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
Mlflow is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.
Strongest overall
Mlflow
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Mlflow
Best first install candidate based on install readiness and adoption.
Freshest repo
Mlflow
Most recent maintenance signal among this shortlist.
| Signal | Burr Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure. | 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. | Evidently Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics. |
|---|---|---|---|---|
| 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 | 2.4K stars 0 installs | 27K stars 0 installs | 20K stars 0 installs | 7.6K stars 0 installs |
| Freshness | Jun 13, 2026 | Jun 14, 2026 | Jun 13, 2026 | May 2, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, LLMOps, Claude Code | Python, LLMOps, Claude Code, LangChain | Python, LLMOps, Claude Code, LangChain | Jupyter Notebook, LLMOps, Claude Code |
| Warnings | No major risk signals from current metadata | No OpenAgentSkill engagement data yet | No major risk signals from current metadata | No OpenAgentSkill engagement data yet |
| 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 | 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 | 3 views 0 install copies | 0 views 0 install copies | 3 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add apache/burr | $ npx skills add mlflow/mlflow | $ npx skills add comet-ml/opik | $ npx skills add evidentlyai/evidently |