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 THU-SAGE/syll --skill gui-agentgit clone --depth 1 https://github.com/THU-SAGE/syllWrote 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/thu-sage/syll/gui-agent)<a href="https://agentmods.dev/skills/thu-sage/syll/gui-agent"><img src="https://agentmods.dev/badge/skills/thu-sage/syll/gui-agent/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/thu-sage/syll/gui-agent"><img src="https://agentmods.dev/badge/skills/thu-sage/syll/gui-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00697 |
| Opus 5.5 | $0.00005 | $0.00279 |
| Sonnet 5.5 | $0.00003 | $0.00139 |
| Haiku 4.5 | $0.00001 | $0.00070 |
Grade A, and why
gui-agent 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 2mo 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GUI Agent
You can interact with desktop applications using the gui_action tool.
How It Works
- The tool captures a screenshot of the current screen
- Sends it to the UI-TARS vision model for analysis
- UI-TARS returns a thought + action (click, type, scroll, etc.)
- The action is executed via pyautogui
- Steps repeat until the task is complete or max steps reached
Usage Protocol
When the user asks you to perform a GUI task:
- Understand the goal - Break the task into clear steps
- Call
gui_actionwith a clear instruction - Review the result - Check the returned screenshot and status
- Iterate if needed - Call again with refined instructions
Example
User: "Open Chrome and search for 'Syll'"
You should call:
gui_action(instruction="Open Chrome browser, click on the address bar, type 'Syll' and press Enter")
Safety Rules
-
Never perform destructive actions without user confirmation:
- Deleting files or folders
- Closing unsaved documents
- System settings changes
- Financial transactions
- Sending messages/emails
-
Always verify the current screen state before acting
-
Stop immediately if the screen shows unexpected content (login pages with sensitive data, etc.)
-
Report clearly what actions were taken and their results
Supported Actions
| Action | Description | Example |
|---|---|---|
click |
Left click at position | click(point='<point>500 300</point>') |
right_click |
Right click | right_click(point='<point>500 300</point>') |
double_click |
Double click | double_click(point='<point>500 300</point>') |
drag |
Drag from A to B | drag(start='<point>100 100</point>', end='<point>200 200</point>') |
type |
Type text | type(content='hello world') |
hotkey |
Key combination | hotkey(key='ctrl+c') |
scroll |
Scroll up/down | scroll(point='<point>500 300</point>', direction='down', amount=3) |
wait |
Pause | wait(seconds=2) |
finished |
Task complete | finished(content='Done') |
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.
- 2mo ago First seen · 86 lines · 13 tokens per session scan A 1e223833066a
gui-agent is a skill published in the GitHub repository THU-SAGE/syll (304 stars, last pushed 5mo ago), licensed MIT. It adds 13 tokens to every session and 697 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 2026-08-30.
gui-agent compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| gui-agentTHU-SAGE/syll | Skill | 304 | 5mo ago | MIT | A | 13 | Claude Code, Codex |
| interactive-loginyc-software/qm | Skill | 16k | yesterday | MIT | A | 46 | Claude Code, Codex |
| pinchtab-mcppinchtab/pinchtab | Skill | 11k | 10d ago | MIT | A | 52 | Claude Code, Codex |
| azure-messaging-webpubsub-javamicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 43 | Claude Code |
| cua-driverdavidondrej/skills | Skill | 4.3k | 3d ago | MIT | A | 68 | Claude Code, Codex |
| open-design-browsercompozy/compozy | Skill | 2.8k | yesterday | MIT | A | 56 | Claude Code, Codex |
| southwestborski/travel-hacking-toolkit | Skill | 895 | yesterday | MIT | A | 40 | Claude Code |