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.
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 | Pytorch DRL PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent. | 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 | 54/100 Needs review | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 56/100 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 | 617 stars 0 installs | 71K stars 0 installs | 20K stars 0 installs | 11K stars 0 installs |
| Freshness | Nov 11, 2017 | Jun 14, 2026 | Jun 13, 2026 | Jun 14, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, Multi-Agent, Claude Code | Python, Multi-Agent, Claude Code | Python, Multi-Agent, Claude Code | Python, Multi-Agent, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet | No major risk signals from current metadata | No major risk signals from current metadata | No major risk signals from current metadata |
| Best for | 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 | 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 | 4 views 1 install copies | 2 views 0 install copies | 2 views 0 install copies |
| Install | $ npx skills add ChenglongChen/pytorch-DRL | $ npx skills add bytedance/deer-flow | $ npx skills add google/adk-python | $ npx skills add microsoft/agent-framework |