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

ai-foundry-posture-check

Most recent maintenance signal among this shortlist.

Signal	ai-foundry-posture-check Assess security, reliability, and cost posture of Azure OpenAI and Microsoft Foundry deployments. Detects critical anti-patterns: API keys instead of Managed Identity, public endpoints without firewall, disabled content filtering, missing diagnostic settings, deprecated model versions, over-provisioned PTU, absence of AI Gateway (APIM) for rate limiting, shared dev/prod deployments, quota exhaustion risk, 429 throttling rates, runaway token consumption, and single-region deployment. Use when asked about AI workload security, OpenAI best practices, Foundry health check, model deployment review, AI cost optimization, quota monitoring, or throttling analysis.	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	65/100 Promising	100/100 Excellent	100/100 Excellent	100/100 Excellent
Decision verdict	64/100 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	70 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