model-monitor
model-monitor is an MLOps & model serving skill for AI agents, published by RHEcosystemAppEng in the agentic-plugins repository on GitHub. Skillspace rates model-monitor D (69/100) and it passed the safety scan; the rating is based on static analysis only.
Configure TrustyAI model monitoring for bias detection and data drift on deployed InferenceServices. Use when: - "Monitor my model for bias" - "Set up drift detection on my inference endpoint" - "Configure TrustyAI for my deployed model" - "Check if my model has fairness issues" - "I need SPD / DIR metrics for my model" Handles TrustyAIService deployment, bias metric configuration (SPD, DIR), drift metric configuration (MeanShift, FourierMMD, KS-Test, Jensen-Shannon), threshold tuning, and monitoring validation. NOT for deploying models (use /model-deploy first). NOT for input/output content safety guardrails (use /guardrails-config). NOT for infrastructure-level observability (use /ai-observability).
- Grade
- D
- Quality
- 69 / 100
- Safety
- Passed
- GitHub stars
- 44
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 78 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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