Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
amc-run-sample-calibration
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
amc-run-sample-calibration
Best first install candidate based on install readiness and adoption.
Freshest repo
amc-run-sample-calibration
Most recent maintenance signal among this shortlist.
| Signal | amc-run-sample-calibration Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'. |
|---|---|
| Quality | 82/100 Strong |
| Decision verdict | 93/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 3.2K stars Verified outcomes are shown on each skill page |
| Freshness | Sep 1, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Claude Code, OpenAI Agents, Cursor, Browser agents |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | Local desktop workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add NVIDIA/skills --skill amc-run-sample-calibration |