Borrowing it
Nothing to install: this file belongs to clxzl/claude-code-best-practice-cn. 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/clxzl/claude-code-best-practice-cn/main/.claude/skills/agent-browser/SKILL.mdgit clone --depth 1 https://github.com/clxzl/claude-code-best-practice-cnWrote 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/clxzl/claude-code-best-practice-cn/agent-browser)<a href="https://agentmods.dev/skills/clxzl/claude-code-best-practice-cn/agent-browser"><img src="https://agentmods.dev/badge/skills/clxzl/claude-code-best-practice-cn/agent-browser.svg" alt="Measured on agentmods" 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 | $0.00125 | $0.01966 |
| Opus 5 | $0.00063 | $0.00983 |
| Sonnet 5 | $0.00025 | $0.00393 |
| Haiku 4.5 | $0.00013 | $0.00197 |
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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 219 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
每个浏览器自动化都遵循以下模式：
- 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 变更后，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
```bash
# 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 # 带引用的交互元素（推荐）
agent-browser snapshot -i -C # 包含光标交互元素（带有 onclick、cursor:pointer 的 div）
agent-browser snapshot -s "#selector" # 限定到 CSS 选择器范围
# 交互（使用快照中的 @引用）
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" # 输入文本（不清除）
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 # 等待元素出现
agent-browser wait --load networkidle # 等待网络空闲
agent-browser wait --url "**/page" # 等待 URL 匹配模式
agent-browser wait 2000 # 等待毫秒数
# 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 打开 https://example.com/signup
agent-browser 截图 -i
agent-browser 填写 @e1 "Jane Doe"
agent-browser 填写 @e2 "[email protected]"
agent-browser 选择 @e3 "California"
agent-browser 勾选 @e4
agent-browser 点击 @e5
agent-browser 等待网络空闲 --load networkidle
带状态持久化的身份验证
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.
- 7d ago First seen · 219 lines · 125 tokens per session scan A 58e028de6320
agent-browser is a skill published in the GitHub repository clxzl/claude-code-best-practice-cn (127 stars, last pushed 3mo ago), licensed MIT. It adds 125 tokens to every session and 1,966 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 2026-08-30.
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