0

/ 100

GradeA

Polished and well engineered. Punching above its star count.

A security-first MCP server that empowers AI agents to perform automated reverse engineering, malware analysis, forensics, vulnerability research, and SAST — powered by Radare2, YARA, LIEF, Capstone, and more.

Documentation

96

Contributing guide5pt72

CONTRIBUTING guide found.

README12pt100

README is present.

Install and run instructions9pt100

README documents how to install the project.

License6pt100

Licensed under MIT.

Engineering

88

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.

Tests18pt100

Test files detected (pytest.ini).

CI/CD14pt100

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

Linting and formatting5pt100

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

Reproducibility6pt100

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

Project health

93

Dependency manifest6pt79

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)
  • 18
    Forks
  • 43
    Releaseslatest 7mo ago

Community

  • -
    Community health
  • -
    authors own >50% of commits
  • 163
    Watchers

Responsiveness

  • -
    Median issue response
  • <1h
    Median PR merge time
  • 0
    Open issues
Repository files35 root entries
  • .github
    Good: CI is configured (.github/workflows/main.yml).
    Good: Dependabot covers 3 ecosystems (pip, docker, github-actions). Dependencies stay current.
  • artifacts
  • docs
    Good: CONTRIBUTING guide found.
    Issue: CONTRIBUTING guide contents could not be read (−28 pts vs a readable file).Fix: Move the file to the repo root or docs/CONTRIBUTING.md so its setup, style, test, and PR sections can be graded.
  • reports
  • resources
  • reversecore_mcp
  • rules
  • scratch
  • scripts
  • templates
  • tests
  • .coveragerc
  • .dockerignore
  • .env.example
  • .gitignore
    Good: .gitignore present.
  • .pre-commit-config.yaml
  • .trivyignore
  • AGENTS.md
  • docker-compose.yml
  • Dockerfile
    Good: Environment pinned via Dockerfile.
  • Dockerfile.base
  • icon.png
  • LICENSE
    Good: Licensed under MIT.
  • mkdocs.yml
  • pyproject.toml
    Good: Dependency manifest found (pyproject.toml).
  • pytest.ini
    Good: Test files detected (pytest.ini).
  • 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-dev.txt
  • requirements.txt
    Good: Lockfile present (requirements.txt). Installs are reproducible.
  • res.txt
  • SECURITY.md
    Good: Security policy present.
  • server.py
  • test_res_cov.txt
  • test_res.txt
  • TOOL_TESTING_SUMMARY.md