Skill audit report

andrew-ng Audit report.

Applies the reasoning, principles, and frameworks of Andrew Ng (machine learning pioneer, co-founder of Coursera and DeepLearning.AI, Stanford University, and former Google Brain lead). Use this skill whenever the user is navigating AI application development, agentic workflows, automation strategy, AI-native software engineering, or rapid prototyping. Trigger this skill when discussing career advice in the AI era, evaluating AI regulations, structuring machine learning projects, or deciding how to integrate AI into a business. It emphasizes task-based automation, data-centric ML, and driving the cost of proof-of-concepts to zero.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Nov 7, 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

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

INFO

credential or environment access, network or browser surface

Install availability

PASS

npx skills add K-Dense-AI/mimeographs --skill andrew-ng

Install command safety

PASS

standard package or runtime install path

Permission surface

WARN

secrets or environment access, network or browser access

Repository evidence

PASS

https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/andrew-ng

Review status

INFO

AI review data available

Agent Proven outcomes

INFO

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 11 Needs review

Install path

PASS

npx skills add K-Dense-AI/mimeographs --skill andrew-ng

Repository

PASS

https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/andrew-ng

License

PASS

MIT

Maintenance

PASS

3mo since push

AI review

CHECK

The SKILL.md contains some duplication between core principles, mental models, and anti-patterns (e.g., the electric motor analogy appears multiple times), which could be streamlined to reduce context bloat.

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

CHECK

credential or environment access, network or browser surface

Install command safety

PASS

standard package or runtime install path

Permission surface

CHECK

secrets or environment access, network or browser access

Stars/forks activity

FIX

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

Adoption

INFO

122 GitHub stars

Warnings

Permission surface may require sandboxing
The SKILL.md contains some duplication between core principles, mental models, and anti-patterns (e.g., the electric motor analogy appears multiple times), which could be streamlined to reduce context bloat.
The frameworks section lacks explicit source citations, though the critique notes they are available in the corpus; adding them would strengthen traceability.
Quality score needs review
Permission surface needs review: secrets or environment access, network or browser access
Stars/forks activity: 122 stars, 18 forks; issue activity unavailable in current metadata
Permission surface: secrets or environment access, network or browser 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 K-Dense-AI/mimeographs --skill andrew-ng

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: 74/100
Quality: 65/100
Trust: 67/100
Install safety: 92/100
Permission surface: 60/100
Maintenance: 3mo since push
Events: 17 events
GitHub stars: 122
Last push: Aug 18, 2026

Agent safety v2

50/100 · 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: Secrets or environment access
50/100 agent safety score

Network access

medium

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

Secrets or environment access

high

Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.

High-risk permission hints: Secrets or environment access
Permission surface may require sandboxing

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