OpenAgentSkill
GitHub200+

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

Keras is the strongest overall pick here because it has a 100/100 readiness score and fits Browser automation.

Strongest overall

Keras

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

Fastest prototype

Keras

Best first install candidate based on install readiness and adoption.

Freshest repo

Onnxruntime

Most recent maintenance signal among this shortlist.

SignalMl Agents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

Keras

Deep Learning for humans

Onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Nndl

邱锡鹏《神经网络与深度学习》（蒲公英书）理论书 v2 与通识版

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.

Adoption19K stars
Verified outcomes are shown on each skill page
64K stars
Verified outcomes are shown on each skill page
21K stars
Verified outcomes are shown on each skill page
19K stars
Verified outcomes are shown on each skill page
FreshnessJun 12, 2026Jun 12, 2026Jun 16, 2026Jun 1, 2026
Use-case fit
Browser automationResearch agentsWorkflow automation
Browser automationWorkflow automationSports analytics
Browser automationWorkflow automationMultimodal media
Coding agentsBrowser automationWorkflow automation
Workflow fit
Content growth agentResearch report agent
Content growth agentBrowser QA agent
Content growth agentBrowser QA agent
Content growth agentCoding review agent
Platform hintsC#, Machine Learning, Claude CodePython, Machine Learning, Claude CodeC++, Machine Learning, Claude CodeMachine Learning, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forBrowser automation workflows · Claude Code teams · teams that value GitHub adoption signalsBrowser automation 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 Unity-Technologies/ml-agents
$ npx skills add keras-team/keras
$ npx skills add microsoft/onnxruntime
$ npx skills add nndl/nndl