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.

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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

Opik

Most recent maintenance signal among this shortlist.

SignalOpenLLM

Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.

Opik

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

BentoML

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

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.

Adoption12K stars
Verified outcomes are shown on each skill page
20K stars
Verified outcomes are shown on each skill page
8.7K stars
Verified outcomes are shown on each skill page
29K stars
Verified outcomes are shown on each skill page
FreshnessJun 22, 2026Jun 25, 2026Jun 22, 2026Jun 20, 2026
Use-case fit
Workflow fit
Platform hintsPython, LLMOps, Claude Code, OpenAI AgentsPython, LLMOps, Claude Code, LangChainPython, LLMOps, Claude CodeTypeScript, LLMOps, Claude Code, OpenAI Agents, LangChain
WarningsNo OpenAgentSkill engagement data yetNo major risk signals from current metadataNo OpenAgentSkill engagement data yetNo 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 signalsBrowser automation 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
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Install
$ npx skills add bentoml/OpenLLM
$ npx skills add comet-ml/opik
$ npx skills add bentoml/BentoML
$ npx skills add langfuse/langfuse