Skill audit report

clean-data Audit report.

Interactive data profiling and cleaning assistant for medical research. Three-stage workflow (profile, flag, code-generate) with user approval gates at each step. Handles missing values, outliers, duplicates, and type mismatches in CSV/Excel clinical data. Does NOT auto-clean — all decisions require researcher confirmation.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Nov 5, 2026Heuristic metadata audit

Audit

Trust

Quality

Security

Maintain

Install

OpenAgentSkill Trust Score

Manual review

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

INFO

291 GitHub stars

Stars/forks activity

INFO

291 stars, 71 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

2mo since push

License clarity

PASS

MIT

README/SKILL.md completeness

INFO

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

INFO

command execution surface, network or browser surface

Install availability

PASS

npx skills add Aperivue/medsci-skills --skill clean-data

Install command safety

PASS

standard package or runtime install path

Permission surface

WARN

shell or command execution, filesystem or document access

Repository evidence

PASS

https://github.com/Aperivue/medsci-skills/tree/main/skills/clean-data

Review status

INFO

AI review data available

Agent Proven outcomes

INFO

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 10 Needs review

Install path

PASS

npx skills add Aperivue/medsci-skills --skill clean-data

Repository

PASS

https://github.com/Aperivue/medsci-skills/tree/main/skills/clean-data

License

PASS

MIT

Maintenance

PASS

2mo since push

AI review

CHECK

The SKILL.md references a `/deidentify` skill that may not be available in the same repository; ensure it is present or provide a fallback for PHI handling.

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

CHECK

command execution surface, network or browser surface

Install command safety

PASS

standard package or runtime install path

Permission surface

FIX

shell or command execution, filesystem or document access

Stars/forks activity

CHECK

291 stars, 71 forks; issue activity unavailable in current metadata

Adoption

INFO

291 GitHub stars

Warnings

Permission surface may require sandboxing
The SKILL.md references a `/deidentify` skill that may not be available in the same repository; ensure it is present or provide a fallback for PHI handling.
The SKILL.md description mentions 'Categorical-implied zeros' but the excerpt is truncated; verify the full description is included in the final SKILL.md.
Quality score needs review
Permission surface needs review: shell or command execution, filesystem or document access
Permission surface: shell or command execution, filesystem or document access

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.

Install path

Review the report before installing into production agents.

$ npx skills add Aperivue/medsci-skills --skill clean-data

Agent-readable metadata

Machine decision packet

Embedded JSON exposes suited tasks, suited agents, install command, trust score, safety gate, alternatives, and do-not-use conditions for agent review.

Install policy: review
Best agents: Codex + Claude Code
Alternatives: 3

Open agent JSON

Signals

Audit score: 75/100
Quality: 69/100
Trust: 67/100
Install safety: 92/100
Permission surface: 48/100
Maintenance: 2mo since push
Events: 18 events
GitHub stars: 291
Last push: Sep 7, 2026

Agent safety v2

47/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

High-risk permission hints: Shell or command execution
47/100 agent safety score

Shell or command execution

high

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

Network access

medium

Skill likely fetches remote pages, APIs, repositories, or external services.

Filesystem access

medium

Skill may read or write project files, documents, generated artifacts, or local workspace state.

High-risk permission hints: Shell or command execution
Permission surface may require sandboxing

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