llm-coding-guidelines

llm-coding-guidelines is a skill for Claude Code, Codex from mertso13/gemini-skill-karpathy-coding. It costs 30 tokens per session (551 once invoked), scanned A, a copy of karpathy-guidelines, MIT.

Coding guidelines for an AI agent based on senior-engineering practices, such as stating assumptions, choosing simple solutions, and making focused edits.

In plain words
What is it for?
Use them to guide an agent during implementation and code changes, alongside instructions specific to your project.
Why use it?
They reduce common AI coding mistakes, including guessing, overengineering, and changing unrelated code. They also make uncertainty and tradeoffs visible before work begins.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/mertso13/gemini-skill-karpathy-coding/llm-coding-guidelines
Any agent
npx skills add mertso13/gemini-skill-karpathy-coding --skill llm-coding-guidelines
Clone the repo
git clone --depth 1 https://github.com/mertso13/gemini-skill-karpathy-coding

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 llm-coding-guidelines

README.md
[![agentmods](https://agentmods.dev/badge/skills/mertso13/gemini-skill-karpathy-coding/llm-coding-guidelines.svg)](https://agentmods.dev/skills/mertso13/gemini-skill-karpathy-coding/llm-coding-guidelines)
Your own site
<a href="https://agentmods.dev/skills/mertso13/gemini-skill-karpathy-coding/llm-coding-guidelines"><img src="https://agentmods.dev/badge/skills/mertso13/gemini-skill-karpathy-coding/llm-coding-guidelines.svg" alt="Measured on agentmods" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 551 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 84% 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 $0.00030 $0.00551
Opus 5 $0.00015 $0.00275
Sonnet 5 $0.00006 $0.00110
Haiku 4.5 $0.00003 $0.00055

Measured 4d ago against content hash 7bf092aa3f1f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

llm-coding-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 4d 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

84% identical to karpathy-guidelines — 13 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.

llm-coding-guidelines/SKILL.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Behavioral guidelines to reduce common LLM coding mistakes. Merge with project-specific instructions as needed.

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 · 69 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. 4d ago First seen · 69 lines · 30 tokens per session scan A 7bf092aa3f1f

Subscribe to this mod's changes

llm-coding-guidelines is a skill published in the GitHub repository mertso13/gemini-skill-karpathy-coding (1 stars, last pushed 3mo ago), licensed MIT. It adds 30 tokens to every session and 551 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to karpathy-guidelines, differing in 13 lines, and is treated as a copy.

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