browser
用异步 Python 调用 QwenPaw 内置 Browser SDK 驱动真实浏览器。完整参考在下方;上下文压缩后请重新加载此 browser skill。
git clone --depth 1 https://github.com/agentscope-ai/QwenPaw /tmp/browser && cp -r /tmp/browser/src/qwenpaw/agents/skills/browser-zh ~/.claude/skills/browserSKILL.md
# 浏览器
保持工作纪律:先感知当前页面,再通过已列出的 API 动作,最后重新感知后才可声明成功。
只能陈述本轮实际观察到的事实。卡住时的合格交付 = 说明卡在哪一步 + 已亲眼验证的部分结果;
不要为了给出完整答案而补全你没有看到的内容。
尊重人工边界:登录、验证码、2FA 或任何必须由人完成的步骤,调用
`await browser.handoff(...)` 后停止,绝不自动化这些流程。
浏览器完不成时,不要拿其他渠道(如 web_search)的数据顶替并仍说成浏览器结果——
如实写明每个数据的来源。
这是 QwenPaw 内置的 Browser SDK,不是 Playwright。它是封闭的 API 表面:
未列出的方法不存在。完整参考在下方;若上下文中不再保留,请用 Skill 工具重新加载
此 browser skill。
<!-- BEGIN GENERATED: browser-manual -->
QwenPaw Browser SDK — complete reference. This is QwenPaw's OWN internal
SDK and this is the ENTIRE API; these are all the entrypoints. The SDK
is already in scope as Browser — call the methods below directly. Write
async Python. Work in a loop: perceive → act → verify.
# Copy this shape:
browser = await Browser.connect() # connect once; reused all session
page = await browser.open("https://example.com") # open a page
obs = await page.snapshot() # PERCEIVE — page text is obs.text
if len(obs.text) < 6000:
print(obs.text)
else:
# Large page: read selectively instead of dumping everything.
lines = [line for line in obs.text.splitlines()
if "keyword" in line]
print(f"{len(obs.text)} chars total; {len(lines)} matching lines:")
print("\n".join(lines[:80]))
# For a focused count, use: await page.snapshot(query="keyword")
await page.get_by_role("textbox", name="Search").fill("laptop") # ACT
await page.get_by_role("button", name="Search").click() # ACT
obs = await page.snapshot() # VERIFY — re-perceive to confirm
print("Verified; inspect obs.text with the selective pattern above.")
Session state: this is a stateful session — variables you assign (browser,
page) persist across calls, so connect once and reuse them. If a call
reports the session was reset, re-run await Browser.connect().
Chrome backend caveat: with backend=chrome you operate inside the user's
real browser. A session is a tab-ownership group — tabs are isolated per
session, but identity (cookies, logins, storage) is shared with the user's
profile and with every other session. Do not rely on session-level identity
isolation on this backend.
browser (orchestration):
await Browser.connect(*, identity: "auto"|"user"|"avatar"|"guest" = "auto") -> browser
Connect as an identity: user, avatar, guest, or auto.
``auto`` picks ``user`` when Chrome is connected, otherwise ``guest``.
An unavailable explicit identity raises instead of substituting.
await browser.open(url: str | None = None) -> page
Open a page at ``url`` and return it.
Reuses this session's active page when one exists; otherwise a
new page is created. Pages are released when the response cycle ends;
start each cycle by calling ``open(url)`` again.
await browser.pages() -> list of page ref (.id, .url, .title, .active)
List open pages with URL, title, and active-state details.
await browser.switch_page(page: page ref (.id, .url, .title, .active)) -> none
Make the given page ref active for later operations.
await browser.close_page(page: page ref (.id, .url, .title, .active)) -> none
Close the given page ref in this session.
await browser.session_status() -> session status (.owner, .variant, .context, .connected)
Report the owner, variant, context, and connected state.
await browser.handoff(reason: str, instructions: str = "") -> a result dict
Hand a step back to a human (captcha, login, 2FA).
Pass a short reason and instructions; the run stops on this signal —
never automate these flows. The active cycle-scoped page is retained
for one extra response cycle after the handoff.
await browser.present(url: str | None = None) -> page
Open a page retained for the chat lifetime.
await browser.close() -> none
Close this session's browser and release its context.
page (operation):
await page.goto(url: str) -> a result dict
Navigate this page to ``url`` and return raw navigation facts.
await page.go_back() -> a result dict
Navigate back to the previous page in history.
await page.go_forward() -> a result dict
Navigate forward to the next page in history.
await page.reload() -> a result dict
Reload the current page.
await page.keep() -> none
Retain this page across response cycles for the current chat.
await page.wait_for_load_state(state: str = "load", *, timeout: float | None = None) -> none
Wait until the page reaches the requested load state.
``networkidle`` semantics depend on the backend: the Playwright
backend waits for true network quiescence, while CDP-based
backends (cdp, chrome) degrade to ``document.readyState ==
"complete"`` plus a fixed 500 ms quiet delay and do NOT track
in-flight requests — content loaded by late XHR may still be
missing when this returns.
await page.wait_for_timeout(timeout: float) -> none
Sleep unconditionally for *timeout* milliseconds (capped at 30 000).
Prefer :py:meth:`locator.wait_for(state, timeout)
<LocatorView.wait_for>` when waiting for a specific DOM condition
— it returns as soon as the condition is met and is both faster
and more reliable than an unconditional sleep.
await page.screenshot() -> a result dict
Capture this page to a PNG file in the active workspace.
page.get_by_role(role: str, *, name: str | None = None) -> locator
Locate elements by accessible role and optional name.
page.get_by_text(text: str) -> locator
Locate elements by their visible text.
page.get_by_label(text: str) -> locator
Locate a form control by its associated label text.
page.get_by_placeholder(text: str) -> locator
Locate an input by its placeholder text.
page.locator(selector: str) -> locator
Locate elements by a CSS selector when no semantic locator fits.
page.frame_locator(selector: str) -> locator
Scope subsequent locators to the iframe matching ``selector``.
await page.snapshot(query: str | None = None) -> observation (read .text; .match_count when you pass a query)|
阿里云 CLI 中文文档镜像检索与命令辅助:先走章节索引,再下钻正文页面,给出命令前必须有本地文档证据。
Terraform CLI 安装与初始化技能。当用户本地未安装 Terraform 时自动完成安装,确保 terraform 命令可用并能执行 init/validate。不负责 Provider 凭证配置,凭证在实际使用时由 terraform-skill 引导。
Use when working with Terraform or OpenTofu - creating modules, writing tests (native test framework, Terratest), setting up CI/CD pipelines, reviewing configurations, choosing between testing approaches, debugging state issues, implementing security scanning (trivy, checkov), or making infrastructure-as-code architecture decisions
Use computer_use for live Windows or macOS GUI work that structured tools cannot complete. Discover an approved app and window, act from fresh observations, and verify every requested result.
将用户问题中的主题、关键词映射到 QwenPaw 官方文档路径与常见源码入口,减少盲目搜索。适用于内置 QA Agent 在回答安装、配置、技能、MCP、多智能体、记忆、CLI 等问题时快速选定要读的文件。
当需要主动向用户、会话或频道单向发送消息时,使用本 skill。通常仅在用户明确要求向某个 channel / 会话发送消息,或需要主动通知时使用。先用 qwenpaw chats list 查询 session,再用 qwenpaw channels send 推送消息。