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github-search

GitHub 仓库深度搜索与分析。支持按关键词、语言、stars、更新时间筛选,获取细分领域最新开源项目。专为技术调研设计。

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GitHub 仓库深度搜索与分析。支持按关键词、语言、stars、更新时间筛选,获取细分领域最新开源项目。专为技术调研设计。

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
README.md, scripts/github-search.mjs, scripts/repo-detail.mjs, SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 12 sections Open source page

GitHub Research 🐙

GitHub 仓库深度搜索与分析工具。专为技术细分领域调研设计,支持多维度筛选和详细数据分析。

功能特性

🔍 精准搜索 - 按关键词搜索特定领域的 GitHub 仓库 📊 多维度筛选 - Stars、语言、更新时间、Forks 📈 趋势分析 - 识别活跃项目和新兴趋势 🏷️ 标签分类 - 自动提取项目标签和主题 📋 结构化输出 - Markdown表格,易于整合到报告

基础搜索

# 搜索特定领域 node scripts/github-search.mjs "agent memory" # 指定编程语言 node scripts/github-search.mjs "rag" --language python # 更多结果 node scripts/github-search.mjs "llm" --limit 20

高级筛选

# 筛选高星项目(>1000 stars) node scripts/github-search.mjs "vector database" --min-stars 1000 # 最近更新的项目(30天内) node scripts/github-search.mjs "embedding" --updated-within 30 # 组合筛选 node scripts/github-search.mjs "multi-agent" \ --language python \ --min-stars 500 \ --updated-within 90 \ --limit 15

获取详细信息

# 获取单个仓库的详细信息 node scripts/repo-detail.mjs "microsoft/autogen" # 批量获取(从搜索结果) cat search-results.json | node scripts/batch-detail.mjs

搜索结果表格

  • ## 🔥 GitHub 热门项目: agent memory
  • | 排名 | 项目 | ⭐ Stars | 🍴 Forks | 💻 语言 | 📅 更新 | 🔗 链接 |
  • |-----|------|---------|---------|--------|--------|--------|
  • | 1 | microsoft/autogen | 32.5k | 4.8k | Python | 2天前 | [查看](https://github.com/microsoft/autogen) |
  • | 2 | langchain-ai/langchain | 89.2k | 14.1k | Python | 1天前 | [查看](https://github.com/langchain-ai/langchain) |
  • | 3 | ... | ... | ... | ... | ... | ... |
  • ### 📊 统计摘要
  • **总项目数**: 15
  • **平均 Stars**: 5,230
  • **主要语言**: Python (80%), TypeScript (13%), Go (7%)
  • **活跃度**: 73% 最近30天有更新

详细报告

  • ## 📋 项目详情: microsoft/autogen
  • **全称**: AutoGen
  • **描述**: A programming framework for building AI agents
  • **🏷️ 标签**: ai-agents, multi-agent, llm, python
  • **📈 数据统计**
  • Stars: 32,547 (+156 this week)
  • Forks: 4,823
  • Issues: 1,234 open
  • Pull Requests: 89 open
  • **💻 代码信息**
  • 主要语言: Python (98.2%)
  • 代码行数: ~150k
  • 许可证: MIT
  • **📅 活跃度**
  • 最后提交: 2天前
  • 提交频率: 日均 12 commits
  • 贡献者: 234人
  • **🔗 链接**
  • 仓库: https://github.com/microsoft/autogen
  • 文档: https://microsoft.github.io/autogen/
  • 示例: https://github.com/microsoft/autogen/tree/main/samples

参数说明

参数说明默认值示例query搜索关键词必填"agent memory"--language编程语言筛选无python, typescript, go--min-stars最小 stars 数1001000--max-stars最大 stars 数无限制50000--updated-within最近N天更新36530, 90--created-after创建日期之后无2024-01-01--sort排序方式starsstars, updated, forks--order排序顺序descasc, desc--limit返回结果数1020, 50--output输出格式tabletable, json, csv

在 Multi-Agent Research 中使用

# Intel Agent 调用 GitHub Research subagent_task = """ 你是情报分析师。使用 github-research skill 获取最新数据。 执行以下命令: ```bash node ~/.openclaw/workspace/skills/github-research/scripts/github-search.mjs \ "agent memory" \ --language python \ --min-stars 500 \ --updated-within 90 \ --limit 15 \ --output json > /tmp/gh_results.json 基于结果生成报告表格... """ ### 批量分析多个领域 ```bash #!/bin/bash TOPICS=("agent memory" "rag" "vector database" "llm orchestration") for topic in "${TOPICS[@]}"; do safe_topic=$(echo "$topic" | tr ' ' '-') node scripts/github-search.mjs "$topic" \ --min-stars 1000 \ --limit 15 \ --output json > "results/${safe_topic}.json" done

API 限制

未认证请求: 60次/小时 认证请求: 5000次/小时 建议: 对于大量查询,配置 GitHub Token

配置 GitHub Token(可选)

export GITHUB_TOKEN="ghp_your_token_here"

数据来源

GitHub Search API v3 GitHub REST API 官方 GitHub 网站(备用) 专为技术细分领域调研设计 | GitHub Research v1.0

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Docs2 Scripts
  • SKILL.md Primary doc
  • README.md Docs
  • scripts/github-search.mjs Scripts
  • scripts/repo-detail.mjs Scripts