0

/ 100

GradeA

A top-tier open source project. Docs, tests, and CI are all in excellent shape.

Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.

Outstanding. A score of 97/100 puts this repo in a very small tier of truly well-engineered projects.

Documentation

97

Install and run instructions9pt90

README documents how to install the project.

README12pt100

README is present.

License6pt100

Licensed under MIT.

Contributing guide5pt100

Contributing guide is detailed and thorough.

Engineering

95

CI/CD14pt85

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

Reproducibility6pt97

Lockfile present (go.sum). Installs are reproducible.

Tests18pt100

Test files detected (cmd/code2context/code_test.go).

Linting and formatting5pt100

Formatting enforced (web/.prettierrc).

Issue and PR templates6pt100

Issue or PR templates present.

Project health

100

Dependency manifest6pt100

Dependency manifest found (go.mod).

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

  • 3 / 60
    Commits (30d / 90d)
  • 4,197
    Forks
  • 408
    Releaseslatest 1y ago

Community

  • 100% - Good
    Community health
  • 2 bus factor
    authors own >50% of commits
  • 42,722
    Watchers

Responsiveness

  • 8h
    Median issue response
  • 18h
    Median PR merge time
  • 65
    Open issues
Repository files23 root entries
  • .devcontainer
  • .github
    Good: CI is configured (.github/workflows/ci.yml).
    Good: Issue or PR templates present.
  • .vscode
  • cmd
    Good: Test files detected (cmd/code2context/code_test.go).
  • completions
  • data
  • docs
    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.
    Good: Code of conduct present.
    Good: Security policy present.
  • internal
  • nix
  • scripts
    Good: Environment pinned via scripts/docker/Dockerfile.
  • web
    Good: Formatting enforced (web/.prettierrc).
    Good: Dependabot is configured. Dependencies update automatically.
  • .dockerignore
  • .envrc
  • .gitignore
    Good: .gitignore present.
  • .goreleaser.yaml
  • CHANGELOG.md
  • flake.lock
  • flake.nix
  • go.mod
    Good: Dependency manifest found (go.mod).
  • go.sum
    Good: Lockfile present (go.sum). Installs are reproducible.
  • LICENSE
    Good: Licensed under MIT.
  • 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.
  • README.zh.md
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