mrkpatchaa/github-star-classifier-jev
User repository on GitHub
Classify your GitHub stars into GitHub Lists with TypeSafe Jev, and review stars worth dropping
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- 0
- Last pushed
- Updated Oct 2026
Repo stats from the GitHub API, cached Oct 2026.
Jev directory
CommunityJev Tools & CLIs
GitHub Star Classifier with Jev
A Python tool that classifies your starred GitHub repositories with TypeSafe Jev and organizes them into GitHub Lists through gh api graphql — dry-run by default, confidence threshold 0.50, apply only when you pass --apply.
- Stars
- 1
- Language
- Python
- Reading time
- 2 min
- Published by
- Community
- Author
- mrkpatchaa
- Last verified
- Oct 2026
Highlights
- Dry-run is the default; nothing is created or changed on GitHub until you pass --apply.
- Normal runs skip stars already in the taxonomy; --reclassify re-judges them, replacing only its managed list memberships.
- Results below the confidence threshold (0.50 by default, set with --threshold) are reported and left untouched.
- --compare PROVIDER:MODEL logs a frontier model's answers via TypeSafe's system-one-adapter; Jev still decides, and a summary reports agreement.
- --private-lists creates any missing managed GitHub Lists as private; --limit and --repo keep test runs small.
Quickstart
bash
uv sync
export TYPESAFE_API_KEY="..."
uv run python src/main.py --limit 20
uv run python src/main.py --threshold 0.65 --applyWatch out
Copy reviewed against the truncated repo README on 2026-10-15; the excerpt cuts off inside the taxonomy section and GitHub metadata lists no licence. The included taxonomy was built from one ~800-star collection (web frontend, React Native, PHP and AI coding agents) and the README says to customize it before running it on your own stars.
Questions about this entry
Short answers drawn from the linked project or page.
It classifies your starred GitHub repositories with TypeSafe Jev and files them into GitHub Lists using gh api graphql. Before running it, customize the taxonomy: the included lists were built from one specific star collection and probably will not fit yours.
Dry-run is the default — nothing is created or changed without --apply. Start with uv run python src/main.py --limit 20 or target one repository with --repo owner/repository, inspect the output, then apply.
Python 3.13+, an authenticated GitHub CLI (gh), a TypeSafe API key in TYPESAFE_API_KEY, and uv or another package manager. If list mutations report insufficient authorization, the README suggests gh auth refresh -s user.
Jev's classification answers are compared against a threshold that defaults to 0.50 and can be set with --threshold. Results below it are reported and left untouched, so low-confidence stars stay where they are.
--compare PROVIDER:MODEL asks an LLM the same two questions through TypeSafe's system-one-adapter and prints its answer under Jev's. Jev still decides; the model's answers are only logged, and the summary reports same category, same category+action and same drop decision rates.
Yes: --reclassify re-judges stars that already belong to one of the taxonomy lists. It replaces only memberships in those managed lists; memberships in unrelated or manual GitHub Lists are preserved. Preview first, then add --apply.
The taxonomy is not universal — it was built from one ~800-star collection and the README tells you to reshape it before your first run. The README excerpt truncates in the taxonomy section, and GitHub metadata lists no licence for the project.
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