Skill audit report
mlops-observability Audit report.
Make an ML system a glass box with reproducible runs, MLflow dataset lineage, drift monitoring, alerting, and SHAP explanations. Use when a deployed model needs traceability, monitoring, alerting, or explanation.
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
22 GitHub stars
Stars/forks activity
FAIL32
22 stars, 4 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
24d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN54
credential or environment access, external package install surface
Install availability
PASS92
npx skills add MLOps-Courses/mlops-coding-skills --skill mlops-observability
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN48
secrets or environment access, filesystem or document access
Repository evidence
PASS86
https://github.com/MLOps-Courses/mlops-coding-skills/tree/main/mlops-observability
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add MLOps-Courses/mlops-coding-skills --skill mlops-observability
Repository
88
https://github.com/MLOps-Courses/mlops-coding-skills/tree/main/mlops-observability
License
86
MIT
Maintenance
100
24d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
54
credential or environment access, external package install surface
Install command safety
92
standard package or runtime install path
Permission surface
48
secrets or environment access, filesystem or document access
Stars/forks activity
32
22 stars, 4 forks; issue activity unavailable in current metadata
Adoption
42
22 GitHub stars
Warnings
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Low GitHub adoption signal
- AI review approval is missing
- Quality score needs review
- Permission surface needs review: secrets or environment access, filesystem or document access
- GitHub adoption: 22 GitHub stars
- Stars/forks activity: 22 stars, 4 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: credential or environment access, external package install surface
- Permission surface: secrets or environment access, filesystem or document access
- Review status: AI review approval is missing
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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