About this skill
This skill monitors deployed model performance including prediction quality, data drift, concept drift, and inference latency. Use when asked to set up model monitoring, investigate prediction degradation, or configure drift detection. Also consider when a model runs in production without observability. Suggest when the user deploys a model without monitoring.
Quick start
- Copy the install prompt. Use the green button above this README.
- Send it to your agent. Paste it into your coding agent’s chat and send.
- Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.
Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.
0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1
Content SHA-256: ecd403f9861c27fdd2f7e3567b2869b8dbadd64a484d4cc26b5c620ce7b7fe73
About this listing
- Category
- General
- Reported license
- MIT
- Listing language (estimated)
- English
- Review status
- Not individually reviewed
- Agent compatibility
- Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.