Skill audit report
arviz-diagnostics Audit report.
Diagnose existing Bayesian inference output and evaluate fitted predictions with modern ArviZ DataTree summaries, divergences, rank R-hat, ESS and Monte Carlo precision. Use for posterior predictive checks, calibration, LOO/ELPD, Pareto k, stacking, grouped or temporal validation, survival diagnostics and Bayes-factor interpretation.
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
WARN48
85 GitHub stars
Stars/forks activity
WARN48
85 stars, 10 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add pymc-labs/pymc-modeling --skill arviz-diagnostics
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS100
no high-risk permission surface in public metadata
Repository evidence
PASS86
https://github.com/pymc-labs/pymc-modeling/tree/main/skills/arviz-diagnostics
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 pymc-labs/pymc-modeling --skill arviz-diagnostics
Repository
88
https://github.com/pymc-labs/pymc-modeling/tree/main/skills/arviz-diagnostics
License
86
MIT
Maintenance
88
2mo since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
100
no high-risk permission surface in public metadata
Stars/forks activity
48
85 stars, 10 forks; issue activity unavailable in current metadata
Adoption
68
85 GitHub stars
Warnings
- AI review approval is missing
- Quality score needs review
- GitHub adoption: 85 GitHub stars
- Stars/forks activity: 85 stars, 10 forks; issue activity unavailable in current metadata
- 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.
Compare nearby options