Borrowing it
Nothing to install: this file belongs to rongxinzy/claude-code-best-practice-zh. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/rongxinzy/claude-code-best-practice-zh/main/.claude/skills/agent-browser/SKILL.mdgit clone --depth 1 https://github.com/rongxinzy/claude-code-best-practice-zhWrote 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/rongxinzy/claude-code-best-practice-zh/agent-browser)<a href="https://agentmods.dev/skills/rongxinzy/claude-code-best-practice-zh/agent-browser"><img src="https://agentmods.dev/badge/skills/rongxinzy/claude-code-best-practice-zh/agent-browser/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/rongxinzy/claude-code-best-practice-zh/agent-browser"><img src="https://agentmods.dev/badge/skills/rongxinzy/claude-code-best-practice-zh/agent-browser.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00117 | $0.01906 |
| Opus 5 | $0.00059 | $0.00953 |
| Sonnet 5 | $0.00023 | $0.00381 |
| Haiku 4.5 | $0.00012 | $0.00191 |
Grade A, and why
agent-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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- agent-browser — 94% identical, 88 lines differ
How it starts
The opening of the file, as written. The whole thing — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
使用 agent-browser 进行浏览器自动化
核心工作流程
每个浏览器自动化都遵循此模式：
- 导航：
agent-browser open <url> - 快照：
agent-browser snapshot -i（获取元素引用如@e1,@e2） - 交互：使用引用进行点击、填写、选择
- 重新快照：在导航或 DOM 变化后，获取新的引用
agent-browser open https://example.com/form
agent-browser snapshot -i
# 输出：@e1 [input type="email"], @e2 [input type="password"], @e3 [button] "Submit"
agent-browser fill @e1 "[email protected]"
agent-browser fill @e2 "password123"
agent-browser click @e3
agent-browser wait --load networkidle
agent-browser snapshot -i # 检查结果
基本命令
# 导航
agent-browser open <url> # 导航（别名：goto, navigate）
agent-browser close # 关闭浏览器
# 快照
agent-browser snapshot -i # 带引用的交互式元素（推荐）
agent-browser snapshot -i -C # 包含光标交互式元素（带 onclick、cursor:pointer 的 div）
agent-browser snapshot -s "#selector" # 限定到 CSS 选择器
# 交互（使用来自 snapshot 的 @refs）
agent-browser click @e1 # 点击元素
agent-browser fill @e2 "text" # 清除并输入文本
agent-browser type @e2 "text" # 不清除直接输入
agent-browser select @e1 "option" # 选择下拉选项
agent-browser check @e1 # 勾选复选框
agent-browser press Enter # 按键
agent-browser scroll down 500 # 滚动页面
# 获取信息
agent-browser get text @e1 # 获取元素文本
agent-browser get url # 获取当前 URL
agent-browser get title # 获取页面标题
# 等待
agent-browser wait @e1 # 等待元素
agent-browser wait --load networkidle # 等待网络空闲
agent-browser wait --url "**/page" # 等待 URL 模式匹配
agent-browser wait 2000 # 等待指定毫秒数
# 捕获
agent-browser screenshot # 截图到临时目录
agent-browser screenshot --full # 全页面截图
agent-browser pdf output.pdf # 保存为 PDF
常见模式
表单提交
agent-browser open https://example.com/signup
agent-browser snapshot -i
agent-browser fill @e1 "Jane Doe"
agent-browser fill @e2 "[email protected]"
agent-browser select @e3 "California"
agent-browser check @e4
agent-browser click @e5
agent-browser wait --load networkidle
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.
- 9d ago First seen · 218 lines · 117 tokens per session scan A 0306639f40bc
agent-browser is a skill published in the GitHub repository rongxinzy/claude-code-best-practice-zh (6 stars, last pushed 4mo ago), licensed MIT. It adds 117 tokens to every session and 1,906 once invoked, about $0.0006 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 2026-08-31.
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