@fzkuji/gui-agent
AGUI automation via visual perception. Screenshot → detect → click → verify. Use when asked to operate a desktop app, interact with a VM, or complete an OSWorld benchmark task.
Install
agr install @fzkuji/gui-agent --target claudeWrites 7 files into .claude/skills/, pinned to git-45ba3f0a.
- .claude/skills/gui-agent/.gitattributes
- .claude/skills/gui-agent/.gitignore
- .claude/skills/gui-agent/LICENSE
- .claude/skills/gui-agent/README.md
- .claude/skills/gui-agent/SKILL.md
- .claude/skills/gui-agent/pyproject.toml
- .claude/skills/gui-agent/requirements.txt
Document
name: gui-agent description: "GUI automation via visual perception. Screenshot → detect → click → verify. Use when asked to operate a desktop app, interact with a VM, or complete an OSWorld benchmark task."
GUI Agent
Autonomous GUI task execution. Give it a natural language task, it operates the desktop.
When to Use
Use gui-agent when the user asks you to:
- Operate a desktop application (click buttons, fill forms, navigate menus)
- Interact with a VM (OSWorld tasks)
- Do anything that requires seeing and clicking on a screen
How to Use
gui-agent "your task description here"
Examples:
# Desktop automation
gui-agent "Open Firefox and go to google.com"
gui-agent "Send hello to John in WeChat"
gui-agent "Install the Orchis GNOME theme"
# Remote VM
gui-agent --vm http://172.16.82.132:5000 "Open GitHub in Chrome"
# With specific model
gui-agent --provider claude-code --model opus "Crop the top 20% of the image in GIMP"
Options
gui-agent [OPTIONS] TASK
TASK Natural language task description
--vm URL Remote VM HTTP API
--provider NAME Force LLM provider: claude-code, openclaw, anthropic, openai
--model NAME Override model name (e.g., opus, sonnet, gpt-4o)
--max-steps N Max actions before stopping (default: 15)
--app NAME App name for component memory (default: desktop)
What It Does Internally
The agent runs an autonomous loop — you don't need to manage any of this:
- Observe — screenshot + UI detection + component matching
- Verify — check if the previous action succeeded
- Plan — decide the next action (click, type, scroll, etc.)
- Execute — perform the action
- Repeat — until task is done or max steps reached
The agent learns UI components on first encounter and reuses them in future sessions.
Trustgrade A
- passBody integrity
Whether the stored document is plausibly the kind of file the artifact declares, rather than something fetched by mistake.
- passType matchnot applicable to this artifact type
Whether the artifact is really the kind of thing its metadata claims it is.
- passFreshness
How long since the source repository was last pushed to.
- passPrompt injection
Scans the artifact's own text for instructions aimed at your agent rather than at you.
- passLicense
Whether the source repository declares an SPDX license permissive enough to redistribute.
How the grade is calculated
Each check contributes 0 points when it passes, 1 when it warns, and 2 when it fails. The total maps to a letter:
- Aevery check passed
- Bone warning
- Ctwo warnings
- Dprompt injection or body integrity failed, or three warnings
- Fone of those failed, and something else is wrong
These are automated hygiene checks, not a security audit, and not a dependency or vulnerability scan. A grade of A means nothing was flagged — not that the artifact is safe.
Versions
git-45ba3f0a3b4b2026-07-31