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

PentestGPT is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.

Strongest overall

PentestGPT

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

PentestGPT

Best first install candidate based on install readiness and adoption.

Freshest repo

Agent Framework

Most recent maintenance signal among this shortlist.

SignalRai

RAI is a vendor agnostic agentic framework for Physical AI robotics, utilizing ROS 2 tools to perform complex actions, defined scenarios, free interface execution, log summaries, voice interaction and more.

PentestGPT

Automated Penetration Testing Agentic Framework Powered by Large Language Models

Agent Framework

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

PraisonAI

PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.

Quality
78/100
Strong
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
89/100
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.

100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Adoption528 stars
Verified outcomes are shown on each skill page
14K stars
Verified outcomes are shown on each skill page
11K stars
Verified outcomes are shown on each skill page
8.1K stars
Verified outcomes are shown on each skill page
FreshnessJun 4, 2026Jun 7, 2026Jun 14, 2026Jun 14, 2026
Use-case fit
Workflow fit
Platform hintsPython, LLM, Claude CodePython, LLM, Claude CodePython, Multi-Agent, Claude CodePython, Multi-Agent, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo major risk signals from current metadataNo OpenAgentSkill engagement data yet
Best forGitHub automation workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
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Install
$ npx skills add RobotecAI/rai
$ npx skills add GreyDGL/PentestGPT
$ npx skills add microsoft/agent-framework
$ npx skills add MervinPraison/PraisonAI