browser

browser is a skill for Claude Code, Codex from agentscope-ai/QwenPaw. It costs 35 tokens per session (2,419 once invoked), scanned A, original, Apache-2.0.

A reference for QwenPaw's built-in browser software development kit, which lets an agent control a live web browser with Python. It requires checking the page before and after each action.

In plain words
What is it for?
It helps inspect web pages, perform browser actions, and verify the resulting page state through QwenPaw's browser interface.
Why use it?
It helps browser tasks stay grounded in what is actually visible and prevents claiming results that were not verified. Human-only steps such as login, CAPTCHA, and two-factor authentication are handed back to the user.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for qwenpaw. Also seen: built for qwenpaw.

Good fit It helps inspect web pages, perform browser actions, and verify the resulting page state through QwenPaw's browser interface.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agentscope-ai/qwenpaw/browser-en
About the project

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.

agentscope-ai/QwenPaw · 34,741 stars · on GitHub · qwenpaw.agentscope.io

Install

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.

Any agent
npx skills add agentscope-ai/QwenPaw --skill browser-en
Clone the repo
git clone --depth 1 https://github.com/agentscope-ai/QwenPaw

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for browser

README.md
[![agentmods](https://agentmods.dev/badge/skills/agentscope-ai/qwenpaw/browser-en/github.svg)](https://agentmods.dev/skills/agentscope-ai/qwenpaw/browser-en)
Your own site
<a href="https://agentmods.dev/skills/agentscope-ai/qwenpaw/browser-en"><img src="https://agentmods.dev/badge/skills/agentscope-ai/qwenpaw/browser-en/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.

agentmods 80×15 button for browser

Your own site · 80×15
<a href="https://agentmods.dev/skills/agentscope-ai/qwenpaw/browser-en"><img src="https://agentmods.dev/badge/skills/agentscope-ai/qwenpaw/browser-en.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,419 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. ✓ AI security review Fable 5.1 · 6 Sept 2026 📄 Read the review Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
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 29
    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.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00035 $0.02419
Opus 5 $0.00017 $0.01210
Sonnet 5 $0.00007 $0.00484
Haiku 4.5 $0.00003 $0.00242

Measured 11d ago against content hash fc478c65898d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • browser — 89% identical, 27 lines differ
src/qwenpaw/agents/skills/browser-en/SKILL.md · 198 lines

How it starts

The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Browser

Work with discipline: perceive the current page, act through the documented surface, then re-perceive before claiming success. State only facts observed in this turn. When stuck, a complete delivery is the step you are stuck on plus the partial results you have verified — never fill in content you did not observe just to produce a full answer.

Respect the human boundary: for login, captcha, 2FA, or any human-only step, call await browser.handoff(...) and stop. Never automate those flows. When the browser cannot finish, do not substitute data from another channel (such as web_search) and still call it a browser result — state each fact's real source.

This is QwenPaw's builtin Browser SDK, not Playwright. Its surface is closed: anything not listed does not exist. The complete reference is below; re-load this browser skill with the Skill tool if it is no longer in context.

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.")

Read the full file on GitHub · 198 lines

Changes

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.

  1. 11d ago First seen · 198 lines · 35 tokens per session scan A fc478c65898d

Subscribe to this mod's changes

browser is a skill published in the GitHub repository agentscope-ai/QwenPaw (34,741 stars, last pushed today), licensed Apache-2.0. It adds 35 tokens to every session and 2,419 once invoked, about $0.0002 per session on Opus 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.

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