Borrowing it
Nothing to install: this file belongs to zavora-ai/computer-use-mcp. 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/zavora-ai/computer-use-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/zavora-ai/computer-use-mcpWrote 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/zavora-ai/computer-use-mcp/agents-md)<a href="https://agentmods.dev/instructions/zavora-ai/computer-use-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/zavora-ai/computer-use-mcp/agents-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 | $0.05570 | $0.05570 |
| Opus 5 | $0.02785 | $0.02785 |
| Sonnet 5 | $0.01114 | $0.01114 |
| Haiku 4.5 | $0.00557 | $0.00557 |
Grade B, and why
computer-use-mcp AGENTS.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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
Codex reads local MCP servers from `~/.codex/config.toml`: How it starts
The opening of the file, as written. The whole thing — 602 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Using computer-use-mcp with AI Agents
This guide covers how to integrate computer-use-mcp into AI agent frameworks and agentic workflows. Works on macOS, Windows, and Linux.
Skills (recommended): copy from skills/ in this package into your agent skills directory:
skills/computer-use— when/how to use desktop controlskills/computer-use-forms— accessibility form fillskills/computer-use-scripting— AppleScript / PowerShell firstskills/computer-use-recovery— FocusFailure recoveryskills/computer-use-windows-admin— filesystem / registry / process
MCP prompts: diagnose-desktop, fill-form, script-first, safe-desktop-task
Profiles: COMPUTER_USE_PROFILE=core|ax|scripting|windows-admin|full (default full)
v7 environment & behaviors:
COMPUTER_USE_FS_ROOTS— confine thefilesystemtool to comma-separated absolute roots (blocks../symlink escape). Unset = unrestricted.COMPUTER_USE_NATIVE_PATH— override native.noderesolution (else: separately installed platform package → bundled binary).COMPUTER_USE_LEGACY_FOCUS_TAG=true— restore the legacy[focusRequired: X]description suffix (off by default in v7; still in_meta/get_tool_metadata).COMPUTER_USE_STRUCTURED_CONTENT=false— legacy text-only results (omitsstructuredContent+outputSchema).- Cancellation: tool calls honor the host
AbortSignal(waitreturns early;run_scriptterminates its subprocess tree through a POSIX process group or recursive Windowstaskkill). - Progress: long
filesystemsearches emitnotifications/progresswhen a progress token is present.
v7.1 MCP behavior:
- Legacy MCP clients continue through
initialize; no tool names or v7 input schemas changed. - MCP 2026-07-28 clients use stateless requests,
server/discover, per-request identity/capabilities, cache hints, MRTR, andsubscriptions/listen. - The
io.modelcontextprotocol/tasksextension is opt-in and server-directed for selected long-running read-only calls. Extension-aware hosts polltasks/get; stock clients should omit the extension capability and receive synchronous results. computer-use-mcp-httpserves the bundled loopback-only HTTP endpoint. Remote hosts must embedcreateComputerUseHttpHandler, validate OAuth themselves, and pass only verifiedauthInfo.- Tool annotations are descriptive hints, never an authorization boundary.
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 · 602 lines · 5,570 tokens per session scan B 3631520d557c
computer-use-mcp AGENTS.md is an instructions file published in the GitHub repository zavora-ai/computer-use-mcp (45 stars, last pushed 16d ago), licensed MIT. It adds 5,570 tokens to every session, about $0.0278 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
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.