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Agent Skill · 研究检索

surfagent-browser-operations(surfagent 浏览器操作)

surfagent-browser-operations 用于处理浏览器自动化、网页检查和页面信息提取,适合在 OpenClaw 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

surfagent-browser-operations 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为操作浏览器;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 28,026。

总安装 3,288周安装 137GitHub Stars 公开资料未说明下载 1,096核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.1.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:surfagent-browser-operations(surfagent 浏览器操作)
来源仓库:https://github.com/surfagentapp/surfagent-browser-operations
安装命令:
openclaw skills install surfagent-browser-operations
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install surfagent-browser-operations

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

核心浏览器操作技能支持选项卡规则与感知优先执行。适用于多步骤 Web 工作流自动化。surfagent-browser-operations 属于研究检索类 Skill,可作为该场景下的辅助能力补充。需配合 SurfAgent 框架使用。建议阅读官方文档了解规则引擎配置方法。

注意遵守目标网站的 robots.txt 协议。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install surfagent-browser-operations;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

surfagent-browser-operations 怎么安装?

在终端执行 openclaw skills install surfagent-browser-operations。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

surfagent-browser-operations 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

surfagent-browser-operations 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

surfagent-browser-operations 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

surfagent-browser-operations 用的人多吗?

公开数据是累计安装 3,288 次,近一周安装 137 次,下载 1,096 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

surfagent-browser-operations 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
surfagent-browser-operations

surfagent 浏览器操作 · 本页

3,288—操作浏览器MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
browser-operations
description
Core browser operations skill for SurfAgent and similar browser agents, covering tab discipline, perception-first execution, human-like driving, proof rules, and token-efficient fallback patterns.
version
1.1.0
metadata
openclaw
homepage
https://surfagent.app
emoji
🧭

Browser Operations

The core skill. Use this before any site-specific skill.

This file teaches the universal rules for driving a real browser without making a mess, wasting tokens, or lying about success.

1. What this skill is for

Use this skill for:

  • browser hygiene
  • tab hygiene
  • perception-first workflow
  • autonomy loops
  • human-like interaction patterns
  • token-efficiency rules
  • generic fallback and recovery patterns
  • proof rules

Use a platform skill after this one when you are on a known site like Gmail, X, Discord, or GitHub.

2. Non-negotiables

  1. One active work tab per target site unless a second tab is clearly justified.
  2. Reuse a healthy tab before opening a new one.
  3. Perceive state before acting.
  4. Verify visible results after acting.
  5. Prefer low-token state and perception tools over giant raw reads.
  6. Do not claim success from an attempted click or type alone.
  7. If retries create tab sprawl, stop and clean up before continuing.

3. Tool selection ladder

Default order:

  1. perception or state layer first
  2. platform adapter second
  3. MCP server when available and stronger for the job
  4. raw browser actions only as fallback

Interpretation:

  • Start with the cheapest reliable understanding layer.
  • Use site-specific abstractions when they reduce error rate or token burn.
  • Fall back to raw browser control only when the higher-level tools are missing or insufficient.

4. Browser hygiene

Before work:

  • inspect open tabs
  • choose the tab you will operate
  • confirm URL, title, and whether it is already logged in

During work:

  • keep a clear tab budget
  • avoid duplicate retries on the same site
  • if a tab becomes stale or broken, hand off to one fresh tab and close the stale one

After work:

  • close throwaway tabs
  • leave the browser in a clean, explainable state

5. Tab hygiene

Healthy pattern:

  • one site, one active tab
  • one deliberate exception if comparison, auth handoff, or reference context is required

Unhealthy pattern:

  • multiple duplicate tabs from retries
  • stale tabs left open after handoff
  • guessing which tab is live instead of checking

If tab state is unclear, stop and re-enumerate before acting.

6. Perception-first loop

Use this loop by default:

  1. perceive or inspect state
  2. choose the next action
  3. act once
  4. diff or verify what changed
  5. repeat only if the page state supports the next step

Ask after every action:

  • what changed?
  • did the intended element update?
  • did a blocker appear?
  • is the page now in a different mode?

