Skill audit report
andrej-karpathy Audit report.
Applies the mental models and frameworks of Andrej Karpathy (deep learning, former Director of AI at Tesla, founding member of OpenAI, Eureka Labs). Use this skill whenever you are helping the user build neural networks from scratch, debug deep learning pipelines, evaluate AI agent workflows, design LLM apps, or navigate the transition to Software 3.0 (vibe coding). It is highly relevant for pedagogy (untangling complex knowledge), assessing AI capabilities vs. limitations (jagged intelligence, tokenization limits), and architectural decisions (end-to-end optimization vs. complex pipelines). Reach for this whenever discussing LLM training, autonomous systems, or AI-assisted coding.
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
122 GitHub stars
Stars/forks activity
WARN57
122 stars, 18 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
3mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO72
credential or environment access
Install availability
PASS92
npx skills add K-Dense-AI/mimeographs --skill andrej-karpathy
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN46
secrets or environment access, filesystem or document access
Repository evidence
PASS86
https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/andrej-karpathy
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add K-Dense-AI/mimeographs --skill andrej-karpathy
Repository
88
https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/andrej-karpathy
License
86
MIT
Maintenance
88
3mo since push
AI review
55
SKILL.md references `references/principles.md` and `references/mental-models.md`, but these files are not present in the submitted skill directory.
README/SKILL.md completeness
84
Usable description available
Dependency risk
72
credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
46
secrets or environment access, filesystem or document access
Stars/forks activity
57
122 stars, 18 forks; issue activity unavailable in current metadata
Adoption
68
122 GitHub stars
Warnings
- Permission surface may require sandboxing
- SKILL.md references `references/principles.md` and `references/mental-models.md`, but these files are not present in the submitted skill directory.
- The skill does not document explicit limitations or safe operating boundaries, though it is a mental-model/persona skill rather than a tool-executing workflow.
- The submission includes internal `_workspace` artifacts (critique files, generated JSON) that are not part of the skill itself and add clutter.
- Quality score needs review
- Permission surface needs review: secrets or environment access, filesystem or document access
- Stars/forks activity: 122 stars, 18 forks; issue activity unavailable in current metadata
- Permission surface: secrets or environment access, 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.
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