- 项目极少时（\x3C3个）告知用户并说明可能原因
Usage Guidance
The skill appears to do what it says (search GitHub, analyze repos, download zips). Before installing: 1) Note the developer/source is unknown and there's no homepage — consider trusting the author. 2) The scripts will use GITHUB_TOKEN if present but the skill metadata doesn't declare it — if you provide a token, prefer one with minimal scopes (a public read-only token is enough); do not expose a token with broad privileges. 3) Downloads are saved to ~/Downloads/github-analyzer/ and will store arbitrary repository code; consider running the downloads in an isolated environment if you are concerned. 4) Ask the publisher to add GITHUB_TOKEN to the skill metadata (requires.env) or explicitly document its use to remove the inconsistency. Overall the skill is coherent but this undisclosed env-var use is a noteworthy mismatch.
Capability Analysis
Type: OpenClaw Skill
Name: github-analyzer
Version: 1.0.0
The github-analyzer skill bundle is a legitimate tool for searching and analyzing GitHub repositories. It uses Python's standard library to interact with the GitHub API and provides functionality to download repository ZIP files to a designated local directory (~/Downloads/github-analyzer), as explicitly stated in SKILL.md and README.md. No evidence of malicious intent, data exfiltration, or unauthorized command execution was found in the scripts (analyze_repo.py, download_repos.py, search_github.py).
Capability Assessment
Purpose & Capability
Name/description align with included scripts (search_github.py, analyze_repo.py, download_repos.py). All required functionality (search, analyze, download) is implemented and there are no unrelated binaries or unexpected services referenced.
Instruction Scope
SKILL.md instructions are narrowly scoped to calling the included Python scripts which use the GitHub API and optionally download repository zip files to ~/Downloads/github-analyzer/. The agent will run network calls to api.github.com and github.com and will write files to the user's Downloads directory — behavior that matches the stated feature set.
Install Mechanism
No install spec; this is instruction-plus-scripts only. The included Python code uses only the standard library (urllib, json, etc.), so there is no additional install/download step that would pull arbitrary third-party code.
Credentials
SKILL.md and the scripts optionally use a GITHUB_TOKEN from the environment to increase rate limits, but the skill metadata declares no required environment variables. The runtime code reads GITHUB_TOKEN (and sends an Authorization header even when empty), which is an undeclared credential access and should be declared explicitly. The skill also creates/writes files under ~/Downloads/github-analyzer/, which is consistent with its purpose but is a filesystem write that users should be aware of.
Persistence & Privilege
The skill is not always-enabled, does not request system-wide configuration changes, and does not modify other skills. It runs on-demand and writes only to its own download directory.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install github-analyzer - After installation, invoke the skill by name or use
/github-analyzer - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
初版发布
Metadata
Frequently Asked Questions
What is GitHub 项目分析助手?
输入项目想法或 GitHub 链接，自动搜索相关开源项目，生成结构化分析报告（技术栈/优缺点/评分）， 并可下载评分最高的前3名代码包。支持意图搜索和直链分析两种模式。 It is an AI Agent Skill for Claude Code / OpenClaw, with 1194 downloads so far.
How do I install GitHub 项目分析助手?
Run "/install github-analyzer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is GitHub 项目分析助手 free?
Yes, GitHub 项目分析助手 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does GitHub 项目分析助手 support?
GitHub 项目分析助手 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created GitHub 项目分析助手?
It is built and maintained by antonia huang (@antonia-sz); the current version is v1.0.0.
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