primeintellect-ai/prime-rl

0

/ 100

Documentation85
Engineering80
Health96
Python1,510Apache-2.01d ago
Grade a repo

A well-known project done right. Strong docs and solid engineering throughout.

Agentic RL Training at Scale

Documentation

85

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.

Install and run instructions9pt90

README documents how to install the project.

README12pt100

README is present.

License6pt100

Licensed under Apache-2.0.

Engineering

80

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.

Reproducibility6pt70

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

CI/CD14pt85

CI is configured (.github/workflows/build_image.yaml).

Tests18pt100

Test files detected (tests).

Linting and formatting5pt100

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

Project health

96

Dependency manifest6pt86

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)
  • 316
    Forks
  • 6
    Releaseslatest 1d ago

Community

  • —
    Community health
  • —
    authors own >50% of commits
  • 1,510
    Watchers

Responsiveness

  • 8d 18h
    Median issue response
  • 2h
    Median PR merge time
  • 152
    Open issues
Repository files26 root entries
  • .claude
  • .cursor
  • .github
    Good: CI is configured (.github/workflows/build_image.yaml).
  • benchmarks
  • configs
  • deps
  • docs
  • examples
  • k8s
  • packages
  • scripts
  • skills
  • src
  • tests
    Good: Test files detected (tests).
  • .gitignore
    Good: .gitignore present.
  • .gitmodules
  • .pre-commit-config.yaml
  • AGENTS.md
  • CHANGELOG.md
  • CITATION.cff
  • CLAUDE.md
  • Dockerfile.cuda
  • LICENSE
    Good: Licensed under Apache-2.0.
  • pyproject.toml
    Good: Dependency manifest found (pyproject.toml).
  • README.md
    Good: README is present.
    Good: README is well structured with multiple sections.
    Good: README includes screenshots or visuals. Great for first impressions.
    Good: README has code examples.
    Good: README links to a live demo or deployed app.
    Good: README includes status badges.
    Good: README documents how to install the project.
    Good: README documents how to run the project.
  • uv.lock
    Good: Lockfile present (uv.lock). Installs are reproducible.