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

sdlc-intent

Most recent maintenance signal among this shortlist.

Signal	sdlc-intent Digests and health-checks product requirement documents (PRD). Stage 1 produces a structured digest (roles, concepts, feature map, flow diagrams, state machines) to build shared understanding; stage 2 audits the requirement against a six-layer defect taxonomy and produces a graded issue report plus a PM clarification checklist. Use when the user shares a requirement/PRD document (Feishu/wiki link or local file) and wants to understand it, prepare for design, or find problems before development. 触发词：需求文档、需求梳理、需求体检、需求评审、产品需求、帮我理解这个需求、sdlc-intake、PRD digest、requirement audit.	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	55/100 Promising	100/100 Excellent	100/100 Excellent	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.	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	25 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