tobocop2/lilbee

0

/ 100

Documentation97
Engineering82
Health100
Python26Other4d ago
Grade a repo

Well engineered for its size. A portfolio piece worth showing off.

A local AI search engine: it runs and manages local AI models, searches your files and code, and crawls the web, all in one program. Cited answers, local-first, with an MCP server for your coding agent. TUI, CLI, REST API, and Python library. Works with Ollama and LM Studio.

Documentation

97

Install and run instructions9pt90

README documents how to install the project.

Contributing guide5pt97

Contributing guide is detailed and thorough.

README12pt100

README is present.

License6pt100

Licensed under Other.

Engineering

82

Linting and formatting5pt0

No linter or formatter config found.

→ Add a linter config such as .eslintrc.json, .prettierrc, ruff.toml, or .golangci.yml to enforce consistent code style.

Tests18pt80

Test files detected (tests).

CI/CD14pt100

CI is configured (.github/workflows/build-cuda-executables.yml).

Reproducibility6pt100

Lockfile present (uv.lock). 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

  • —
    Commits (30d / 90d)
  • 3
    Forks
  • 86
    Releaseslatest 3mo ago

Community

  • 100% - Good
    Community health
  • 1 bus factorlow
    author own >50% of commits
  • 26
    Watchers

Responsiveness

  • 3h
    Median issue response
  • <1h
    Median PR merge time
  • 2
    Open issues
Repository files29 root entries
  • .github
    Good: CI is configured (.github/workflows/build-cuda-executables.yml).
    Good: Dependabot covers 2 ecosystems (pip, github-actions). Dependencies stay current.
    Good: Issue or PR templates present.
  • bucket
  • docs
  • examples
  • packaging
    Good: Environment pinned via packaging/docker/Dockerfile.
  • scripts
  • site
  • src
  • tests
    Good: Test files detected (tests).
  • tools
  • .gitignore
    Good: .gitignore present.
  • .gitleaks.toml
  • AGENTS.md
  • CHANGELOG.md
  • CODE_OF_CONDUCT.md
    Good: Code of conduct present.
  • 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.
    Issue: Contributing guide lacks a PR workflow section (−8 pts).Fix: Explain how to fork, branch, and open a pull request so contributors know what to expect.
    Good: Contributing guide includes code examples.
  • flake.lock
  • flake.nix
  • glama.json
  • LICENSE
    Good: Licensed under Other.
  • Makefile
  • osv-scanner.toml
  • 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.
  • sources-cuda.json
  • sources.json
  • TROUBLESHOOTING.md
  • uv.lock
    Good: Lockfile present (uv.lock). Installs are reproducible.