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llms.txtA

llms.txt from apertur3/headroom is an llms.txt file: plain text a project publishes for AI models to read.

Install it, pinned
mdr add apertur3/headroom/llms.txt@git:20261017.7bcaeec

Pins git:20261017.7bcaeec in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 14 of 14 checks passed
Kind
llms.txt file
Repository
apertur3/headroom
Path
llms.txt
Versions recorded
1
Latest version
git:20261017.7bcaeec, committed Oct 17, 2026
Size
2,497 bytes
Repository stars
16
License
a license file GitHub does not identify

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Headroom

> Headroom (npm package `headroomd`) is a local daemon, CLI and MCP server that reads the quota meters of AI subscriptions (Claude, Codex, Kimi, Grok, experimental Antigravity) and local vLLM or llama.cpp pools. Agents ask it before starting work and get go, wait or reroute; a stale or failed reading is reported as UNKNOWN, never a number. It runs locally with no telemetry.

## Start here

- [README](https://github.com/Apertur3/headroom/blob/master/README.md): what it does, install, the block of instructions to give agents, design principles
- [Quickstart](https://github.com/Apertur3/headroom/blob/master/docs/quickstart.md): install to first truthful line on macOS, Linux and Windows
- [Concepts](https://github.com/Apertur3/headroom/blob/master/docs/concepts.md): principal, meter, window, observation, pace states, leases, events
- [Design overview](https://github.com/Apertur3/headroom/blob/master/DESIGN.md): architecture and where to start reading the code

## Reference

- [MCP and agents](https://github.com/Apertur3/headroom/blob/master/docs/mcp-and-agents.md): the MCP tools, example calls, how an orchestrator should use them
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add apertur3/headroom/llms.txt@sha256:eb5e2190c25316d8

The line at the top of this page pins the label git:20261017.7bcaeec, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_e4xqp5ept3ahrhfy.svg)](https://markdownregistry.com/a/art_e4xqp5ept3ahrhfy)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Oct 17, 2026.

versioncommittedcommitsizeaudit
git:20261017.7bcaeec latest2026-10-17 7bcaeec 2,497 BA view

Audit of the latest version

A  14 of 14 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Size between 200 bytes and 200 KB (2497 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

apertur3/headroom · 16 stars · license a license file GitHub does not identify · pushed 2026-11-03 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_e4xqp5ept3ahrhfy
GET https://markdownregistry.com/api/v1/resolve?ref=apertur3/headroom/llms.txt
GET https://markdownregistry.com/api/v1/blob/eb5e2190c25316d83927382b0eb88f00c2c5b0a967856cfac52eecfa60a30384

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: how to add an llms.txt file to a website · which agent file does what.

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