agentmods.dev

computer-use-linux

A Linux-only computer-use skill with its own bundled runtime and MCP server for controlling a Linux desktop. It can set up its Python environment automatically on its first real run.

In plain words
What is it for?
Use it when an agent needs to perform computer-use tasks on Linux, build and start the bundled server, or bootstrap its runtime and public Python dependencies.
Why use it?
It avoids requiring a local Claude installation, private native modules, or extracted application files, while keeping the required runtime with the skill.

Skill for Claude CodeCodex

0 5mo ago A scan 35 tokens original MIT
View the source file wimi321/linux-computer-use-skill
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 skills/wimi321/linux-computer-use-skill/computer-use-linux
Any agent
npx skills add wimi321/linux-computer-use-skill --skill computer-use-linux
Clone the repo
git clone --depth 1 https://github.com/wimi321/linux-computer-use-skill

Made for: Claude Code, Codex.

Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 465 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00035 $0.00465
Opus 5 $0.00017 $0.00233
Sonnet 5 $0.00007 $0.00093
Haiku 4.5 $0.00003 $0.00047

Measured yesterday against content hash b004e4dbc8f4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

computer-use-linux 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.

The scan reads SKILL.md. This mod also ships 33 executable files (project/runtime/linux_helper.py, project/src/cli.ts, project/src/computer-use/appNames.ts, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skill/computer-use-linux/SKILL.md · 65 lines

What it actually says

Linux Computer-Use Skill

Use this skill when the task needs a portable Linux computer-use skill bundled with its own standalone runtime and MCP server.

What this skill does

  • uses the bundled linux-computer-use-skill project under the installed skill directory
  • builds the standalone MCP server
  • lets the server auto-bootstrap its Python runtime on first launch
  • avoids any dependency on local Claude binaries, .node modules, or extracted app assets
  • stays explicitly Linux-only because the underlying desktop-control backend is Linux-specific

Default bundled project path

After installation, assume the standalone project lives at:

~/.codex/skills/computer-use-linux/project

If the user installed the skill under a custom CODEX_HOME, use that equivalent path instead.

Build

Always build from the bundled project:

cd ~/.codex/skills/computer-use-linux/project
npm install
npm run build

Run

cd ~/.codex/skills/computer-use-linux/project
node dist/cli.js

The first real run will automatically create .runtime/venv and install the public Python dependencies.

Validation notes

  • Version 0.1.1 fixes the shared system-key blocklist and tool capability typings so Linux builds use Linux-specific shortcut protections instead of a broken copied platform branch.
  • This project has been statically validated from macOS for TypeScript build health, bundled project integrity, and Python helper syntax, but still needs end-to-end runtime validation on a real Linux desktop.

Guardrails

  • Treat this host as trusted-local only.
  • Do not tell the user to search their local Claude install for binaries or hidden assets.
  • Be explicit that this runtime is standalone and uses public dependencies only.
  • Mention that the current runtime reports screenshotFiltering: none, so action gating is handled at the MCP layer.
Files

What ships with it

46 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 65 lines · 35 tokens per session scan A b004e4dbc8f4

Subscribe to this mod's changes

computer-use-linux is a skill published in the GitHub repository wimi321/linux-computer-use-skill (0 stars, last pushed 5mo ago), licensed MIT. It adds 35 tokens to every session and 465 once invoked, about $0.0002 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 2026-08-31.

Data and AILanguagesProductivityai-agentsautomationcomputer-usedesktop-automationlinuxmcpmodel-context-protocolskill
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