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 IceWhaleTech/ZimaOS-Blue --skill computer_usegit clone --depth 1 https://github.com/IceWhaleTech/ZimaOS-BlueWrote 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/icewhaletech/zimaos-blue/computer_use)<a href="https://agentmods.dev/skills/icewhaletech/zimaos-blue/computer_use"><img src="https://agentmods.dev/badge/skills/icewhaletech/zimaos-blue/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/icewhaletech/zimaos-blue/computer_use"><img src="https://agentmods.dev/badge/skills/icewhaletech/zimaos-blue/computer_use.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00099 | $0.01694 |
| Opus 5.5 | $0.00040 | $0.00678 |
| Sonnet 5.5 | $0.00020 | $0.00339 |
| Haiku 4.5 | $0.00010 | $0.00169 |
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 1mo 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Computer Use
Use the built-in computer_use tool for live UI work on desktop apps, native windows, and accessibility-backed browser flows.
Setup
No external CLI is required.
For host-window actions:
- macOS: Accessibility permission may be required.
- Windows: UI Automation / WinEvent-backed inspection must be available.
If the user only wants to edit a workspace artifact such as .docx, .xlsx, .pptx, or .pdf, use the native document tools instead of driving the app UI.
Task Routing
| User Intent | Action |
|---|---|
| Focus the right app or window | blue computer_use action=focus ... |
| Inspect interactive host UI before acting | blue computer_use action=snapshot_interactive ... |
| Read the full accessibility tree for debugging | blue computer_use action=snapshot ... |
| Send a chat message in a known conversation | blue computer_use action=message ... |
| Switch to a conversation/list row/item without typing | blue computer_use action=select ... |
| Type into the likely composer/input without exposing refs | blue computer_use action=type ... |
| Click a named control or toggle a named setting | blue computer_use action=click ... / toggle ... |
| Scroll, press keys, or capture evidence | blue computer_use action=scroll ..., key ..., screenshot ... |
| Run a multi-step CUA desktop task | blue computer_use action=task goal="..." |
| Use CUA action aliases | open_app, input_text, Click, RightSingle, move_mouse, scroll_up/down, Hotkey, multi_Hotkey, record_info, done |
| User goal is still ambiguous and you truly need low-level control | blue computer_use action=act params... |
Command Usage
Fast Path
blue computer_use action=message app_name="Feishu,Lark" conversation="Orca" value="hello"
blue computer_use action=type app_name="Feishu,Lark" conversation="Orca" value="draft only"
blue computer_use action=select app_name="Feishu,Lark" conversation="Orca"
blue computer_use action=click window_title="Settings" control="Open Network"
blue computer_use action=toggle window_title="Settings" setting="Enable notifications"
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.
- 1mo ago First seen · 158 lines · 99 tokens per session scan A ce9f0f25224f
computer_use is a skill published in the GitHub repository IceWhaleTech/ZimaOS-Blue (28 stars, last pushed 2d ago), licensed MIT. It adds 99 tokens to every session and 1,694 once invoked, about $0.0004 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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