Find fast-growing GitHub repositories related to Codex skills and plugins.
The radar discovers candidate repositories with GitHub repository search, then
counts starred_at events from the stargazers API for a recent window. This
means it can produce a 7-day ranking without waiting for a local baseline
snapshot to accumulate.
- Latest release: v0.1.2
- CI: Python 3.10, 3.11, and 3.12 on GitHub Actions.
- Maintenance surface: issue templates, pull request template, security policy, contribution guide, and code of conduct.
- Latest generated report: reports/latest.md
- Methodology notes: docs/methodology.md
- Repositories that mention Codex skills, Codex plugins,
SKILL.md, or.codex-plugin. - Cross-agent skill/plugin libraries when they explicitly mention Codex compatibility.
- Recent star velocity, total stars, and a transparent relevance score.
python3 -m venv .venv
. .venv/bin/activate
pip install -e .
export GITHUB_TOKEN="$(gh auth token)" # optional, but strongly recommended
codex-skill-radar scan \
--days 7 \
--limit 10 \
--per-query 5 \
--max-candidates 10 \
--max-star-pages 2 \
--report reports/latest.md \
--snapshot data/snapshots/latest.jsonFor a slower but more complete scan, raise --max-candidates and
--max-star-pages.
You can also run it without installing:
PYTHONPATH=src python -m codex_skill_radar.cli scan --days 7 --limit 10reports/latest.mdis a readable Top 10 report.data/snapshots/latest.jsonkeeps the raw ranked results and considered candidates.
- Search GitHub repositories with targeted queries such as
"codex skill","codex plugin","SKILL.md" codex, and".codex-plugin". - Deduplicate repositories across search queries.
- Score relevance from repository name, description, topics, language, and matched search queries.
- Count recent stargazer events through GitHub's stargazers API.
- Sort by stars in the window, relevance score, and total stars.
- GitHub does not provide an official "fastest-growing Codex skill" category.
- Repository search can include broad agent-skill projects that support many tools, not only Codex.
- Star velocity is a signal for attention, not code quality or safety.
- Very large repositories may require more API calls to inspect their recent
stargazer pages. Use
--max-star-pagesto trade off speed and completeness.
python -m unittest discover -s tests
PYTHONPATH=src python -m codex_skill_radar.cli scan --help- Add allow/deny lists for manually curated sources.
- Add CSV export.
- Add GitHub issue reporting for weekly snapshots.
- Add optional safety metadata checks for detected skill/plugin repos.