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 4 skills

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

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Decision summary

Maigret is the strongest overall pick here because it has a 100/100 readiness score and fits Research agents.

Strongest overall

Maigret

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

Fastest prototype

Maigret

Best first install candidate based on install readiness and adoption.

Freshest repo

food-review

Most recent maintenance signal among this shortlist.

Signal	food-review Multi-reviewer peer-review system for food & nutrition manuscripts. Simulates an editorial panel — a coordinating editor, three domain reviewers (methodology/statistics, domain/novelty, integrity/ethics), and a devil's advocate — plus a formatting-compliance check against the target journal (APA 7.0 by default, or a specific journal via journal-selector). Grounds the panel first: reads the manuscript's cited sources and the field's key literature into a knowledge base, so novelty and correctness are judged from evidence, not impression. Use for pre-submission review, reviewer reports, mock peer review, or a critique before submitting. Triggers: review my paper, peer review, referee report, reviewer reports, critique my manuscript, pre-submission review, is my paper ready, mock review, editorial review, assess novelty and rigor.	Nuclei Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.	Maigret 🕵️‍♂️ Collect a dossier on a person by username from 3000+ sites	Zaproxy The ZAP by Checkmarx Core project
Quality	56/100 Promising	100/100 Excellent	100/100 Excellent	100/100 Excellent
Decision verdict	55/100 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.	100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack.	100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack.
Adoption	31 stars Verified outcomes are shown on each skill page	29K stars Verified outcomes are shown on each skill page	33K stars Verified outcomes are shown on each skill page