Qwen Code is an open-source AI coding agent that runs in a terminal and helps developers work with code through language models. It supports multiple model providers and can also be used through IDEs, desktop software, SDKs, and messaging bots.
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.
npx skills add QwenLM/qwen-code --skill computer-usegit clone --depth 1 https://github.com/QwenLM/qwen-codeWrote 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/skills/qwenlm/qwen-code/computer-use)<a href="https://agentmods.dev/skills/qwenlm/qwen-code/computer-use"><img src="https://agentmods.dev/badge/skills/qwenlm/qwen-code/computer-use/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.
<a href="https://agentmods.dev/skills/qwenlm/qwen-code/computer-use"><img src="https://agentmods.dev/badge/skills/qwenlm/qwen-code/computer-use.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00033 | $0.03322 |
| Opus 5.5 | $0.00013 | $0.01329 |
| Sonnet 5.5 | $0.00007 | $0.00664 |
| Haiku 4.5 | $0.00003 | $0.00332 |
Grade A, and why
computer-use 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 21d 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.
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.
How it starts
The opening of the file, as written. The whole thing — 296 lines — stays where its author put it; the contents beside it link to each section on GitHub.
node_repl + @qwen-code/cua-sdk (Computer Use)
- Use
node_repl(JavaScript) for all Computer Use actions. - If both servers are available, use
node_replfrom thedesktop-node-replMCP server; the regular server runs on the Qwen Code host. - Do not use other technologies besides
node_replfor computer interactions, unless specifically requested by the user (e.g. AppleScript,osascript, JXA, System Events, synthesized input). - Prefer a dedicated plugin or skill when it can complete the task; use Computer Use for app interactions that are not exposed through a more specific interface.
node_replstate is persistent across calls.- For text output, use
nodeRepl.write(...). It takes a string; useJSON.stringify(...)only for textual metadata. For an observation, write its.textand emit its screenshots as images; do not stringify an observation or driver result containing image bytes. - Omit
yield_time_msfor ordinary UI calls to use the default 10-second wait. A shorter yield does not speed up the action and can add anode_repl_waitround. Use a shorter yield only when you need control back before completion; if a cell is still running, collect its result withnode_repl_waitbefore issuing dependent actions.
Forwarding results in Codex code mode
When calling node_repl through tools.* inside Codex's outer functions.exec,
forward each returned content block by its type. nodeRepl.emitImage(...)
produces an MCP image block; the outer script must pass that block to image()
for the model to receive an image. Prefer the desktop relay tool when it is
present; otherwise use the regular node-repl server:
// A code-mode `tools` object throws on an unknown key, so probe with `in`:
// reading an unbound tool would abort the script before any fallback ran.
const DESKTOP_NODE_REPL = 'mcp__desktop_node_repl__node_repl';
const nodeReplTool =
DESKTOP_NODE_REPL in tools
? tools[DESKTOP_NODE_REPL]
: tools.mcp__node_repl__node_repl;
const result = await nodeReplTool({ code });
for (const block of result.content ?? []) {
if (block.type === 'text') {
text(block.text);
} else if (block.type === 'image') {
image(block);
}
}
What ships with it
2 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.
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.
- 21d ago Changed · +13 lines 0f8742eb4b42
- 26d ago Changed · -42 lines a346c2807c61
- 1mo ago Changed 260a9df7cf08
- 1mo ago Changed · +21 lines 924c67a46c9e
- 1mo ago Changed · +217 lines ac4c290fd8a7
- 1mo ago Changed · -152 lines 3f79f147b0a9
- 1mo ago Changed 1cfee453132a
- 1mo ago Changed · +73 lines 39379c284042
- 1mo ago Changed · -64 lines 77f5e17bebd1
- 1mo ago First seen · 230 lines · 33 tokens per session scan A fcfac31c91cf
computer-use is a skill published in the GitHub repository QwenLM/qwen-code (28,586 stars, last pushed today), licensed Apache-2.0. It adds 33 tokens to every session and 3,322 once invoked, about $0.0001 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.
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