machina-sports/sports-skills

0

/ 100

Documentation74
Engineering81
Health98
Python156MIT1d ago
Grade a repo

Good shape overall. A few tweaks would push it into the top tier.

Open-source agent skills for live sports data and prediction markets. Football, F1, Kalshi, Polymarket. Zero API keys. SKILL.md format.

Documentation

74

Contributing guide5pt25

Contributing guidance is in the README, not a dedicated CONTRIBUTING.md (−20 pts).

→ Moving it to a CONTRIBUTING.md makes it easier to find and keeps the README focused. A dedicated file earns +47 pts base.

README12pt70

README is present.

Install and run instructions9pt90

README documents how to install the project.

License6pt100

Licensed under MIT.

Engineering

81

Issue and PR templates6pt0

No issue or PR templates found (−100 pts).

→ Add .github/ISSUE_TEMPLATE/ with bug_report.md and feature_request.md to guide contributors. It dramatically improves issue quality.

Reproducibility6pt80

Lockfile present (uv.lock). Installs are reproducible.

CI/CD14pt85

CI is configured (.github/workflows/build-site.yml).

Tests18pt100

Test files detected (tests).

Linting and formatting5pt100

Linter or formatter configured ([tool.ruff] / [tool.black] in pyproject.toml).

Project health

98

Dependency manifest6pt93

Dependency manifest found (pyproject.toml).

Repository metadata5pt100

Repository has a description.

Activity5pt100

Actively maintained (pushed within the last month).

Housekeeping3pt100

.gitignore present.

Repository health signals

Activity, community, and responsiveness at scan time

Activity

  • —
    Commits (30d / 90d)
  • 18
    Forks
  • 62
    Releaseslatest 4mo ago

Community

  • —
    Community health
  • —
    authors own >50% of commits
  • 156
    Watchers

Responsiveness

  • 2h
    Median issue response
  • 3h
    Median PR merge time
  • 0
    Open issues
Repository files16 root entries
  • .github
    Good: CI is configured (.github/workflows/build-site.yml).
  • docs
  • reports
  • scripts
  • site
    Good: Environment pinned via site/Dockerfile.
  • skills
  • src
  • tests
    Good: Test files detected (tests).
  • .gitignore
    Good: .gitignore present.
  • CHANGELOG.md
  • CLAUDE.md
  • LICENSE
    Good: Licensed under MIT.
  • pyproject.toml
    Good: Dependency manifest found (pyproject.toml).
  • README_PYPI.md
    Good: README is present.
    Good: README is well structured with multiple sections.
    Issue: No screenshots or images in the README (−20 pts).Fix: Add a GIF, screenshot, or logo image. It is the fastest way to show what your project does.
    Good: README has code examples.
    Good: README links to a live demo or deployed app.
    Issue: No status badges in the README (−10 pts).Fix: Add CI/build status badges from shields.io or your CI provider to signal project health.
    Good: README documents how to install the project.
    Good: README documents how to run the project.
  • README.md
  • uv.lock
    Good: Lockfile present (uv.lock). Installs are reproducible.