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

FastContext: Training Efficient Repository Explorer for Coding Agents

Documentation

82

Contributing guide5pt5

No CONTRIBUTING.md found (−47 pts base + up to −53 pts more for content).

Add a CONTRIBUTING.md telling newcomers how to get involved. Include setup, code style, test, and PR instructions.

Install and run instructions9pt90

README documents how to install the project.

README12pt100

README is present.

License6pt100

Licensed under MIT.

Engineering

51

CI/CD14pt0

No CI configuration detected in this repository.

If your CI lives elsewhere (a private repo that builds this one) or this project is itself a CI/CD tool, mark this check Not Applicable. Otherwise add a GitHub Actions workflow that runs tests on each push. It takes 15 minutes and reassures contributors their changes won't break things.

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.

Tests18pt85

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)
  • 51
    Forks
  • 0
    Releases

Community

  • Community health
  • authors own >50% of commits
  • 825
    Watchers

Responsiveness

  • 1d 7h
    Median issue response
  • 2h
    Median PR merge time
  • 10
    Open issues
Repository files16 root entries
  • benchmark
    Good: Environment pinned via benchmark/environment/Dockerfile.
  • figures
  • prompts
  • skills
  • src
  • tests
    Good: Test files detected (tests).
  • third_party
  • .gitignore
    Good: .gitignore present.
  • .gitmodules
  • CODE_OF_CONDUCT.md
    Good: Code of conduct present.
  • LICENSE
    Good: Licensed under MIT.
  • 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.
  • SECURITY.md
    Good: Security policy present.
  • SUPPORT.md
  • uv.lock
    Good: Lockfile present (uv.lock). Installs are reproducible.