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

AgentEval

Most recent maintenance signal among this shortlist.

Signal	AgentEval AgentEval is the comprehensive .NET toolkit for AI agent evaluation—tool usage validation, RAG quality metrics, stochastic evaluation, and model comparison—built first for Microsoft Agent Framework (MAF) and Microsoft.Extensions.AI. What RAGAS, PromptFoo and DeepEval do for Python, AgentEval does for .NET	Camel 🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org	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	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.
Adoption	124 stars 0 installs	17K stars 0 installs	71K stars 0 installs	20K stars 0 installs
Freshness	Jun 20, 2026	Jun 17, 2026	Jun 14, 2026	Jun 13, 2026
Use-case fit	Coding agents Browser automation Sports analytics	GitHub automation Coding agents RAG and knowledge	Coding agents RAG and knowledge Research agents	Coding agents RAG and knowledge Browser automation
Stack fit	Coding review agent Browser QA agent	Content growth agent Coding review agent	Coding review agent RAG knowledge base	Coding review agent Content growth agent
Platform hints	C#, LLM, Claude Code	Python, LLM, Claude Code	Python, Multi-Agent, Claude Code	Python, Multi-Agent, Claude Code
Warnings	No OpenAgentSkill engagement data yet	No major risk signals from current metadata	No major risk signals from current metadata	No OpenAgentSkill engagement data yet
Best for	Coding agents workflows · Claude Code teams · builders willing to evaluate younger projects	GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals	Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals	Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal for	teams that need a vendor-supported SLA · high-compliance environments without internal security review	teams that need a vendor-supported SLA · high-compliance environments without internal security review	teams that need a vendor-supported SLA · high-compliance environments without internal security review	teams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement	0 views 0 install copies	0 views 0 install copies	8 views 1 install copies	0 views 0 install copies
Install	`$ npx skills add AgentEvalHQ/AgentEval`	`$ npx skills add camel-ai/camel`	`$ npx skills add bytedance/deer-flow`	`$ npx skills add google/adk-python`