Skill audit report

aviv-regev Audit report.

Applies the computational biology and AI-driven reasoning of Aviv Regev (computational biologist, Genentech, single-cell genomics). Use this skill whenever the user is dealing with experimental design, high-dimensional data analysis, integrating AI into scientific workflows, scaling biological research, or navigating noisy, complex systems. Trigger this for topics like single-cell genomics, drug discovery, biological atlases, interdisciplinary research strategy, or when deciding between depth vs. breadth in data collection.

REVIEWED · REVIEWNeeds reviewGenerated Nov 13, 2026Heuristic metadata audit

Audit

Trust

Quality

Security

Maintain

Install

OpenAgentSkill Trust Score

Strong shortlist

OpenAgentSkill Trust Score

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

GitHub adoption

INFO

122 GitHub stars

Stars/forks activity

WARN

122 stars, 18 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

3mo since push

License clarity

PASS

MIT

README/SKILL.md completeness

INFO

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

PASS

no major dependency risk hints in public metadata

Install availability

PASS

npx skills add K-Dense-AI/mimeographs --skill aviv-regev

Install command safety

PASS

standard package or runtime install path

Permission surface

PASS

100

no high-risk permission surface in public metadata

Repository evidence

PASS

https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/aviv-regev

Review status

INFO

AI review data available

Agent Proven outcomes

INFO

No agent outcome data yet

Checks

Install and adoption review

8 Passed · 6 Needs review

Install path

PASS

npx skills add K-Dense-AI/mimeographs --skill aviv-regev

Repository

PASS

https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/aviv-regev

License

PASS

MIT

Maintenance

PASS

3mo since push

AI review

CHECK

SKILL.md excerpt in the prompt is truncated, but the full file content shows a complete skill with core principles, mental models, frameworks, anti-patterns, and usage guidance.

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

PASS

no major dependency risk hints in public metadata

Install command safety

PASS

standard package or runtime install path

Permission surface

100

PASS

no high-risk permission surface in public metadata

Stars/forks activity

FIX

122 stars, 18 forks; issue activity unavailable in current metadata

Adoption

INFO

122 GitHub stars

Warnings

SKILL.md excerpt in the prompt is truncated, but the full file content shows a complete skill with core principles, mental models, frameworks, anti-patterns, and usage guidance.
No explicit 'Limitations' section in SKILL.md, though the skill's scope is well-defined.
Quality score needs review
Stars/forks activity: 122 stars, 18 forks; issue activity unavailable in current metadata

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 K-Dense-AI/mimeographs --skill aviv-regev

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: 76/100
Quality: 65/100
Trust: 72/100
Install safety: 92/100
Permission surface: 100/100
Maintenance: 3mo since push
Events: 22 events
GitHub stars: 122
Last push: Aug 18, 2026

Agent safety v2

64/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

SKILL.md excerpt in the prompt is truncated, but the full file content shows a complete skill with core principles, mental models, frameworks, anti-patterns, and usage guidance.
64/100 agent safety score

Network access

medium

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

SKILL.md excerpt in the prompt is truncated, but the full file content shows a complete skill with core principles, mental models, frameworks, anti-patterns, and usage guidance.

Back to skill Alternatives Audit badge SVG

Compare nearby options

Related skills to audit next

Last30days Skill

Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.

64K Stars · Audit report

Academic Research Skills

Academic Research Skills for Claude Code: research → write → review → revise → finalize

38K Stars · Audit report

mono-color

Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.

1.9K Stars · Audit report