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

go-defensive-coding

Most recent maintenance signal among this shortlist.

Signal	go-defensive-coding Prevent panics, silent corruption, and subtle runtime bugs in Go: typed-nil interfaces, slice aliasing, integer overflow on conversion, float comparison, defer in loops, defensive copying at API boundaries, and zero-value design. Use when hardening code against crashes, reviewing for nil-safety, converting between numeric types, or deciding what to copy at a package boundary. Trigger examples: "nil pointer panic", "why is my error not nil", "slice aliasing", "integer overflow", "compare floats", "defer in a loop", "defensive copy", "make this crash-proof". Not for: data races and goroutine lifecycle (go-concurrency-review), injection and auth (go-security-audit), a panic that already happened (go-troubleshooting).	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	71 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