Skill audit report
prior-elicitation Audit report.
Elicit and check Bayesian prior assumptions in meaningful units. Use for expert quantiles, PreliZ, constrained priors, prior-predictive plausibility and prior sensitivity, including power scaling, regularized horseshoe and R2D2 assumptions.
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
PASS100
25d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add pymc-labs/pymc-modeling --skill prior-elicitation
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
network or browser access
Repository evidence
PASS86
https://github.com/pymc-labs/pymc-modeling/tree/main/skills/prior-elicitation
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 prior-elicitation
Repository
88
https://github.com/pymc-labs/pymc-modeling/tree/main/skills/prior-elicitation
License
86
MIT
Maintenance
100
25d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
82
network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
86
network or browser access
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.
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