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.

Add more skills

Decision summary

Langfuse is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.

Strongest overall

Langfuse

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

Langfuse

Best first install candidate based on install readiness and adoption.

Freshest repo

Agenta

Most recent maintenance signal among this shortlist.

SignalAgenta

The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.

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.

Langfuse

🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

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.

Adoption4.2K stars
0 installs
27K stars
0 installs
20K stars
0 installs
29K stars
0 installs
FreshnessJun 14, 2026Jun 14, 2026Jun 13, 2026Jun 13, 2026
Use-case fit
Stack fit
Platform hintsTypeScript, LLMOps, Claude CodePython, LLMOps, Claude Code, LangChainPython, LLMOps, Claude Code, LangChainTypeScript, LLMOps, Claude Code, OpenAI Agents, LangChain
WarningsNo major risk signals from current metadataNo OpenAgentSkill engagement data yetNo major risk signals from current metadataNo OpenAgentSkill engagement data yet
Best forCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement2 views
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Install
$ npx skills add Agenta-AI/agenta
$ npx skills add mlflow/mlflow
$ npx skills add comet-ml/opik
$ npx skills add langfuse/langfuse