ouro-ai-labs/ouro

0

/ 100

Documentation85
Engineering85
Health100
Python43MITtoday
Grade a repo

Well engineered for its size. A portfolio piece worth showing off.

Ouro is an open-source AI agent — run it as a Coding agent CLI or deploy it as a bot just like JARVIS.

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 MIT.

Engineering

85

CI/CD14pt57

CI is configured (.github/workflows/ci.yml).

Reproducibility6pt80

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

Tests18pt100

Test files detected (test).

Linting and formatting5pt100

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

Issue and PR templates6pt100

Issue or PR templates present.

Project health

100

Dependency manifest6pt100

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)
  • 8
    Forks
  • 16
    Releaseslatest 3mo ago

Community

  • 50% - Fair
    Community health
  • 1 bus factorlow
    author own >50% of commits
  • 43
    Watchers

Responsiveness

  • 6d 4h
    Median issue response
  • <1h
    Median PR merge time
  • 2
    Open issues
Repository files21 root entries
  • .github
    Good: CI is configured (.github/workflows/ci.yml).
    Good: Issue or PR templates present.
  • docs
  • examples
  • ouro
  • ouro_harbor
  • rfc
  • scripts
  • test
    Good: Test files detected (test).
  • .gitignore
    Good: .gitignore present.
  • .importlinter
  • .pre-commit-config.yaml
  • AGENTS.md
  • CHANGELOG.md
  • CLAUDE.md
  • Dockerfile
    Good: Environment pinned via Dockerfile.
  • harbor-run.sh
  • LICENSE
    Good: Licensed under MIT.
  • MANIFEST.in
  • 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.