QwenPaw is a personal AI assistant that runs on a local machine or in the cloud and connects to multiple chat applications. It provides memory, file workspaces, multiple agents, skills, plugins, and integrations with language-model providers and external tools. The catalogue entries are skills that extend its capabilities.
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 agentscope-ai/QwenPaw --skill browser-zhgit clone --depth 1 https://github.com/agentscope-ai/QwenPawWrote 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/agentscope-ai/qwenpaw/browser-zh)<a href="https://agentmods.dev/skills/agentscope-ai/qwenpaw/browser-zh"><img src="https://agentmods.dev/badge/skills/agentscope-ai/qwenpaw/browser-zh/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/agentscope-ai/qwenpaw/browser-zh"><img src="https://agentmods.dev/badge/skills/agentscope-ai/qwenpaw/browser-zh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 26 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
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 | $0.00041 | $0.02443 |
| Opus 5 | $0.00020 | $0.01222 |
| Sonnet 5 | $0.00008 | $0.00489 |
| Haiku 4.5 | $0.00004 | $0.00244 |
Grade A, and why
browser 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 11d 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.
This is a copy
89% identical to browser — 27 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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。
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.
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.
- 11d ago First seen · 195 lines · 41 tokens per session scan A 7852f7ec6d52
browser is a skill published in the GitHub repository agentscope-ai/QwenPaw (34,741 stars, last pushed today), licensed Apache-2.0. It adds 41 tokens to every session and 2,443 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to browser, differing in 27 lines, and is treated as a copy.
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