Skill audit report
Interactive sample size calculator for medical research. Decision-tree guided test selection, reproducible R/Python code, effect size interpretation, and IRB-ready justification text. Supports diagnostic accuracy, agreement, proportions, continuous outcomes, survival, ANOVA, logistic regression, and non-inferiority/equivalence designs.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
291 GitHub stars
Stars/forks activity
INFO62
291 stars, 71 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
10d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add Aperivue/medsci-skills --skill calc-sample-size
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO76
shell or command execution
Repository evidence
PASS86
https://github.com/Aperivue/medsci-skills/tree/main/skills/calc-sample-size
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add Aperivue/medsci-skills --skill calc-sample-size
Repository
88
https://github.com/Aperivue/medsci-skills/tree/main/skills/calc-sample-size
License
86
MIT
Maintenance
100
10d since push
AI review
55
The skill uses Bash, which could be risky if the model executes arbitrary user-provided commands. The SKILL.md excerpt does not explicitly state that only generated code should be run.
README/SKILL.md completeness
86
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
76
shell or command execution
Stars/forks activity
62
291 stars, 71 forks; issue activity unavailable in current metadata
Adoption
68
291 GitHub stars
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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