Borrowing it
Nothing to install: this file belongs to xlang-ai/OpenCUA. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/xlang-ai/OpenCUA/main/CLAUDE.mdgit clone --depth 1 https://github.com/xlang-ai/OpenCUAWrote 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.
[](https://agentmods.dev/instructions/xlang-ai/opencua/claude-md)<a href="https://agentmods.dev/instructions/xlang-ai/opencua/claude-md"><img src="https://agentmods.dev/badge/instructions/xlang-ai/opencua/claude-md.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01409 | $0.01409 |
| Opus 5 | $0.00705 | $0.00705 |
| Sonnet 5 | $0.00282 | $0.00282 |
| Haiku 4.5 | $0.00141 | $0.00141 |
Grade B, and why
OpenCUA CLAUDE.md scanned grade B with 1 finding 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 8d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo apt-get install -y xvfb How it starts
The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
OpenCUA is an open-source framework for scaling computer-use agent data and foundation models. It consists of:
- AgentNet: Large-scale dataset (22.6K+ tasks) across Windows, macOS, and Ubuntu
- AgentNetTool: Cross-platform GUI recording and annotation tool (Git submodule in
tool/) - OpenCUA Models: End-to-end foundation models (7B, 32B, 72B variants) based on Qwen2.5-VL
Commands
Environment Setup
conda create -n opencua python=3.10
conda activate opencua
# Model inference dependencies
pip install -r model/requirement.txt
# Data processing dependencies
pip install -r data/data-process/requirements.txt
# Headless server support (for video processing)
sudo apt-get install -y xvfb
Model Inference
HuggingFace:
cd model/inference
python huggingface_inference.py
vLLM Server (recommended for production):
CUDA_VISIBLE_DEVICES=1,2,3,4 vllm serve /path/to/OpenCUA-32B \
--trust-remote-code \
--tensor-parallel-size 4 \
--served-model-name opencua-32b \
--host 0.0.0.0 \
--port 8000
Data Processing Pipeline
Stage 1: Extract raw trajectories from video/events:
cd data/data-process
xvfb-run -a ./scripts/extract_raw.sh -1 # all samples
xvfb-run -a ./scripts/extract_raw.sh 10 # first 10 samples
Stage 2: Standardize to unified schema:
xvfb-run -a ./scripts/raw_to_standardized.sh -1
Stage 3: Generate CoT (requires API_KEY env var):
cd data/cot-generate
export API_KEY="your-api-key"
python gen_cot.py \
--traj_path ./gen_cot_example/raw_example.jsonl \
--image_folder ./gen_cot_example/images \
--output_dir ./gen_cot_example/output/tasks \
--model claude-3-7-sonnet-20250219
Visualization
cd data/vis
streamlit run app.py -- --traj_file <TRAJ_JSONL> --meta_file <META_JSONL> --image_dir <IMAGES>
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.
- 8d ago First seen · 183 lines · 1,409 tokens per session scan B 2829e87fb7bd
OpenCUA CLAUDE.md is an instructions file published in the GitHub repository xlang-ai/OpenCUA (833 stars, last pushed 3mo ago), licensed MIT. It adds 1,409 tokens to every session, about $0.0070 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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