Skill comparison
Compare agent skills before installing.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
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
Deer Flow
Most recent maintenance signal among this shortlist.
| Signal | GoBigger [ICLR 2023] Come & try Decision-Intelligence version of "Agar"! Gobigger could also help you with multi-agent decision intelligence study. | Agent Framework A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET. | 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 | 53/100 Needs review | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 55/100 Needs manual review Do a manual repository review before adding this to an agent workflow. | 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 | 503 stars 0 installs | 11K stars 0 installs | 14K stars 0 installs | 71K stars 0 installs |
| Freshness | Aug 31, 2023 | Jun 14, 2026 | Jun 7, 2026 | Jun 14, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, Multi-Agent, Claude Code | Python, Multi-Agent, Claude Code | Python, LLM, Claude Code | Python, Multi-Agent, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No major risk signals from current metadata |
| Best for | 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 | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that require actively maintained dependencies · production agents without a repository 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 | 0 views 0 install copies | 8 views 1 install copies |
| Install | $ npx skills add opendilab/GoBigger | $ npx skills add microsoft/agent-framework | $ npx skills add GreyDGL/PentestGPT | $ npx skills add bytedance/deer-flow |