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.
Decision summary
Cherry Autonomous Racecar is the strongest overall pick here because it has a 41/100 readiness score and fits Coding agents.
Strongest overall
Cherry Autonomous Racecar
Do a manual repository review before adding this to an agent workflow.
Fastest prototype
Cherry Autonomous Racecar
Best first install candidate based on install readiness and adoption.
Freshest repo
Cherry Autonomous Racecar
Most recent maintenance signal among this shortlist.
| Signal | Cherry Autonomous Racecar Implementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS |
|---|---|
| Quality | 51/100 Needs review |
| Decision verdict | 41/100 Needs manual review Do a manual repository review before adding this to an agent workflow. |
| Adoption | 322 stars 0 installs |
| Freshness | Mar 28, 2017 |
| Use-case fit | |
| Stack fit | |
| Platform hints | Python, ROS, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · builders willing to evaluate younger projects |
| Not ideal for | teams that require actively maintained dependencies · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add DJTobias/Cherry-Autonomous-Racecar |