Registry indexed
抓取 GitHub 上 star 涨得最快的项目(Trending 榜),打分标注是否与研究方向相关, 生成 Obsidian 笔记到 GitHubTrending 文件夹。默认周榜。 触发词:"GitHub 周榜"、"star 涨得最快"、"过去一周 GitHub 热门"、"GitHub trending"、 "看看这周 GitHub 上火了什么"、"GitHub 日榜"、"GitHub 月榜"
抓取 GitHub 上 star 涨得最快的项目(Trending 榜),打分标注是否与研究方向相关, 生成 Obsidian 笔记到 GitHubTrending 文件夹。默认周榜。 触发词:"GitHub 周榜"、"star 涨得最快"、"过去一周 GitHub 热门"、"GitHub trending"、 "看看这周 GitHub 上火了什么"、"GitHub 日榜"、"GitHub 月榜"
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开始前: 先说一声 "开始抓 GitHub 榜单 🐙" 并告知今天日期与抓取周期(默认周榜)。
抓取 GitHub Trending → 用关键词打分标注 → 写成 Obsidian 笔记。纯 Python 脚本,零 token。
配置在 ../_shared/user-config.json,个人覆盖在 ../_shared/user-config.local.json(存在则以 local 为准)。
脚本内部已通过 ../_shared/user_config.py 自动加载,无需手动传参。相关字段:
paths.obsidian_vault — vault 根路径paths.github_trending_folder — 输出文件夹(默认 GitHubTrending)daily_papers.keywords / negative_keywords / domain_boost_keywords — 复用它们给项目打分、标注相关性从用户输入解析 --since:
--since weekly(默认)--since daily--since monthly可选 --language(如 "只看 Python" → --language python),不指定则抓全部语言。
python3 fetch_trending.py --since weekly > /tmp/github_trending.json
# 指定语言示例:
# python3 fetch_trending.py --since weekly --language python > /tmp/github_trending.json
脚本自动完成:
github.com/trending?since=<周期>(兼容 SSL 拦截环境,自动退回不验证证书)relevant(命中正向/领域词且未被负向词压过),不丢弃非相关项检查输出:确认 /tmp/github_trending.json 是非空 JSON 数组。为空则看 stderr 诊断。
python3 write_trending_note.py /tmp/github_trending.json
{vault}/{github_trending_folder}/2026-W28 GitHub周榜.md;日/月榜用日期完成后告知用户:
name: github-trending description: | 抓取 GitHub 上 star 涨得最快的项目(Trending 榜),打分标注是否与研究方向相关, 生成 Obsidian 笔记到 GitHubTrending 文件夹。默认周榜。 触发词:"GitHub 周榜"、"star 涨得最快"、"过去一周 GitHub 热门"、"GitHub trending"、 "看看这周 GitHub 上火了什么"、"GitHub 日榜"、"GitHub 月榜"
---
name: github-trending
description: |
抓取 GitHub 上 star 涨得最快的项目(Trending 榜),打分标注是否与研究方向相关,
生成 Obsidian 笔记到 GitHubTrending 文件夹。默认周榜。
触发词:"GitHub 周榜"、"star 涨得最快"、"过去一周 GitHub 热门"、"GitHub trending"、
"看看这周 GitHub 上火了什么"、"GitHub 日榜"、"GitHub 月榜"
---
> **开始前**: 先说一声 "开始抓 GitHub 榜单 🐙" 并告知今天日期与抓取周期(默认周榜)。
# GitHub Trending 抓取
抓取 GitHub Trending → 用关键词打分标注 → 写成 Obsidian 笔记。纯 Python 脚本,零 token。
## Step 0: 读取共享配置
配置在 `../_shared/user-config.json`,个人覆盖在 `../_shared/user-config.local.json`(存在则以 local 为准)。
脚本内部已通过 `../_shared/user_config.py` 自动加载,无需手动传参。相关字段:
- `paths.obsidian_vault` — vault 根路径
- `paths.github_trending_folder` — 输出文件夹(默认 `GitHubTrending`)
- `daily_papers.keywords / negative_keywords / domain_boost_keywords` — 复用它们给项目打分、标注相关性
## 解析周期与语言
从用户输入解析 `--since`:
- "周榜"、"过去一周"、"这周"、"本周" → `--since weekly`(默认)
- "日榜"、"今天"、"今日" → `--since daily`
- "月榜"、"这个月"、"本月" → `--since monthly`
可选 `--language`(如 "只看 Python" → `--language python`),不指定则抓全部语言。
## 工作流程
### Phase 1: 抓取 + 打分(fetch_trending.py)
```bash
python3 fetch_trending.py --since weekly > /tmp/github_trending.json
# 指定语言示例:
# python3 fetch_trending.py --since weekly --language python > /tmp/github_trending.json
```
脚本自动完成:
- 抓取 `github.com/trending?since=<周期>`(兼容 SSL 拦截环境,自动退回不验证证书)
- regex 解析:repo、简介、语言、累计 star/fork、本周期新增 star
- 用共享配置关键词打分,标注 `relevant`(命中正向/领域词且未被负向词压过),**不丢弃非相关项**
- 按本周期新增 star 降序排序
**检查输出**:确认 `/tmp/github_trending.json` 是非空 JSON 数组。为空则看 stderr 诊断。
### Phase 2: 写 Obsidian 笔记(write_trending_note.py)
```bash
python3 write_trending_note.py /tmp/github_trending.json
```
- 输出到 `{vault}/{github_trending_folder}/`
- 周榜文件名按 ISO 周编号,如 `2026-W28 GitHub周榜.md`;日/月榜用日期
- 笔记结构:摘要 → 「🎯 与研究方向相关」列表 → 「📊 完整榜单」表格(含 ✅ 相关标记)
- 脚本把最终笔记路径打到 stdout
## 输出
完成后告知用户:
- 抓取了多少个项目、其中多少个与研究方向相关
- 生成的笔记路径
## 注意事项
- 两个脚本都不启动 Task Agent,零 token 消耗
- **不做 git 操作**(与 daily-papers 一致,git 自动化默认关闭)
- 网络不通时参考全局 CLAUDE.md 的代理规则(17890 端口);脚本已内置 SSL 兜底
- GitHub Trending 只有 daily/weekly/monthly 三档,无法自定义任意天数
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: Apache-2.0
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
78/100
Strong
Trust
60/100
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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