0

/ 100

GradeA

Excellent work. The main thing left to polish is a reproducible setup.

Top 5% of 5,156 graded repos

Real-time multimodal desktop agent evolving toward a persistent AI OS interface (0.17 α).

Outstanding. A score of 96/100 puts this repo in a very small tier of truly well-engineered projects.

Top fixes

Highest-impact changes first, ranked by point weight

8 to address
  1. 1
    Reproducibility6pt

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

  2. 2
    Reproducibility6pt

    Add .github/dependabot.yml with at least one package-ecosystem entry, or a renovate.json, so dependencies are updated automatically.

  3. 3
    Dependency manifest6pt

    Add a [project.urls] table (Homepage, Repository) so PyPI links back to your project.

  4. 4
    Dependency manifest6pt

    Add `authors = [...]` under [project] so the package has clear ownership.

Working through the fixes? Let every push regrade itself.

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Scorecard

Every check, grouped by category and sorted worst-first

Documentation

96

Contributing guide5pt72

Contributing guide is detailed and thorough.

README12pt100

README is present.

Install and run instructions9pt100

README documents how to install the project.

License6pt100

Licensed under AGPL-3.0.

Engineering

96

Reproducibility6pt70

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

Tests18pt100

Test files detected (electron/tests).

CI/CD14pt100

CI is configured (.github/workflows/python-linux.yml).

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

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)
  • 43
    Forks
  • 7
    Releaseslatest 14d ago

Community

  • 75% - Good
    Community health
  • -
    authors own >50% of commits
  • 449
    Watchers

Responsiveness

  • 5h
    Median issue response
  • 3h
    Median PR merge time
  • 38
    Open issues
Repository files53 root entries
  • .github
    Good: CI is configured (.github/workflows/python-linux.yml).
    Good: Issue or PR templates present.
  • agent_host
  • architecture
  • asr
  • assets
  • characters
  • config
  • core
  • docs
  • electron
    Good: Test files detected (electron/tests).
  • examples
  • GPT_SoVITS
    Good: Licensed under AGPL-3.0.
  • LICENSES
  • llm
  • openclaw
  • release
  • render
  • schemas
  • scripts
  • sdk
  • server
  • skills
  • tests
  • tools
  • tts
  • vendor
  • vn_player
  • vts
  • wallpaper
  • .env.example
  • .gitattributes
  • .gitignore
    Good: .gitignore present.
  • AGENTS.md
  • ARCHITECTURE.md
  • CONTRIBUTING.md
    Good: Contributing guide is detailed and thorough.
    Issue: Contributing guide lacks a setup section (−12 pts).Fix: Show new contributors how to get a local dev environment running.
    Issue: Contributing guide lacks a code style section (−8 pts).Fix: Describe your linting/formatting rules and how to run them.
    Issue: Contributing guide lacks a testing section (−8 pts).Fix: Show contributors how to run the test suite (e.g. npm test, pytest, cargo test).
    Good: Contributing guide describes the PR/review workflow.
    Good: Contributing guide includes code examples.
  • LICENSE
  • LINUX_INSTALL.md
  • local_tts_infer.py
  • MACOS_INSTALL.md
  • main.py
  • pyproject.toml
    Good: Dependency manifest found (pyproject.toml).
  • README_ZH.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.
  • README.md
  • ROADMAP.md
  • run_electron_utf8.bat
  • SECURITY.md
    Good: Security policy present.
  • start_hybrid_llm.bat
  • start_llm_server.bat
  • SUPPORT.md
  • THIRD_PARTY_NOTICES.md
  • TIER_TAXONOMY.md
  • uv.lock
    Good: Lockfile present (uv.lock). Installs are reproducible.
  • WINDOWS_INSTALL.md
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