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Github Trending

  • 796 installs
  • 253 repo stars
  • Updated August 4, 2026
  • majiayu000/claude-arsenal

github-trending is a Claude Code skill that pulls structured GitHub trending data, applies quality filters, and extracts genuine project angles for developers who need signal beyond hype repository lists.

About

github-trending is a Claude Code skill from majiayu000/claude-arsenal that treats GitHub Trending as a hype barometer, not a quality ranking. The bundled scripts/fetch_trending.py outputs clean JSON parsed from GitHub HTML article.Box-row elements, supporting since, language, spoken, and developers filters. Developers reach for github-trending when researching rising repos, writing analysis posts, or evaluating whether a trending project shows real adoption versus AI slop. Optional enrichment uses GitHub Search API and star-history.com growth curves. The skill forbids feeding raw HTML to the LLM—always run the script first.

  • Fetches clean JSON via scripts/fetch_trending.py with support for since, language, spoken, and developers filters
  • Distinguishes hype from real traction using stars_today, fork ratios, maintainer history, and dependency counts
  • Provides 9 core evaluation dimensions including README clarity, CI presence, issue response, and benchmark quality
  • Includes self-hosted API alternatives and secondary enrichment from star-history.com, ossinsight.io, and GitHub Search A
  • Hard-gate: always convert raw data into a unique angle before any product decision

Github Trending by the numbers

  • 796 all-time installs (skills.sh)
  • +1 installs in the week ending Jul 26, 2026 (Skillselion tracking)
  • Ranked #576 of 3,282 Productivity & Planning skills by installs in the Skillselion catalog
  • Security screen: MEDIUM risk (skills.sh audit)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/majiayu000/claude-arsenal --skill github-trending

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Listed on Skillselion
Installs796
repo stars253
Security audit2 / 3 scanners passed
Last updatedAugust 4, 2026
Repositorymajiayu000/claude-arsenal

How do you analyze GitHub trending repos with filters?

Pull structured GitHub trending data, apply quality filters, and extract genuine angles instead of copying hype lists.

Who is it for?

Developers researching trending open-source projects who want script-backed data and quality filtering instead of reposting hype lists.

Skip if: Teams needing deep dependency or security analysis of a single repo rather than trending discovery across GitHub.

When should I use this skill?

The developer asks about GitHub trending repos, wants trending data by language or timeframe, or needs filtered analysis of rising projects.

What you get

Structured trending JSON, filtered repo shortlist, and angle-focused analysis notes.

  • Trending JSON dataset
  • Filtered repo analysis
  • Angle-focused summary

Files

SKILL.mdMarkdownGitHub ↗

GitHub Trending 探索

2026 版核心认知:GitHub Trending 已是严重被 hype 和 AI slop 污染的榜单(Karpathy 等反复确认)。本 skill 的唯一价值是「结构化数据 + 严格过滤 + 写出真实 angle」,而不是再输出一份 list。

职责边界(严格遵守):

  • 只负责发现 + 趋势分析 + 日报/洞察报告
  • 不负责把结果加工成公众号/小红书/X 帖(用 /scout-to-article/blog-write
  • 不负责多 AI 深度竞品/社区反应调研(用 /multi-ai-research

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何时触发(推荐触发词)

  • 探索今日/本周热门
  • “Rust / Python / Go 最近有什么好项目”
  • “AI / Agent / LLM 领域现在 trending 什么”
  • “帮我看看 GitHub trending,有没有类似 X 的项目”
  • “最近什么技术在快速增长,值得关注”
  • “做个 GitHub trending 日报 / 周报”
  • 想过滤 hype、要真实增长信号时

不适合:纯快速事实查询(直接让 Claude 回答即可)。

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完整工作流(必须按顺序,不要跳步)

1. 拿干净数据(优先用脚本)

   # 在 skill 目录执行;如果 skill 已安装到 ~/.claude/skills,也可以换成对应安装路径
   cd /path/to/spellbook/skills/github-trending

   # 今日总榜 TOP 8
   python3 scripts/fetch_trending.py --since daily --limit 8

   # Rust 周榜
   python3 scripts/fetch_trending.py --since weekly --language Rust --limit 6

   # 开发者榜
   python3 scripts/fetch_trending.py --developers --since daily --limit 10

脚本输出结构化 JSON,绝不直接 WebFetch 原始 HTML

2. 筛 TOP N + 过滤 hype

  • 默认 5-8 个
  • 优先选 stars_today 有真实增量 + forks 跟上 + 不是纯 awesome-list
  • 参考 reference/extended.md 中的「Hype 红旗」快速排除

3. 必要时轻度 enrich

  • 只对最终入榜的 2-3 个项目,必要时再用 WebFetch 看 README 头部或 Releases
  • 不要一上来就读全量 README

4. 套模板 + 必写 Angle

  • 用参考模板组织
  • 最后必须有独立一段「今日观察 / Angle」,这是产出价值所在

5. 输出 + 归档(可选)

  • 普通用户:直接给 Markdown 日报
  • 想后续发文:把 JSON + angle 结构喂给下游 skill

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脚本安装与依赖

首次使用执行:

python3 -m pip install -r requirements.txt

如果没有 requirements.txt,手动安装:

python3 -m pip install requests beautifulsoup4 lxml

脚本位置:scripts/fetch_trending.py(相对本 skill 目录)。

支持参数见脚本 --help。所有错误都会以清晰 JSON 返回,绝不静默失败。

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输出硬性要求

日报结尾必须包含「Angle」段,否则视为不合格输出。

好 Angle 特征:

  • 指出 1-2 个跨项目模式(技术演进、社区偏好、 hype 信号)
  • 给出可行动建议(“这个方向值得跟进,但优先看 fork 增长”)
  • 基于今日真实数据,不复述旧知识

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进阶场景

  • 领域深度报告:先用脚本按 language 拉月榜,再结合 reference/extended.md 里的评估框架写对比表。
  • 长期跟踪:用 /loop 技能每天定时跑脚本 + 分析,输出到固定目录。
  • 想知道社区真实反应:对重点项目再调用 /multi-ai-research
  • 想发内容:把结构化结果 + angle 交给 scout-to-article

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Extended Reference

所有详细框架(数据源、评估维度、hype 识别、趋势分类、好/坏 Angle 示例、scraper 维护提示、2026 社区共识)已移至 `reference/extended.md`

日常触发时不需要读它。只有你要定制模板、维护脚本、或做高精度分析时再加载。

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更新记录:2026-05 完整重构(引入可靠 scraper 层 + 严格 pipeline + 拆分 reference + 移除所有硬编码日期/旧趋势列表)。数据永远以脚本实时输出为准。

Related skills

How it compares

Pick github-trending over manual browsing when you need structured JSON, filters, and analysis angles from GitHub Trending.

FAQ

How does github-trending fetch trending data?

github-trending uses scripts/fetch_trending.py to parse GitHub Trending HTML into clean JSON. The script supports since, language, spoken, and developers parameters and avoids sending raw HTML to the LLM.

Why does github-trending filter trending results?

github-trending filters results because GitHub Trending reflects hype, not quality, with AI-generated slop common on the page. The skill applies quality filters and writes genuine project angles instead of copying repository lists.

Is Github Trending safe to install?

skills.sh reports 2 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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