karpathy-guidelines

karpathy-guidelines is a skill for Claude Code, Codex from thangchung/agent-engineering-experiment. It costs 46 tokens per session (565 once invoked), scanned A, a copy of andrej-karpathy, MIT.

Behavior guidelines for coding agents based on common mistakes in AI-assisted programming. They emphasize simple solutions, small targeted edits, clear assumptions, and checkable results.

In plain words
What is it for?
Writing, reviewing, or refactoring code while avoiding overengineering, speculative features, hidden assumptions, and changes outside the requested scope.
Why use it?
They reduce unnecessary changes and make the agent explain uncertainty before it commits to an interpretation.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Writing, reviewing, or refactoring code while avoiding overengineering, speculative features, hidden assumptions, and changes outside the requested scope.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/thangchung/agent-engineering-experiment/karpathy-guidelines
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add thangchung/agent-engineering-experiment --skill karpathy-guidelines
Clone the repo
git clone --depth 1 https://github.com/thangchung/agent-engineering-experiment

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for karpathy-guidelines

README.md
[![agentmods](https://agentmods.dev/badge/skills/thangchung/agent-engineering-experiment/karpathy-guidelines.svg)](https://agentmods.dev/skills/thangchung/agent-engineering-experiment/karpathy-guidelines)
Your own site
<a href="https://agentmods.dev/skills/thangchung/agent-engineering-experiment/karpathy-guidelines"><img src="https://agentmods.dev/badge/skills/thangchung/agent-engineering-experiment/karpathy-guidelines.svg" alt="Measured on agentmods" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 565 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 91% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00046 $0.00565
Opus 5 $0.00023 $0.00282
Sonnet 5 $0.00009 $0.00113
Haiku 4.5 $0.00005 $0.00056

Measured 7d ago against content hash 33deac5b92db, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

karpathy-guidelines scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

91% identical to andrej-karpathy — 69 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

DotNetClaw/.github/skills/karpathy-guidelines/SKILL.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Karpathy Guidelines

Behavioral guidelines to reduce common LLM coding mistakes, derived from Andrej Karpathy's observations on LLM coding pitfalls.

Tradeoff: These guidelines bias toward caution over speed. For trivial tasks, use judgment.

1. Think Before Coding

Don't assume. Don't hide confusion. Surface tradeoffs.

Before implementing:

  • State your assumptions explicitly. If uncertain, ask.
  • If multiple interpretations exist, present them - don't pick silently.
  • If a simpler approach exists, say so. Push back when warranted.
  • If something is unclear, stop. Name what's confusing. Ask.

2. Simplicity First

Minimum code that solves the problem. Nothing speculative.

  • No features beyond what was asked.
  • No abstractions for single-use code.
  • No "flexibility" or "configurability" that wasn't requested.
  • No error handling for impossible scenarios.
  • If you write 200 lines and it could be 50, rewrite it.

Ask yourself: "Would a senior engineer say this is overcomplicated?" If yes, simplify.

3. Surgical Changes

Touch only what you must. Clean up only your own mess.

When editing existing code:

  • Don't "improve" adjacent code, comments, or formatting.
  • Don't refactor things that aren't broken.
  • Match existing style, even if you'd do it differently.
  • If you notice unrelated dead code, mention it - don't delete it.

When your changes create orphans:

  • Remove imports/variables/functions that YOUR changes made unused.
  • Don't remove pre-existing dead code unless asked.

The test: Every changed line should trace directly to the user's request.

4. Goal-Driven Execution

Define success criteria. Loop until verified.

Transform tasks into verifiable goals:

  • "Add validation" → "Write tests for invalid inputs, then make them pass"
  • "Fix the bug" → "Write a test that reproduces it, then make it pass"
  • "Refactor X" → "Ensure tests pass before and after"

For multi-step tasks, state a brief plan:

1. [Step] → verify: [check]
2. [Step] → verify: [check]
3. [Step] → verify: [check]

Read the full file on GitHub · 67 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 67 lines · 46 tokens per session scan A 33deac5b92db

Subscribe to this mod's changes

karpathy-guidelines is a skill published in the GitHub repository thangchung/agent-engineering-experiment (24 stars, last pushed 1mo ago), licensed MIT. It adds 46 tokens to every session and 565 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to andrej-karpathy, differing in 69 lines, and is treated as a copy.

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