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
Cleanrl is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
Cleanrl
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Cleanrl
Best first install candidate based on install readiness and adoption.
Freshest repo
Darts
Most recent maintenance signal among this shortlist.
| Signal | Cleanrl High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG) | Sonnet TensorFlow-based neural network library | Pyod A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents. | Darts A python library for user-friendly forecasting and anomaly detection on time series. |
|---|---|---|---|---|
| Quality | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 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. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 9.9K stars 0 installs | 9.9K stars 0 installs | 9.9K stars 0 installs | 9.4K stars 0 installs |
| Freshness | Apr 20, 2026 | May 6, 2026 | Jun 5, 2026 | Jun 6, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, Machine Learning, Claude Code | Python, Machine Learning, Claude Code | Python, Machine Learning, Claude Code | Python, Machine Learning, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation 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 | 0 views 0 install copies |
| Install | $ npx skills add vwxyzjn/cleanrl | $ npx skills add google-deepmind/sonnet | $ npx skills add yzhao062/pyod | $ npx skills add unit8co/darts |