headroom copilot-instructions.md

A set of pull-request review rules for the Headroom repository, the code project hosted at headroomlabs-ai/headroom.

In plain words
What is it for?
Use it when reviewing pull requests, especially changes involving users, releases, dependencies, workflows, or security.
Why use it?
It helps reviewers judge whether a change includes concrete proof that it works, along with the required tests and runtime checks.

Instructions file for GitHub Copilot

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/headroomlabs-ai/headroom/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/headroomlabs-ai/headroom

Made for: GitHub Copilot.

Per session 138 This file is loaded in full into every session.
When invoked 138 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 $0.00138 $0.00138
Opus 5 $0.00069 $0.00069
Sonnet 5 $0.00028 $0.00028
Haiku 4.5 $0.00014 $0.00014

Measured yesterday against content hash ded6a77597b9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

headroom copilot-instructions.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 yesterday.

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.

.github/copilot-instructions.md · 8 lines

What it actually says

When performing a pull request review in this repository:

  1. Treat .github/PULL_REQUEST_TEMPLATE.md and CONTRIBUTING.md as required policy, not optional guidance.
  2. Flag pull requests that do not include concrete "Real Behavior Proof" with environment, exact commands or steps, observed result, and what was not tested.
  3. Be strict about contributor verification: missing tests, missing runtime evidence, or placeholder PR text should be called out.
  4. For user-facing, release, dependency, workflow, or security-sensitive changes, prefer blocking feedback over optional suggestions.
  5. Focus on correctness, safety, and whether the PR is actually ready for human maintainer review.
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. yesterday First seen · 8 lines · 138 tokens per session scan A ded6a77597b9

Subscribe to this mod's changes

headroom copilot-instructions.md is an instructions file published in the GitHub repository headroomlabs-ai/headroom (68,175 stars, last pushed today), licensed Apache-2.0. It adds 138 tokens to every session, about $0.0007 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 2026-08-30.