Skill audit report

medical-imaging-review Audit report.

Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for "review paper", "survey", "literature review", "综述", "systematic review", or mentions of writing academic reviews on deep learning for medical imaging.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Oct 21, 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

867 GitHub stars

Stars/forks activity

INFO

867 stars, 75 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

3mo 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

Install availability

PASS

npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-review

Install command safety

PASS

standard package or runtime install path

Permission surface

INFO

shell or command execution, filesystem or document access

Repository evidence

PASS

https://github.com/LeonChaoX/qinyan-academic-skills/tree/main/skills/02-科学写作与学术交流/medical-imaging-review

Review status

INFO

AI review data available

Agent Proven outcomes

INFO

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 8 Needs review

Install path

PASS

npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-review

Repository

PASS

https://github.com/LeonChaoX/qinyan-academic-skills/tree/main/skills/02-科学写作与学术交流/medical-imaging-review

License

PASS

MIT

Maintenance

CHECK

3mo since push

AI review

CHECK

The skill relies on external MCP servers (ArXiv, PubMed, Zotero) which may not be available in all environments; no fallback strategy is described.

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

CHECK

command execution surface

Install command safety

PASS

standard package or runtime install path

Permission surface

CHECK

shell or command execution, filesystem or document access

Stars/forks activity

CHECK

867 stars, 75 forks; issue activity unavailable in current metadata

Adoption

PASS

867 GitHub stars

Warnings

The skill relies on external MCP servers (ArXiv, PubMed, Zotero) which may not be available in all environments; no fallback strategy is described.
The SKILL.md references 'CLAUDE.md' which is Claude-specific, but the skill is intended for general agent use; this could be clarified.
Quality score needs review

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 LeonChaoX/qinyan-academic-skills --skill medical-imaging-review

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: 71/100
Trust: 69/100
Install safety: 92/100
Permission surface: 62/100
Maintenance: 3mo since push
Events: 21 events
GitHub stars: 867
Last push: Jul 20, 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
The skill relies on external MCP servers (ArXiv, PubMed, Zotero) which may not be available in all environments; no fallback strategy is described.

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