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

power-analysis

Most recent maintenance signal among this shortlist.

Signal	power-analysis Use when the user is planning a two-arm comparison (an A/B test, a simple RCT, a behavioral study, or a two-model/two-config evaluation) and needs to size it and preregister it before collecting data — finding the per-group sample size that hits target statistical power for the smallest effect worth detecting, auditing the design against a validity checklist, and locking it in a preregistration. Only for a single two-arm comparison with one primary outcome. Not for factorial, repeated-measures, clustered/multilevel, time-series, adaptive, or survival designs; not for analyzing data already collected; not for choosing the outcome or manipulation from domain knowledge.	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	63/100 Promising	100/100 Excellent	100/100 Excellent	100/100 Excellent
Decision verdict	62/100 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	163 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