create-llms-txt

create-llms-txt is a skill for Claude Code, Codex from urmzd/dotfiles. It costs 68 tokens per session (1,258 once invoked), scanned A, original, Apache-2.0.

A generator for llms.txt, a Markdown file that gives AI systems a compact map of a project and its important documentation.

In plain words
What is it for?
Use it when creating or updating an llms.txt file. It examines project files, documentation, and public URLs, then organizes useful links into the required format.
Why use it?
It makes a project easier for language models to understand without requiring them to inspect the whole codebase first.

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/urmzd/dotfiles/create-llms-txt
Any agent
npx skills add urmzd/dotfiles --skill create-llms-txt
Clone the repo
git clone --depth 1 https://github.com/urmzd/dotfiles

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 create-llms-txt

README.md
[![agentmods](https://agentmods.dev/badge/skills/urmzd/dotfiles/create-llms-txt.svg)](https://agentmods.dev/skills/urmzd/dotfiles/create-llms-txt)
Your own site
<a href="https://agentmods.dev/skills/urmzd/dotfiles/create-llms-txt"><img src="https://agentmods.dev/badge/skills/urmzd/dotfiles/create-llms-txt.svg" alt="Measured on agentmods" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,258 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00068 $0.01258
Opus 5 $0.00034 $0.00629
Sonnet 5 $0.00014 $0.00252
Haiku 4.5 $0.00007 $0.00126

Measured 5d ago against content hash 6d4cb8e5b7e7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

create-llms-txt 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 5d 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.

dot_agents/skills/create-llms-txt/SKILL.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Create llms.txt

Generate a high-quality, spec-compliant llms.txt that gives LLMs maximum understanding of a project with minimum tokens.

Spec (llmstxt.org)

The file uses markdown with this exact section order:

  1. H1 (required) project name
  2. Blockquote (optional) one-paragraph summary with key context
  3. Prose (optional) additional detail, any markdown except headings
  4. H2 sections (optional) lists of [name](url): description links
  5. ## Optional (special) links that can be skipped for shorter context

No other heading levels allowed. Every list entry must be a markdown hyperlink. Descriptions after : are optional.

# Project Name

> One-paragraph summary covering what it is, who it's for, and key capabilities.

## Docs

- [README](url): Installation, usage, examples
- [API Reference](url): Endpoint documentation

## Optional

- [CONTRIBUTING](url): How to contribute

Procedure

1. Discover project identity

Read these files (skip missing ones):

  • README.md name, summary, features
  • AGENTS.md architecture, key directories
  • package.json / Cargo.toml / pyproject.toml / go.mod name, description, repo URL
  • CHANGELOG.md exists? link it
  • CONTRIBUTING.md exists? link in Optional
  • LICENSE exists? link in Optional

Determine the repo base URL from git remote or manifest. All links must be absolute URLs pointing to the main branch (e.g. https://github.com/{owner}/{repo}/blob/main/{path}).

2. Identify key files

Scan for files that help an LLM understand the project:

  • Entry points (main.go, src/lib.rs, src/index.ts, app.py, etc.)
  • Public API surface (exported modules, route definitions, CLI entry)
  • Config files that define behavior (Justfile, Makefile, docker-compose.yml, pyproject.toml)
  • Schema definitions (OpenAPI, GraphQL, DB migrations)
  • Skills (skills/*/SKILL.md)

Limit to 6-10 key files. Prefer files that explain what the project does over internal implementation.

Read the full file on GitHub · 121 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. 5d ago First seen · 121 lines · 68 tokens per session scan A 6d4cb8e5b7e7

Subscribe to this mod's changes

create-llms-txt is a skill published in the GitHub repository urmzd/dotfiles (3 stars, last pushed 23d ago), licensed Apache-2.0. It adds 68 tokens to every session and 1,258 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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