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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

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

Strongest overall

Deer Flow

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

Fastest prototype

Deer Flow

Best first install candidate based on install readiness and adoption.

Freshest repo

Camel

Most recent maintenance signal among this shortlist.

SignalFoam Agent

Foam-Agent: An end-to-end, composable multi-agent framework for automating CFD simulations in OpenFOAM. NeurIPS 2025 Machine Learning and the Physical Sciences Workshop.

Camel

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

PentestGPT

Automated Penetration Testing Agentic Framework Powered by Large Language Models

Deer Flow

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.

Quality
78/100
Strong
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
77/100
Strong shortlist

Shortlist this skill and compare it with close alternatives before production adoption.

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.

Adoption260 stars
0 installs
17K stars
0 installs
14K stars
0 installs
71K stars
0 installs
FreshnessJun 2, 2026Jun 17, 2026Jun 7, 2026Jun 14, 2026
Use-case fit
GitHub automationCoding agentsRAG and knowledge
GitHub automationCoding agentsRAG and knowledge
Coding agentsRAG and knowledgeBrowser automation
Coding agentsRAG and knowledgeResearch agents
Stack fit
Content growth agentCoding review agent
Content growth agentCoding review agent
Coding review agentContent growth agent
Coding review agentRAG knowledge base
Platform hintsPython, LLM, Claude CodePython, LLM, Claude CodePython, LLM, Claude CodePython, Multi-Agent, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo major risk signals from current metadataNo OpenAgentSkill engagement data yetNo major risk signals from current metadata
Best forGitHub automation workflows · Claude Code teams · builders willing to evaluate younger projectsGitHub 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 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
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Install
$ npx skills add csml-rpi/Foam-Agent
$ npx skills add camel-ai/camel
$ npx skills add GreyDGL/PentestGPT
$ npx skills add bytedance/deer-flow