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/svd-ai-lab/sim-cli/guinpx skills add svd-ai-lab/sim-cli --skill guigit clone --depth 1 https://github.com/svd-ai-lab/sim-cliWhat 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 | $0.00043 | $0.02258 |
| Opus 5 | $0.00022 | $0.01129 |
| Sonnet 5 | $0.00009 | $0.00452 |
| Haiku 4.5 | $0.00004 | $0.00226 |
Grade A, and why
gui 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.
How it starts
The opening of the file, as written. The whole thing — 240 lines — stays where its author put it; the contents beside it link to each section on GitHub.
gui — cross-driver GUI actuation
Whenever the active driver runs with ui_mode=gui (or desktop),
sim serve injects a gui object into your sim exec namespace
alongside session / solver / meshing / model. The object is the
same shape across solvers — only the process filter differs — so one
skill serves every GUI-capable driver.
/connect advertises it:
{
"ok": true,
"data": {
"...": "...",
"tools": ["gui"],
"tool_refs": {"gui": "sim-cli/_skills/sim-cli/gui/SKILL.md"}
}
}
If tools doesn't contain "gui", the driver launched headless and
the object is absent — don't call it.
When to reach for gui
Three scenarios dominate:
- A blocking dialog is wedging the workflow. A login prompt,
overwrite confirmation, or script-error dialog can pause agent work
until someone clicks a button — that someone is you, via
gui. - You need to drive the GUI where the SDK can't. Some workflows expose a UI-only surface that the driver API does not cover.
- You need a per-window screenshot.
sim screenshotcaptures the whole desktop.SimWindow.screenshot()captures just the window you care about — cheaper to read, less visual clutter for the LLM.
If the SDK has a programmatic path (session.tui.*, model.solve(),
ModelUtil.loadCopy()), prefer that. gui is for the UI-only surface
that the SDK doesn't cover.
Remote equivalence
gui is in the session namespace on the sim serve side. You talk to
it via the existing /exec HTTP channel:
# local Windows box
sim exec "dlg = gui.find('Login'); dlg.click('OK')"
# Windows box on the LAN / Tailscale
sim --host 10.0.x.y exec "dlg = gui.find('Login'); dlg.click('OK')"
No new endpoint, no new protocol — the same API shape from anywhere the agent runs.
Requirement on the server host: sim serve must run in a real
interactive desktop session (normal login or RDP). Windows
service / SSH session 0 has no desktop, so pywinauto can't enumerate
any windows even though the solver processes are running. This is the
same constraint GUI-capable drivers document.
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.
- 2d ago First seen · 240 lines · 43 tokens per session scan A 5b21a606195d
gui is a skill published in the GitHub repository svd-ai-lab/sim-cli (213 stars, last pushed 5d ago), licensed Apache-2.0. It adds 43 tokens to every session and 2,258 once invoked, about $0.0002 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 2026-08-30.
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