Skill audit report
Bayesian modeling with PyMC 5: priors, likelihood, NUTS/ADVI sampling, diagnostics (R-hat, ESS), LOO/WAIC comparison, prediction. Hierarchical, logistic, GP variants; predictive checks.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
359 GitHub stars
Stars/forks activity
WARN57
359 stars, 35 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
15d since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO62
command execution surface, external package install surface
Install availability
PASS92
npx skills add jaechang-hits/SciAgent-Skills --skill pymc-bayesian-modeling
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO76
shell or command execution
Repository evidence
PASS86
https://github.com/jaechang-hits/SciAgent-Skills/tree/main/skills/biostatistics/pymc-bayesian-modeling
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add jaechang-hits/SciAgent-Skills --skill pymc-bayesian-modeling
Repository
88
https://github.com/jaechang-hits/SciAgent-Skills/tree/main/skills/biostatistics/pymc-bayesian-modeling
License
86
Apache-2.0
Maintenance
100
15d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
Usable description available
Dependency risk
62
command execution surface, external package install surface
Install command safety
92
standard package or runtime install path
Permission surface
76
shell or command execution
Stars/forks activity
57
359 stars, 35 forks; issue activity unavailable in current metadata
Adoption
68
359 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Warnings
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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