0

/ 100

GradeB

Polished and well engineered. Punching above its star count.

Top 14% of 5,156 graded repos

Modular Python SDK and monorepo for AI agents, LLM integrations, tools, parsers, embeddings, vector stores, and extensible application workflows.

Python104Apache-2.01mo ago

Top fixes

Highest-impact changes first, ranked by point weight

4 to address
  1. 1
    Tests18pt

    Wire your tests to a documented command (e.g. a test script in your build config) so the suite is reproducible.

  2. 2
    Install and run instructions9pt

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

  3. 3
    Reproducibility6pt

    Add .github/dependabot.yml with at least one package-ecosystem entry so dependencies are updated automatically.

  4. 4
    Linting and formatting5pt

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

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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 Apache-2.0.

Contributing guide5pt100

Contributing guide is detailed and thorough.

Engineering

80

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 (pkgs/base/tests).

Reproducibility6pt80

Lockfile present (package-lock.json). Installs are reproducible.

CI/CD14pt100

CI is configured (.github/workflows/v0.10.0_license-scan.yml).

Issue and PR templates6pt100

Issue or PR templates present.

Project health

100

Dependency manifest6pt100

Dependency manifest found (pkgs/base/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)
  • 48
    Forks
  • 1000
    Releaseslatest 4mo ago

Community

  • -
    Community health
  • -
    authors own >50% of commits
  • 104
    Watchers

Responsiveness

  • 15h
    Median issue response
  • <1h
    Median PR merge time
  • 301
    Open issues
Repository files15 root entries
  • .agents
  • .github
    Good: CI is configured (.github/workflows/v0.10.0_license-scan.yml).
    Good: Issue or PR templates present.
  • assets
  • docs
  • pkgs
    Good: Test files detected (pkgs/base/tests).
    Good: Environment pinned via pkgs/plugins/zdx/Dockerfile.
    Good: Dependency manifest found (pkgs/base/pyproject.toml).
  • plugins
  • scripts
  • .gitignore
    Good: .gitignore present.
  • .peagen.toml
  • AGENTS.md
  • 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.
  • LICENSE
    Good: Licensed under Apache-2.0.
  • package-lock.json
    Good: Lockfile present (package-lock.json). Installs are reproducible.
  • 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.
  • STYLE_GUIDE.md
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