99

/ 100

GradeA

Polished and well engineered. Punching above its star count.

Top 2% of 5,156 graded repos

AI antivirus for developer agents: protect Codex, Claude Code, Cursor, Gemini, OpenCode, plugins, skills, MCP servers, and AI harnesses before tools run.

Outstanding. A score of 99/100 puts this repo in a very small tier of truly well-engineered projects.

Top fixes

Highest-impact changes first, ranked by point weight

1 to address
  1. 1
    Install and run instructions9pt

    Add a .env.example listing all required environment variables so contributors know what to set up.

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Scorecard

Every check, grouped by category and sorted worst-first

Documentation

97

Install and run instructions9pt90

README documents how to install the project.

README12pt100

README is present.

License6pt100

Licensed under Other.

Contributing guide5pt100

Contributing guide is detailed and thorough.

Engineering

100

Tests18pt100

Test files detected (dashboard/e2e/policy-cloud-exceptions-states.spec.ts).

CI/CD14pt100

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

Linting and formatting5pt100

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

Reproducibility6pt100

Lockfile present (requirements.txt). Installs are reproducible.

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

  • 578 / 1496
    Commits (30d / 90d)
  • 8
    Forks
  • 979
    Releaseslatest 4mo ago

Community

  • 75% - Good
    Community health
  • 1 bus factorlow
    author own >50% of commits
  • 378
    Watchers

Responsiveness

  • 15d 18h
    Median issue response
  • <1h
    Median PR merge time
  • 101
    Open issues
Repository files24 root entries
  • .clusterfuzzlite
    Good: Environment pinned via .clusterfuzzlite/Dockerfile.
  • .factory
  • .github
    Good: CI is configured (.github/workflows/ci.yml).
    Good: Dependabot covers 3 ecosystems (pip, github-actions, docker). Dependencies stay current.
    Good: Issue or PR templates present.
  • action
  • dashboard
    Good: Test files detected (dashboard/e2e/policy-cloud-exceptions-states.spec.ts).
  • docs
  • fuzzers
  • schemas
  • scripts
  • src
  • tests
  • .dockerignore
  • .gitignore
    Good: .gitignore present.
  • .pre-commit-hooks.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.
  • docker-requirements.txt
  • Dockerfile
  • LICENSE
    Good: Licensed under Other.
  • PRODUCT.md
  • 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.
  • requirements.txt
    Good: Lockfile present (requirements.txt). Installs are reproducible.
  • SECURITY.md
    Good: Security policy present.
  • uv.lock
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