If the surface is visually dense, stateful, or contradictory, escalate to a screenshot or visual snapshot early.

Examples where visual confirmation should happen fast:

  • account switchers
  • modals and drawers
  • multi-mode composers
  • community or group posting surfaces
  • pages where DOM extraction and visible state disagree

Rule: do not keep arguing with partial extraction when one screenshot can settle the page state.

7. Autonomy layer

The autonomy layer should be small and disciplined.

Use short plan-act-verify cycles:

  • identify the immediate goal
  • take one concrete action
  • verify the result
  • update the local plan from evidence, not hope

Do not queue five blind actions in a row on a dynamic site.

8. Human-like driving

Drive like a careful operator, not a broken macro:

  • prefer deliberate clicks over frantic retries
  • wait for visible state changes, not arbitrary long sleeps
  • scroll only when needed
  • type into the intended field once it is confirmed focused or targeted
  • avoid racing modals, redirects, or page transitions

Human-like does not mean fake random noise. It means paced, state-aware interaction.

9. Token-efficiency rules

Always prefer:

  • structured state over full DOM dumps
  • perception summaries over giant page reads
  • targeted evaluate calls over broad scraping
  • delta checks over repeated full snapshots
  • platform adapters and MCPs when they compress the task safely

Avoid:

  • repeated giant browser reads
  • dumping full HTML when only one field matters
  • re-reading unchanged screens
  • broad selector fishing when the page can be classified first

10. Fallback ladder

If the ideal path fails:

  1. verify page state again
  2. take a screenshot or visual snapshot if the surface is ambiguous
  3. retry with a more precise selector or ref
  4. switch to site adapter or MCP if available
  5. recover page state, refocus, dismiss blocker, or reload
  6. move to one fresh tab if the current one is poisoned
  7. escalate to a platform skill or ask for human input only when the blocker is real

11. Common blockers

Watch for:

  • cookie banners
  • consent modals
  • auth walls
  • captcha or verification gates
  • stale session pages
  • hidden compose or modal state
  • frozen or half-loaded tabs

For each blocker:

  • name it plainly
  • confirm it is real
  • say whether it is auto-resolvable, retryable, or human-blocked

12. Proof rules

Success requires visible evidence.

Good proof usually includes:

  • correct page or modal is open
  • intended field values are present
  • intended action completed
  • resulting state is visible in UI
  • follow-up render or post-action state confirms success

Examples:

  • sent email: compose populated, send confirmation shown, sent message renders correctly
  • login: auth state changed, destination page loaded, account identity visible
  • posted message: composer cleared or closed, new post visible in timeline or thread
  • saved setting: toggle/value changed and persists on reload or revisiting

Bad proof:

  • click returned ok
  • selector existed
  • no error was thrown
  • assistant assumes the action worked

13. When to use platform skills

Use a platform skill when the site has:

  • known brittle selectors
  • special editor behavior
  • auth or trust-safety edge cases
  • better adapters or MCP tools
  • site-specific proof requirements

Priority first set:

  • Gmail
  • X/Twitter
  • Discord
  • GitHub

14. Minimal operating checklist

Before claiming done, confirm:

  • right tab
  • right account
  • right page state
  • action executed
  • visible result verified
  • spare tabs cleaned up

If a page was complex enough to confuse state during the run, add a short note to the platform skill or state map afterward so the next agent does not have to rediscover it.

15. Output contract for agents

When reporting progress:

  • say what changed, not what you hoped would happen
  • call out blockers immediately
  • distinguish attempted from verified
  • keep the summary short and evidence-based

16. Relationship to other docs

This is the universal browser brain.

Pair it with:

  • platform skills for site-specific behavior
  • MCP or adapter docs for capability selection
  • runtime wrappers for Claude Code, Codex, Cursor, Hermes, and others

平台分布

OpenClaw

79.98%
按下载量换算877

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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