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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 1 skill

Use this as a shortlist, then open the skill detail page before adopting.

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Decision summary

Ur5 ROS Gazebo is the strongest overall pick here because it has a 50/100 readiness score and fits Coding agents.

Strongest overall

Ur5 ROS Gazebo

Do a manual repository review before adding this to an agent workflow.

Fastest prototype

Ur5 ROS Gazebo

Best first install candidate based on install readiness and adoption.

Freshest repo

Ur5 ROS Gazebo

Most recent maintenance signal among this shortlist.

SignalUr5 ROS Gazebo

Universal Robot (UR5) Pick and Place Simulation in ROS-Gazebo with a USB Cam and Vacuum Grippers

Quality
48/100
Needs review
Decision verdict
50/100
Needs manual review

Do a manual repository review before adding this to an agent workflow.

Adoption509 stars
0 installs
FreshnessNov 19, 2021
Use-case fit
Coding agentsRAG and knowledgeWorkflow automation
Workflow fit
Content growth agentCoding review agent
Platform hintsPython, ROS, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best forCoding agents workflows · Claude Code teams · teams that value GitHub adoption signals
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The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add lihuang3/ur5_ROS-Gazebo