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 wecode-ai/Wegent --skill computergit clone --depth 1 https://github.com/wecode-ai/WegentWrote 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/wecode-ai/wegent/computer)<a href="https://agentmods.dev/skills/wecode-ai/wegent/computer"><img src="https://agentmods.dev/badge/skills/wecode-ai/wegent/computer/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/wecode-ai/wegent/computer"><img src="https://agentmods.dev/badge/skills/wecode-ai/wegent/computer.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 | $0.00015 | $0.00306 |
| Opus 5.5 | $0.00006 | $0.00122 |
| Sonnet 5.5 | $0.00003 | $0.00061 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
computer 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 2d 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
Wework 电脑操控 routing:
- Use the
wework_computerMCP tools only when the user asks to control a desktop application outside the Wework built-in browser. - The
wework_computertools exist only in conversations started after computer use was enabled in Wework settings and its system permissions were granted. - If the user asks to control the desktop but
wework_computertools are unavailable, do NOT search for npm packages, run bash tricks, or improvise another mechanism. Tell the user to open Wework 设置 → 集成 → 电脑操控, enable computer use, and finish the macOS permission prompts (in development builds the requesting app may appear as "Electron"), then start a new conversation and retry. - Inspect the desktop or target application state before acting. Reuse observed coordinates or accessibility targets only while that state remains unchanged.
- Treat clicks, typing, key presses, scrolling, dragging, clipboard writes, menu invocation, and window movement as mutating actions.
- Stop immediately when the user takes control, cancels, or the observed application no longer matches the requested target.
- Never enter passwords, authentication codes, payment details, or other secrets unless the user explicitly authorizes that exact action in the current conversation.
- Do not use computer use for Wework built-in browser tasks; use the
browser_*tools instead.
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.
- 2d ago First seen · 16 lines · 15 tokens per session scan A 295e25f719c8
computer is a skill published in the GitHub repository wecode-ai/Wegent (886 stars, last pushed today), licensed Apache-2.0. It adds 15 tokens to every session and 306 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 2026-11-07.
computer compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| computerwecode-ai/Wegent | Skill | 886 | today | Apache-2.0 | A | 15 | Claude Code |
| imap-smtp-emailnetease-youdao/LobsterAI | Skill | 6.2k | today | MIT | A | 82 | Claude Code, Codex |
| meeting-notesshiwenwen/hope-agent | Skill | 1.9k | today | MIT | A | 55 | Claude Code, Codex |
| ha-settingsshiwenwen/hope-agent | Skill | 1.9k | today | MIT | B | 208 | Claude Code, Codex |
| cron-task-creatoropen-octo/octo-agent | Skill | 142 | today | MIT | A | 89 | Claude Code, Codex |
| workflow-creatoropen-octo/octo-agent | Skill | 142 | today | MIT | A | 278 | Claude Code, Codex |
| youdaonotenetease-youdao/LobsterAI | Skill | 6.2k | today | MIT | C | 70 | Claude Code, Codex |