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 agentmods add skills/uvwt/agentdock-skills/desktopnpx skills add uvwt/agentdock-skills --skill desktopgit clone --depth 1 https://github.com/uvwt/agentdock-skillsWrote 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/uvwt/agentdock-skills/desktop)<a href="https://agentmods.dev/skills/uvwt/agentdock-skills/desktop"><img src="https://agentmods.dev/badge/skills/uvwt/agentdock-skills/desktop.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 | $0.00013 | $0.00568 |
| Opus 5 | $0.00006 | $0.00284 |
| Sonnet 5 | $0.00003 | $0.00114 |
| Haiku 4.5 | $0.00001 | $0.00057 |
Grade A, and why
desktop 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 5d 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.
What it actually says
macOS Desktop Skill
AgentDock 的 macOS 桌面自动化能力已经从 core 工具拆分为此 Skill 工作流。
调用入口
skill_action=observe：action=preflight | list_apps | app_state | window_list | snapshot | snapshot_app。skill_action=act：action=focus | move | click | double_click | scroll | drag | type | set_value | secondary_action | hotkey | wait。skill_action=clipboard-read/skill_action=clipboard-write：读写剪贴板。
数据目录
截图原始文件写入 AGENTDOCK_HOME/skill-data/desktop/artifacts；snapshot / snapshot_app 同时发布到 AGENTDOCK_HOME/public-artifacts，并返回包含 artifact_id 的轻量 screenshot 引用。配置 AGENTDOCK_SERVER_URL 时额外返回带过期时间的签名 screenshot.url。需要模型查看图片时，再调用 AgentDock view_image(artifact_id=...)；Desktop Skill 不直接返回 Base64。历史截图已统一迁入同一私有数据目录。
- 动作参数不支持别名：
skill_action=act必须使用action枚举值；secondary_action的辅助动作名必须放在ax_action；wait使用ms。
辅助脚本执行
Skill 本体是本说明文档。确需调用包内辅助脚本时，在 Skill 包根目录使用相对路径执行；运行宿主负责切换到包根目录并把所需变量注入当前子进程。
printf '%s' '{"skill_action":"<动作>"}' | python3 run.py
输入必须是 JSON 对象。写操作仍按本文档中的确认规则执行。
| 动作 | 用途 |
|---|---|
status |
Run a desktop preflight check and report desktop automation readiness. |
observe |
Unified macOS desktop observation action: preflight, list_apps, app_state, window_list, snapshot, or snapshot_app. |
act |
Unified macOS desktop action: focus, move, click, double_click, scroll, drag, type, set_value, secondary_action, hotkey, or wait. |
clipboard-read |
Read macOS clipboard text. |
clipboard-write |
Write macOS clipboard text and optionally verify by reading it back. |
What ships with it
1 file 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.
- 5d ago First seen · 40 lines · 13 tokens per session scan A 6dda4776f1c6
desktop is a skill published in the GitHub repository uvwt/agentdock-skills (3 stars, last pushed 4d ago), licensed Apache-2.0. It adds 13 tokens to every session and 568 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 2026-08-31.
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browser_visible
当用户需要控制 browser 的浏览器启动方式时，使用本 skill。browser 默认由 Playwright 直接管理、不开放调试端口（需让其他本地工具附加时显式传 cdpport）；headed 控制是否显示窗口，privatemode 保留用于兼容、不再改变默认行为，browserargs 传入额外的 Chromium 启动参数，executablepath 指定自定义浏览器可执行文件路径。.
browser_visible
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