cua: Instructions file for Codex

AGENTS.md

cua AGENTS.md is an instructions file for Codex, OpenCode from trycua/cua. It costs 2,621 tokens per session, scanned A, original, MIT.

A set of repository instructions for contributors and coding agents working on the Cua project, including how to preserve authorship and handle GitHub work.

In plain words
What is it for?
Guiding issue and pull-request work, contributor attribution, polling for maintainer tasks, and cross-platform Cua development.
Why use it?
It clarifies the project's contribution and review expectations so changes do not lose credit or bypass the intended workflow.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is trycua/cua's own configuration. It tells Codex and OpenCode how to work on cua itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything cua configures →

About the project

trycua/cua is a toolkit for building and testing AI agents that operate computers by seeing screens, clicking controls, and typing across operating systems and virtual machines. It serves agent developers, benchmark authors, and teams generating training data for computer-use models. Catalogue add-ons provide ways to operate Cua drivers and related agent workflows.

trycua/cua · 31,822 stars · on GitHub · cua.ai

Reuse

Borrowing it

Nothing to install: this file belongs to trycua/cua. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/trycua/cua/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/trycua/cua

Made for: Codex, OpenCode.

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 cua AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/trycua/cua/agents-md/github.svg)](https://agentmods.dev/instructions/trycua/cua/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/trycua/cua/agents-md"><img src="https://agentmods.dev/badge/instructions/trycua/cua/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for cua AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/trycua/cua/agents-md"><img src="https://agentmods.dev/badge/instructions/trycua/cua/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 2,621 This file is loaded in full into every session.
When invoked 2,621 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.02621 $0.02621
Opus 5.5 $0.01048 $0.01048
Sonnet 5.5 $0.00524 $0.00524
Haiku 4.5 $0.00262 $0.00262

Measured today against content hash 3ac5e2c48b65, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cua AGENTS.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 today.

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.

AGENTS.md · 212 lines

How it starts

The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repository agent guidance

Contributor authorship

Follow Preserve Contributor Authorship.

  • A Salvaged from #<pr> source pull request must differ from the landing pull request.
  • When adapting a contribution directly in its existing pull request, keep the contributor as the commit author and credit adapting authors with Co-authored-by trailers instead of citing the pull request as its own source.
  • Use GitHub-linked or GitHub noreply email addresses for commit authors and coauthors so the contributor-attribution check can resolve each identity.
  • Tell the source contributor where their work shipped.

Do not reimplement submitted work solely to remove its authorship history.

Issue and pull request workflow

Follow the contribution and selection contract in CONTRIBUTING.md, MAINTAINERS.md, the GitHub issue forms, rfcs/README.md, and SECURITY.md. Keep those files canonical instead of duplicating their field lists, polling ladder, or RFC lifecycle here.

Coding agents act as workers within that contract, not as a planning authority. GitHub holds the durable record: the issue or RFC carries the problem and the decision, and the pull request carries the execution. Local schedulers, queues, and worktree tooling are private conveniences; a reviewer must not need them to understand, reproduce, or continue the work.

  • when the authenticated GitHub account has write access, create and push the work branch directly in the canonical repository. Do not default to a personal fork merely because a fork remote exists. Use a fork only when write access is unavailable or the maintainer explicitly requests one, and verify the pull request head owner before reporting it;
  • avoid noisy periodic status comments; keep progress in the linked pull request description; and
  • route suspected vulnerabilities through the private process in SECURITY.md, never a public issue, RFC, pull request, log, or screenshot.

Read the full file on GitHub · 212 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. today Changed · +9 lines · +133 tokens per session 3ac5e2c48b65
  2. yesterday Changed · +23 lines · +401 tokens per session c1665a1966d0
  3. 2d ago Changed · +14 lines · +205 tokens per session 669317e1f34d
  4. 8d ago Changed · -1 lines · -16 tokens per session 6eb04307c1b5
  5. 17d ago Changed · +36 tokens per session 0792c243f821
  6. 18d ago Changed · -3 tokens per session df542b76aa96
  7. 1mo ago Changed · +20 lines · +276 tokens per session 9fcdf02e1074
  8. 1mo ago Changed · +21 lines · +278 tokens per session 507f006eb5ea
  9. 1mo ago Changed · -65 lines · -871 tokens per session d90a160e7269
  10. 1mo ago First seen · 191 lines · 2,182 tokens per session scan A b374714d477e

Subscribe to this mod's changes

cua AGENTS.md is an instructions file published in the GitHub repository trycua/cua (31,822 stars, last pushed today), licensed MIT. It adds 2,621 tokens to every session, about $0.0105 per session on Opus 5.5. 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.

Related

cua AGENTS.md compared with instructions from other repositories

cua AGENTS.md next to 6 instructions from other repositories
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vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode