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
ChatDev is the strongest overall pick here because it has a 100/100 readiness score and fits GitHub automation.
Strongest overall
ChatDev
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
ChatDev
Best first install candidate based on install readiness and adoption.
Freshest repo
Mlflow
Most recent maintenance signal among this shortlist.
| Signal | ChatDev Use multi-agent collaboration for software development | Mlflow The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data. | Opik Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards. | RagaAI Catalyst Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view |
|---|---|---|---|---|
| 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 | 33K stars 0 installs | 26K stars 0 installs | 19K stars 0 installs | 16K stars 0 installs |
| Freshness | May 27, 2026 | Jun 5, 2026 | Jun 5, 2026 | Feb 11, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, Multi-Agent, LLM, Claude Code | Python, LLMOps, Claude Code, LangChain | Python, LLMOps, Claude Code, LangChain | Python, LLMOps, Claude Code |
| Warnings | No major risk signals from current metadata | No major risk signals from current metadata | No major risk signals from current metadata | 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 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 | 3 views 0 install copies | 1 views 0 install copies | 3 views 0 install copies | 1 views 0 install copies |
| Install | $ npx skills add OpenBMB/ChatDev | $ npx skills add mlflow/mlflow | $ npx skills add comet-ml/opik | $ npx skills add raga-ai-hub/RagaAI-Catalyst |