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Install in OpenClaw
/install github-rising-stars
Description
Discover fast-growing GitHub repositories before they appear on the official Trending page. Use when users ask to find emerging/rising GitHub projects, spot...
README (SKILL.md)
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.
Usage Guidance
This skill appears coherent and limited to its stated task. Before installing/running: (1) review the included script (already small and readable) and run it in a safe environment; (2) be aware it performs network calls to api.github.com (expected) and is subject to GitHub API rate limits — SKILL.md suggests using a Personal Access Token for higher limits but the script does not read a token from the environment, so supplying a PAT would require modifying the script or your runtime headers; if you do add a PAT, create a token with minimal scopes and store it securely; (3) results may include spammy/automated repos despite filters — manually vet high‑rate entries before acting; (4) if you plan to let an autonomous agent run this skill, note it will make outbound requests to GitHub on invocation (normal for this purpose). Overall, nothing in the package requests unrelated credentials or hidden network endpoints.
Capability Analysis
Type: OpenClaw Skill
Name: github-rising-stars
Version: 1.0.0
The skill bundle is a legitimate tool for discovering fast-growing GitHub repositories using the official GitHub Search API. The Python script (scripts/find_rising.py) uses standard libraries, includes a built-in spam filter to remove low-quality results, and contains no evidence of data exfiltration, malicious execution, or prompt injection.
Capability Assessment
Purpose & Capability
Name/description, SKILL.md and the included Python script align: the script queries the GitHub Search API, filters/deduplicates, computes stars/day, and ranks repos. No unrelated binaries, hosts, or credentials are requested.
Instruction Scope
SKILL.md instructs the agent to run the bundled script and present results. It also mentions optionally adding an Authorization header for a PAT to raise rate limits; the distributed script, however, does not read environment variables for a token (so adding a PAT would require editing the script or providing it some other way). Apart from that, instructions stay within the stated purpose and do not ask the agent to read arbitrary local files or transmit unrelated data.
Install Mechanism
No install spec and only a small Python script are provided. Nothing is downloaded from external URLs or written to disk by an installer — lowest-risk install model for a skill with a local script.
Credentials
The skill declares no required env vars or credentials and the script runs unauthenticated against api.github.com (as documented). SKILL.md mentions that adding a PAT would increase rate limits, but the script doesn't automatically consume any token from the environment — so no secret access is requested by default.
Persistence & Privilege
always is false and the skill doesn't request persistent system-wide configuration or modify other skills. Autonomous invocation is allowed (platform default) but not combined with elevated privileges or secret access.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install github-rising-stars - After installation, invoke the skill by name or use
/github-rising-stars - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of github-rising-stars skill.
- Enables discovery of fast-growing GitHub repositories before they reach the Trending page.
- Allows filtering by days since creation, minimum star count, number of results, and language.
- Ranks new repositories by stars per day and filters out known spam or low-quality projects.
- Provides clear usage instructions, script options, and guidance on interpreting results.
Metadata
Frequently Asked Questions
What is Github Rising Stars?
Discover fast-growing GitHub repositories before they appear on the official Trending page. Use when users ask to find emerging/rising GitHub projects, spot... It is an AI Agent Skill for Claude Code / OpenClaw, with 149 downloads so far.
How do I install Github Rising Stars?
Run "/install github-rising-stars" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Github Rising Stars free?
Yes, Github Rising Stars is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Github Rising Stars support?
Github Rising Stars is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Github Rising Stars?
It is built and maintained by humor200 (@humor200); the current version is v1.0.0.
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