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scikit-learn/scikit-learnGitHub

https://github.com/scikit-learn/scikit-learn
Stars:
65.9k
Default branch:
main
Last scored:
6h ago
Overall

Strengths

  • AGENTS.md / CLAUDE.md
  • CI configuration
  • CONTRIBUTING guide
  • Dependency manifest
  • Reproducible dev env

Gaps

  • No missing signals — nice.

Suggestions to improve for a specific model

  1. 1
    Test suite
    Add a tests/ (or test/, __tests__/, spec/) directory with runnable tests. Document how to run them in AGENTS.md.
    +3.3 pts
  2. 2
    Manageable size
    If possible, split into smaller modules or carve out a focused entry path. Document where to start in AGENTS.md.
    +1.4 pts

Per-model scores

Claude Code
Weights AGENTS.md and tests heavily — Claude Code leans on an instructions file and a fast feedback loop.
94.7
Cursor
Weights type config and a detailed README highly — Cursor's inline edits benefit from static types and skim-readable docs.
95.9
Devin
Weights CI and reproducible envs highly — Devin runs in a sandboxed VM and needs end-to-end automation.
95.1
GPT-5 Codex
Balanced profile as a reference point.
95.3

Signal breakdown

AGENTS.md / CLAUDE.md· 100% pass
Substantive (964 chars)
AGENTS.md
CI configuration· 100% pass
22 GitHub Actions workflow(s)
.github/workflows
CONTRIBUTING guide· 100% pass
Guide present
CONTRIBUTING.md
Dependency manifest· 100% pass
Manifest present
pyproject.toml
Reproducible dev env· 100% pass
3 env artifacts (Makefile, makefile)
Makefile
License file· 100% pass
License present
COPYING
Linter / formatter config· 100% pass
Configured in pyproject.toml
pyproject.toml
Pre-commit / git hooks· 100% pass
Hook framework configured
.pre-commit-config.yaml
README· 100% pass
README detailed (7442 chars)
README.rst
Manageable size· 80% pass
1720 files
Test suite· 70% pass
Test files detected (sklearn/_loss/tests/test_link.py)
sklearn/_loss/tests/test_link.py
Type configuration· 100% pass
Configured in pyproject.toml
pyproject.toml