GitHub AI Trends
v1.1.0Generate GitHub AI trending project reports as formatted text leaderboards. Fetches top-starred AI/ML/LLM repos by daily, weekly, or monthly period and renders a styled leaderboard. Use when the user asks for AI project trends, GitHub trending, AI leaderboard, or wants to see popular AI repos.
⭐ 8· 4.4k·66 current·68 all-time
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (GitHub AI trends) align with the included script and SKILL.md: the script queries the GitHub Search API for AI/LLM/ML keywords/topics and sorts by stars to build a leaderboard. No unrelated services, binaries, or config paths are requested.
Instruction Scope
SKILL.md instructs the agent to run the provided Python script and return stdout; the script only calls the GitHub API, formats results, and prints markdown/JSON. The instructions do not ask the agent to read arbitrary files, access unrelated env vars, or send data to endpoints other than api.github.com.
Install Mechanism
No install spec is present (instruction-only + single script). The Python script uses only the standard library (urllib, json, datetime), so nothing is downloaded or written to disk beyond running the script.
Credentials
No required environment variables; an optional GITHUB_TOKEN is supported for higher API rate limits, which is appropriate for GitHub API usage. The token is optional and only used in an Authorization header to api.github.com. No unrelated secrets are requested.
Persistence & Privilege
always is false and the skill does not request persistent installation or modify other skills or system-wide config. It does not write credentials or alter agent settings.
Assessment
This skill appears to do exactly what it says: run the included Python script which queries the GitHub Search API and prints a formatted leaderboard. Before installing or running: (1) be aware the script makes outbound HTTPS requests to api.github.com and will respect GitHub rate limits; supply a GITHUB_TOKEN only if you understand the token's scope (prefer a limited, read-only token). (2) Review the code yourself if you have concerns — the repository owner/homepage are unknown. (3) Running the script prints results to stdout/stderr; it does not write files or contact any third-party endpoints beyond GitHub. Overall this is internally consistent and proportionate.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.