القائمة
Natural language web UI control — element detection, targeted interaction, and automated form filling
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/jeremylongshore/oss-agent-lab --skill gui-agentيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
عرض SKILL.md
استنادا إلى تصنيف SOC المهني
| name | gui_agent |
| display_name | GUI Agent Specialist |
| description | Natural language web UI control — element detection, targeted interaction, and automated form filling |
| version | 0.1.0 |
| source_repo | alibaba/page-agent |
| license | Apache-2.0 |
| tier | core |
| capabilities | ["gui_automation","web_interaction","element_detection","form_filling"] |
| allowed_tools | ["detect_elements","interact_element","fill_form"] |
| output_formats | ["python_api","cli","mcp_server","agent_skill","rest_api"] |
The GUI Agent specialist wraps the alibaba/page-agent natural-language web UI control framework into a composable OSS Agent Lab specialist. Given a plain-English instruction and a target URL, it:
Each stage is independently callable as a tool, making the specialist suitable for targeted automation steps as well as full end-to-end web-interaction pipelines.
| Tool | Description | Parameters | Side Effects |
|---|---|---|---|
detect_elements | Detect interactive UI elements on a page | url, description | None (read-only) |
interact_element | Perform an action on a specific element | element_id, action, value | Modifies page state |
fill_form | Fill a web form with field-value pairs | url, form_data | Modifies page state |
detect_elements
url: str — fully-qualified URL of the target page (required)description: str | None — semantic hint to filter detected elements (default: )Noneinteract_element
element_id: str — stable element ID from detect_elements (required)action: str — "click" | "type" | "hover" | "focus" | "clear" (default: "click")value: str | None — text to type; required when action="type" (default: None)fill_form
url: str — fully-qualified URL of the page hosting the form (required)form_data: dict[str, str] — mapping of field labels to values (required)SpecialistRequest
│
▼
detect_elements(url, description)
│
▼
interact_element(element_id, action, value?)
│
▼ (when form_data in parameters)
fill_form(url, form_data)
│
▼
SpecialistResponse(result={detection, interaction, form?})
Form filling is triggered when the form_data key is present and non-empty in
request.intent.parameters.
from agents.specialists.gui_agent.agent import GuiAgentSpecialist
from oss_agent_lab.contracts import Intent, Query, SpecialistRequest
specialist = GuiAgentSpecialist()
request = SpecialistRequest(
intent=Intent(
action="click",
domain="web_interaction",
confidence=0.95,
parameters={"url": "https://example.com/login", "description": "sign in button"},
),
query=Query(user_input="click the sign in button"),
specialist_name="gui_agent",
)
response = await specialist.execute(request)
print(response.result["interaction"]["element_state"])
oss-lab run gui_agent "click the sign in button on https://example.com/login"
request = SpecialistRequest(
intent=Intent(
action="fill_form",
domain="gui_automation",
confidence=0.90,
parameters={
"url": "https://example.com/signup",
"form_data": {"email": "user@example.com", "password": "s3cr3t"},
},
),
query=Query(user_input="fill the signup form"),
specialist_name="gui_agent",
)
response = await specialist.execute(request)
print(response.result["form"]["submit_ready"])
from agents.specialists.gui_agent.tools import detect_elements
result = detect_elements(
url="https://example.com/login",
description="email field",
)
print(result["elements"])
print(f"Found {result['element_count']} element(s)")
{
"url": "https://example.com/login",
"description": "sign in button",
"detection": {
"elements": [
{"id": "elem-a1b2c3d4", "type": "button", "text": "Sign in", "selector": "button[type='submit']"}
],
"page_title": "Page at example.com — detected via page-agent (sign_in_button)",
"element_count": 1
},
"interaction": {
"success": true,
"action_performed": "click",
"element_state": "clicked",
"response_time_ms": 42.5
},
"form": {
"fields_filled": 2,
"success": true,
"validation_errors": [],
"submit_ready": true
}
}
Wraps alibaba/page-agent — a natural-language web UI control agent that translates plain-English instructions into browser automation actions using vision-language models and structured element grounding.