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

github-profile

Most recent maintenance signal among this shortlist.

Signal	github-profile Audits and optimizes GitHub profile pages — profile README, metadata fields, pinned repositories, stats widgets, and contribution visibility. Use this skill whenever the user asks to improve, create, review, or optimize their GitHub profile, or mentions "profile README", "GitHub bio", "pinned repos", "GitHub stats", "contribution graph", or "GitHub presence". Also trigger when someone says things like "make my GitHub look good", "I want a better GitHub profile", "help me stand out on GitHub", "set up my GitHub page", or "optimize my developer profile". Works for both personal profiles and organization profile pages.	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	61/100 Promising	100/100 Excellent	100/100 Excellent	100/100 Excellent
Decision verdict	60/100 Prototype first Prototype with this skill first; keep a fallback candidate ready.	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	97 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