aitxt CLAUDE.md

Repository-specific instructions for working on aitxt, a specification and documentation project for files that describe how AI tools may access a website.

In plain words
What is it for?
Use them when editing the aitxt specification, documentation site, repository files, or related Claude Code tooling.
Why use it?
They explain the repository layout and how its Claude Code tooling and project skill should be used.

Instructions file

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 instructions/markc/aitxt/claude-md
Clone the repo
git clone --depth 1 https://github.com/markc/aitxt
Per session 449 This file is loaded in full into every session.
When invoked 449 The same file — it is already loaded in full.
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 $0.00449 $0.00449
Opus 5 $0.00225 $0.00225
Sonnet 5 $0.00090 $0.00090
Haiku 4.5 $0.00045 $0.00045

Measured 2d ago against content hash e16532b39629, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

aitxt CLAUDE.md 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 2d 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.

CLAUDE.md · 54 lines

What it actually says

CLAUDE.md

Guidance for Claude Code when working in this repository.

Repository

This repository hosts the ai.txt specification at https://aitxt.ing.

/
├── index.html                  # Documentation site
├── ai.txt                      # Canonical specification
├── llms.txt                    # Pointer to the spec for llms.txt-aware tools
├── robots.txt                  # Content-Signal + sitemap
├── sitemap.xml
├── README.md                   # GitHub entry point
├── CNAME                       # Domain config
├── LICENSE                     # CC0 public domain
└── .claude/skills/aitxt/
    ├── SKILL.md                # Claude Code /aitxt skill
    └── aitxt                   # Discovery script (bash), bundled with the skill

Claude Code Tooling

The /aitxt skill discovers and displays ai.txt files. It is a project skill, so it is available automatically when Claude Code runs inside this repo. To have it everywhere, copy the skill directory into your user skills:

cp -r .claude/skills/aitxt ~/.claude/skills/

The skill calls its bundled script via ${CLAUDE_SKILL_DIR}/aitxt; nothing else needs installing. Restart Claude Code to load it.

Usage

/aitxt                      # Current directory
/aitxt ~/Dev/myproject      # Local path
/aitxt https://example.com  # Remote URL

The script cascades up the directory/URL tree to find ai.txt, follows linked ai.txt files (depth=1), and displays a graph of discovered contexts.

Editing Guidelines

  • The canonical spec is /ai.txt — keep it minimal and self-contained
  • No markdown links to external ai.txt files in the spec (tools auto-follow any [..](..ai.txt) link); bare backticked paths are fine
  • Documentation belongs in index.html, not the spec
  • All frontmatter fields remain optional
  • Bump updated: in ai.txt and lastmod in sitemap.xml when the spec changes
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. 2d ago First seen · 54 lines · 449 tokens per session scan A e16532b39629

Subscribe to this mod's changes

aitxt CLAUDE.md is an instructions file published in the GitHub repository markc/aitxt (5 stars, last pushed 8d ago), licensed CC0-1.0. It adds 449 tokens to every session, about $0.0022 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.

Related

Other instructions, from other repositories

modelcontextprotocol AGENTS.md

AGENTS.md instructions for modelcontextprotocol/modelcontextprotocol, covering model context protocol (mcp), contribution policy for ai agents, documentation structure, documentation guidelines and specification versioning.

modelcontextprotocol/modelcontextprotocol · 1,061 tokens

modelcontextprotocol CLAUDE.md

Claude Code instructions for modelcontextprotocol/modelcontextprotocol, a project described as: Specification and documentation for the Model Context Protocol.

modelcontextprotocol/modelcontextprotocol · 3 tokens

adl AGENTS.md

Instructions for inference-gateway/adl, covering agents.md, commands, schema versioning contract — the most important rule, style and testing.

inference-gateway/adl · 799 tokens

agentnative AGENTS.md

AGENTS.md instructions for brettdavies/agentnative, covering agent instructions, project, authoritative content, voice and editing principles.

brettdavies/agentnative · 2,461 tokens

adl CLAUDE.md

Instructions for inference-gateway/adl, a project described as: A declarative language for defining AI agents, their capabilities, skills and tools. ADL simplifies agent development by generating consistent, enterprise-ready code from a single manifest. Build faster. Deploy smarter. Stay consistent.

inference-gateway/adl · 3 tokens

spec-kit AGENTS.md

AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.

github/spec-kit · 7,104 tokens