0

/ 100

GradeC

Good shape overall. A few tweaks would push it into the top tier.

Top 36% of 5,156 graded repos

A set of examples based on verl for end-to-end RL training recipes.

Python298Apache-2.01mo ago

Top fixes

Highest-impact changes first, ranked by point weight

13 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
    CI/CD14pt

    Add a step like `run: npm test`, `run: pytest`, or `run: tox` to your workflow file.

  3. 3
    CI/CD14pt

    Add `tsc --noEmit`, `mypy`, or `cargo check` to catch type errors before they merge.

  4. 4
    CI/CD14pt

    Upload coverage to Codecov, Coveralls, or report it with `--coverage` flags.

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Scorecard

Every check, grouped by category and sorted worst-first

Documentation

77

Contributing guide5pt25

Contributing guidance is in the README, not a dedicated CONTRIBUTING.md (−20 pts).

Moving it to a CONTRIBUTING.md makes it easier to find and keeps the README focused. A dedicated file earns +47 pts base.

README12pt70

README is present.

Install and run instructions9pt100

README documents how to install the project.

License6pt100

Licensed under Apache-2.0.

Engineering

70

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.

CI/CD14pt72

CI is configured (.github/workflows/pre-commit.yml).

Tests18pt80

Test files detected (async_flow/tests).

Reproducibility6pt80

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

Linting and formatting5pt100

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

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)
  • 139
    Forks
  • 0
    Releases

Community

  • -
    Community health
  • -
    authors own >50% of commits
  • 298
    Watchers

Responsiveness

  • 1d 9h
    Median issue response
  • 1d 23h
    Median PR merge time
  • 38
    Open issues
Repository files38 root entries
  • .github
    Good: CI is configured (.github/workflows/pre-commit.yml).
  • async_flow
    Good: Test files detected (async_flow/tests).
    Good: Lockfile present (async_flow/requirements.txt). Installs are reproducible.
  • atropos
  • char_count
  • collabllm
  • dance_grpo
  • dapo
  • deepeyes
  • entropy
  • fapo
  • flowrl
  • genrm_remote
  • gkd
  • gvpo
  • infigui-g1
  • langgraph_agent
  • low_precision
  • minicpmo
  • nemo_gym
  • open_math_reasoning
  • partial_rollout
  • prime
  • qat
  • r1
  • rep_exp
  • retool
  • specRL
  • spin
  • spo
    Good: Environment pinned via spo/environment.yml.
  • sppo
  • .gitignore
    Good: .gitignore present.
  • .pre-commit-config.yaml
  • change.md
  • CODEOWNERS
  • install_verl.sh
  • LICENSE
    Good: Licensed under Apache-2.0.
  • pyproject.toml
    Good: Dependency manifest found (pyproject.toml).
  • README.md
    Good: README is present.
    Good: README is well structured with multiple sections.
    Issue: No screenshots or images in the README (−20 pts).Fix: Add a GIF, screenshot, or logo image. It is the fastest way to show what your project does.
    Good: README has code examples.
    Good: README links to a live demo or deployed app.
    Issue: No status badges in the README (−10 pts).Fix: Add CI/build status badges from shields.io or your CI provider to signal project health.
    Good: README documents how to install the project.
    Good: README documents how to run the project.
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