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

Cellium Agent

Most recent maintenance signal among this shortlist.

SignalCellium Agent

运行时自扩展工具AI Self-Evolving AI Agent Framework | Decision-Loop Driven Microkernel Architecture with Hot-Pluggable Components & Triple-Layer Memory | Agent Infinite Evolution Engine that Learns from Failures

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.

Adk Python

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Quality
67/100
Promising
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
66/100
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.

Adoption127 stars
Verified outcomes are shown on each skill page
14K stars
Verified outcomes are shown on each skill page
71K stars
Verified outcomes are shown on each skill page
20K stars
Verified outcomes are shown on each skill page
FreshnessJun 18, 2026Jun 7, 2026Jun 14, 2026Jun 13, 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 OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forGitHub automation workflows · Claude Code teams · builders willing to evaluate younger projectsCoding 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
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Install
$ npx skills add Cellium-Project/Cellium-Agent
$ npx skills add GreyDGL/PentestGPT
$ npx skills add bytedance/deer-flow
$ npx skills add google/adk-python