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 fanfan-de/anybox --skill computer-usegit clone --depth 1 https://github.com/fanfan-de/anyboxWrote 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/fanfan-de/anybox/computer-use)<a href="https://agentmods.dev/skills/fanfan-de/anybox/computer-use"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/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/fanfan-de/anybox/computer-use"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/computer-use.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 66 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00022 | $0.01071 |
| Opus 5 | $0.00011 | $0.00535 |
| Sonnet 5 | $0.00004 | $0.00214 |
| Haiku 4.5 | $0.00002 | $0.00107 |
Grade A, and why
Computer Use Windows 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 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.
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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Computer Use Windows
Use this skill when the user asks you to operate a Windows desktop application and no safer structured integration is available.
Initialize once per Anybox session
Use the Anybox js Node REPL tool. Resolve this installed skill's plugin root from the absolute SKILL.md path shown in the skill catalog, then import scripts/computer-use-client.mjs by absolute path:
if (!globalThis.sky) {
const { setupComputerUseRuntime } = await import(
"<absolute-plugin-root>/scripts/computer-use-client.mjs"
);
await setupComputerUseRuntime({ globals: globalThis });
}
return { ready: Boolean(globalThis.sky), target: globalThis.sky?.target };
Do not spawn the native helper, open its named pipe, or implement another protocol client. Importing the plugin client is the only supported initialization path; it owns the Computer Use runtime and helper lifecycle.
The Node kernel persists only within the current Anybox session. A new session or js_reset terminates the old process, so run this initialization again whenever globalThis.sky is absent.
Node REPL output contract
The js tool executes submitted code as an async function body. It does not echo the final expression like an interactive console. A bare expression such as await sky.list_apps() still runs, but its tool result is null unless the code explicitly returns or writes the value.
Always use return for any value the model must inspect. Keep reusable handles on globalThis so later calls retain the exact Window objects:
globalThis.computerUseApps = await sky.list_apps();
return globalThis.computerUseApps;
Prefer return over nodeRepl.write(...) for structured results. If a call is intentionally side-effect-only, still return a short verification object instead of relying on an empty result.
Operating loop
Keep the sky object and returned Window objects in the current session's persistent REPL. Never expect those handles to survive a session change or hard reset.
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 · 71 lines · 22 tokens per session scan A c26d8642848c
Computer Use Windows is a skill published in the GitHub repository fanfan-de/anybox (57 stars, last pushed 29d ago), licensed MIT. It adds 22 tokens to every session and 1,071 once invoked, about $0.0001 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 2026-09-03.
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