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.

Add more skills

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

architect

Most recent maintenance signal among this shortlist.

Signal	architect Decide what the system should become before /spec commits an implementation plan. Runs inline in the active coding-agent session, grounds every claim in current repository sources, and returns one Architecture Brief. TRIGGER when: a change alters module/system boundaries, the execution or ownership model, persistent state, a security or isolation boundary, a public API or compatibility contract, a lifecycle/state machine, provider portability, shared vocabulary, cross-skill control-plane behavior, a new reusable abstraction, the retirement of an existing one, or any structural decision that is expensive to reverse; asked to "design this", "what should the architecture be", "is this architecturally significant", "ADR for X", before /spec plan on a structural change. Do NOT trigger for ordinary local changes — a bug fix, a copy edit, a new test, a contained refactor inside one module.	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	57/100 Promising	100/100 Excellent	100/100 Excellent	100/100 Excellent
Decision verdict	56/100 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	37 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