/install github-rising-stars
GitHub Rising Stars
Discovers fast-growing GitHub repositories that haven't made the official Trending page yet, by querying the GitHub Search API across multiple dimensions and ranking by stars per day.
Quick Start
Run the bundled script directly:
python3 scripts/find_rising.py
Default: repos created in the last 3 days, min 20 stars, top 15 results.
Script Options
python3 scripts/find_rising.py [options]
--days N Look-back window in days (default: 3, range: 1-7)
--min-stars N Minimum star count threshold (default: 20)
--top N Number of results to return (default: 15)
--lang LANG Filter by programming language (e.g. Python, TypeScript, Go)
--json Output machine-readable JSON
Examples
# Find Python repos rising fast in the last 5 days
python3 scripts/find_rising.py --days 5 --lang Python
# Find top 20 repos with at least 50 stars
python3 scripts/find_rising.py --min-stars 50 --top 20
# JSON output for further processing
python3 scripts/find_rising.py --json
How It Works
- Multi-query search — runs 3 GitHub API queries with overlapping time/star ranges to maximize coverage
- Deduplication — merges results by repo ID
- Spam filtering — removes known low-quality signals (crypto bots, game hacks, follower farms, etc.)
- Rate calculation — computes
stars / age_in_daysfor each repo - Ranked output — sorts by rate descending, shows top N
Interpreting Results
- Rate > 200/day: Viral — likely hits Trending within 24h
- Rate 50–200/day: Fast-rising — worth watching
- Rate \x3C 50/day: Early signal — may accelerate
Repos with no description or no language tag may be spam or private mirrors — apply extra scrutiny.
Agent Workflow
When a user asks to find rising repos:
- Run
python3 scripts/find_rising.pywith appropriate flags - Present results in a clean table, grouped by theme/category if patterns emerge
- Highlight repos worth deeper investigation (high rate + meaningful description + known author)
- Optionally open top repos in browser for quick review
Limitations
- GitHub Search API is unauthenticated by default — rate limit: 10 requests/min. Add a
Authorization: token \x3CPAT>header in the script for higher limits. - Results reflect repos created recently; established repos that suddenly spike are not captured (use
pushedfilter variant for that). - Stars can be artificially inflated; cross-reference with Hacker News / Reddit for validation.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install github-rising-stars - 安装完成后,直接呼叫该 Skill 的名称或使用
/github-rising-stars触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Github Rising Stars 是什么?
Discover fast-growing GitHub repositories before they appear on the official Trending page. Use when users ask to find emerging/rising GitHub projects, spot... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 149 次。
如何安装 Github Rising Stars?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install github-rising-stars」即可一键安装,无需额外配置。
Github Rising Stars 是免费的吗?
是的,Github Rising Stars 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Github Rising Stars 支持哪些平台?
Github Rising Stars 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Github Rising Stars?
由 humor200(@humor200)开发并维护,当前版本 v1.0.0。