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 | Elimination Game A multi-player tournament benchmark that tests LLMs in social reasoning, strategy, and deception. Players engage in public and private conversations, form alliances, and vote to eliminate each other | 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. | Agent Framework A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET. |
|---|---|---|---|---|
| Quality | 59/100 Promising | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 49/100 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 | 301 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 | 11K stars Verified outcomes are shown on each skill page |
| Freshness | Jan 7, 2026 | Jun 14, 2026 | Jun 13, 2026 | Jun 14, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Multi-Agent, Claude Code, OpenAI Agents | Python, Multi-Agent, Claude Code | Python, Multi-Agent, Claude Code | Python, Multi-Agent, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No major risk signals from current metadata |
| Best for | Browser automation workflows · Claude Code teams · builders willing to evaluate younger projects | 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 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 | 0 views 0 install copies | 8 views 0 install copies |
| Install | $ npx skills add lechmazur/elimination_game | $ npx skills add bytedance/deer-flow | $ npx skills add google/adk-python | $ npx skills add microsoft/agent-framework |