codeclash-ai/codeclash
Grade a repo

89

/ 100

GradeB

Polished and well engineered. Punching above its star count.

Top 14% of 5,156 graded repos

Benchmarking Goal-Oriented Software Engineering

Documentation100
Engineering79
Health98
Python173MIT1mo ago

Top fixes

Highest-impact changes first, ranked by point weight

5 to address
  1. 1
    Tests18pt

    Wire your tests to a documented command (e.g. a test script in your build config) so the suite is reproducible.

  2. 2
    Reproducibility6pt

    Add a Dockerfile, .nvmrc, or .python-version to pin the runtime version and make the environment reproducible.

  3. 3
    Reproducibility6pt

    Add .github/dependabot.yml with at least one package-ecosystem entry so dependencies are updated automatically.

  4. 4
    Issue and PR templates6pt

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

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Scorecard

Every check, grouped by category and sorted worst-first

Documentation

100

README12pt100

README is present.

Install and run instructions9pt100

README documents how to install the project.

License6pt100

Licensed under MIT.

Contributing guide5pt100

Contributing guide is detailed and thorough.

Engineering

79

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.

Tests18pt85

Test files detected (configs/test).

CI/CD14pt100

CI is configured (.github/workflows/check-links.yaml).

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

  • 4 / 7
    Commits (30d / 90d)
  • 17
    Forks
  • 0
    Releases

Community

  • 75% - Good
    Community health
  • 1 bus factorlow
    author own >50% of commits
  • 173
    Watchers

Responsiveness

  • 5d 19h
    Median issue response
  • 13h
    Median PR merge time
  • 15
    Open issues
Repository files16 root entries
  • .github
    Good: Code of conduct present.
    Good: CI is configured (.github/workflows/check-links.yaml).
  • codeclash
  • configs
    Good: Test files detected (configs/test).
  • docs
    Good: Security policy present.
  • scripts
  • tests
  • .env.example
  • .gitignore
    Good: .gitignore present.
  • .pre-commit-config.yaml
  • CONTRIBUTING.md
    Good: Contributing guide is detailed and thorough.
    Good: Contributing guide includes setup/install instructions.
    Good: Contributing guide describes code style expectations.
    Good: Contributing guide explains how to run tests.
    Good: Contributing guide describes the PR/review workflow.
    Good: Contributing guide includes code examples.
  • LICENSE
    Good: Licensed under MIT.
  • main.py
  • mkdocs.yml
  • 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.
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