Skill comparison

Compare agent skills before installing.

Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.

Comparing 2 skills

Use this as a shortlist, then open the skill detail page before adopting.

Decision summary

Strongest overall

Code Review

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

Code Review

Best first install candidate based on install readiness and adoption.

Freshest repo

evaluate-run

Most recent maintenance signal among this shortlist.

Signal	evaluate-run Grade a completed factory run (a worktree + its chat) against your standards, cold and adversarially, so the system learns. Squashes the session transcript into a compact digest (prompts + corrections, the ordered tool timeline, the diff), then a fresh evaluator judges how the run went - did it follow the loop, honor your conventions, write real tests, ask at the right moments, handle corrections - and routes every finding to a durable fix (/add-rule for code, a persistent memory for process). This is the OFFLINE complement to the correction hook - the hook catches what you notice live, this catches what you didn't. Use for "evaluate this factory run", "grade this chat", "how did that go, what should it learn".	Code Review Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
Quality	55/100 Promising	100/100 Excellent
Decision verdict	54/100 Needs manual review Do a manual repository review before adding this to an agent workflow.	100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack.
Adoption	22 stars Verified outcomes are shown on each skill page	169K stars Verified outcomes are shown on each skill page
Freshness	Sep 4, 2026	Jul 13, 2026
Use-case fit	Coding agents	Coding agents GitHub automation Research agents