GitHub trending agent
Pull type GitHub. For each of the top two repos, if the name is an npm package run source npm; if it is a PyPI project run source python. Stars-over-time is not a call. A trending repo with dead installs is a viral readme. Rising installs is a library people add.
type GitHub, all languages. Do not invent a language type.
react the repo versus react the package: the second call is source npm, keyword react, only if that is the registry name.
No PAT step.
The loop
Watch GitHub trending. For the top two repos, if the name is a package, pull 12-month npm or python growth. Viral readme vs installed library.
1. get_top_trends(type="GitHub", limit=10) 2. If npm name: get_growth(keyword=<name>, source="npm", percent_growth=["3M","12M"]) 3. If PyPI name: get_growth(keyword=<name>, source="python", percent_growth=["3M","12M"]) 4. Answer. Viral readme vs installed library.
Run it
Sign up
Claude
Cursor
Free. No card. Then ask this loop.
Questions
Star history?
Not a step.
Language type?
None. type GitHub.
Always npm?
Only when the registry name matches. Else python, or stop.
How do I run this?
Sign up. Free, no card. Then ask Claude, Cursor, or ChatGPT to run the loop on this page.
Other agents
IMDb MOVIEmeter agent Open Library trending books agent Most visited websites agent