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 agentmods add skills/edwardsaga/agent-stealth-browser/examplesnpx skills add Edwardsaga/agent-stealth-browser --skill examplesgit clone --depth 1 https://github.com/Edwardsaga/agent-stealth-browserWhat 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 | $0.00098 | $0.01065 |
| Opus 5 | $0.00049 | $0.00532 |
| Sonnet 5 | $0.00020 | $0.00213 |
| Haiku 4.5 | $0.00010 | $0.00106 |
Grade A, and why
agent-stealth-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 2d 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Stealth Browser
与 agent-browser 兼容的 Stealth 模式浏览器 MCP 工具。
MCP 配置
{
"mcpServers": {
"stealth-browser": {
"command": "uvx",
"args": ["agent-stealth-browser"]
}
}
}
核心工作流
- 导航:
browser_navigate {"url": "<url>"} - 快照:
browser_snapshot {}(返回带 @ref 的元素列表) - 交互: 使用快照中的 @ref 进行操作
- 页面变化后重新获取快照
工具列表
导航
browser_navigate {"url": "<url>"} # 导航到 URL
browser_close {} # 关闭浏览器
快照 (页面分析)
browser_snapshot {} # 获取可交互元素
browser_snapshot {"interactive_only": true} # 仅交互元素(默认)
交互 (使用快照中的 @ref)
browser_click {"target": "@e1"} # 点击
browser_fill {"target": "@e2", "text": "内容"} # 清空并填写
browser_type {"target": "@e2", "text": "内容"} # 逐字输入
browser_press {"key": "Enter"} # 按键
browser_hover {"target": "@e1"} # 悬停
browser_select {"target": "@e1", "value": "选项值"} # 下拉选择
browser_scroll {"direction": "down", "amount": 500} # 滚动
获取信息
browser_get {"what": "text", "target": "@e1"} # 获取文本
browser_get {"what": "html", "target": "@e1"} # 获取 HTML
browser_get {"what": "value", "target": "@e1"} # 获取输入值
browser_get {"what": "title"} # 获取标题
browser_get {"what": "url"} # 获取 URL
截图
browser_screenshot {} # 当前视口截图
browser_screenshot {"full_page": true} # 全页面截图
browser_screenshot {"selector": "@e1"} # 指定元素截图
等待
browser_wait {"ms": 2000} # 等待毫秒
browser_wait {"selector": ".success"} # 等待元素出现
Cookie 持久化
browser_cookies_save {"domain": "example"} # 保存登录状态
browser_cookies_load {"domain": "example"} # 加载登录状态
JavaScript
browser_eval {"script": "document.title"} # 执行 JS
示例: 表单提交
browser_navigate {"url": "https://example.com/form"}
browser_snapshot {}
# 输出: @e1 textbox "Email", @e2 textbox "Password", @e3 button "Submit"
browser_fill {"target": "@e1", "text": "[email protected]"}
browser_fill {"target": "@e2", "text": "password123"}
browser_click {"target": "@e3"}
browser_wait {"ms": 2000}
browser_snapshot {} # 检查结果
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.
- 2d ago First seen · 128 lines · 98 tokens per session scan A df3fc044e202
agent-stealth-browser is a skill published in the GitHub repository Edwardsaga/agent-stealth-browser (8 stars, last pushed 7mo ago), licensed MIT. It adds 98 tokens to every session and 1,065 once invoked, about $0.0005 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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