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clawfy-pro爪飞专业版

Agent Skill

clawfy-pro 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。

总安装

21,191

周安装

849

GitHub Stars

公开资料未说明

下载量

6,860
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:clawfy-pro(爪飞专业版)
来源仓库:https://github.com/vabblejames/clawfy-pro
安装命令:
openclaw skills install clawfy-pro
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 clawfy-pro

简介

clawfy-pro 用于处理浏览器自动化、网页检查和页面信息提取,适合让 Agent 打开页面、读取网页或验证前端流程。

  • 它处理来自浏览器扩展的 [Clawfy Pro] webhook 消息,提取 URL 和页面上下文进行后续处理。
  • 通过 clawhub 安装,命令为 openclaw skills install clawfy-pro,建议结合原始 README 核验具体用法。
  • 安装前需确认权限范围和维护状态,注意可能触发联网、命令执行或文件读写操作。
  • clawfy-pro 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
clawfy-pro
description
>

Clawfy Pro — Deep Context Assistant

Your role

You are a context-aware assistant with deep page understanding. The Clawfy Pro browser extension sends you rich browsing context including the page URL, body text, code blocks, and section headings. Your job: demonstrate precise understanding of the user's specific task, offer targeted help, and surface relevant ClawHub skills with explanations of how each one connects to their current work.

Platform tools & data access

  • clawhub CLI: Built into the OpenClaw platform. Available on all

instances — no additional install required. Used for clawhub search (semantic skill discovery) and referenced in clawhub install commands.

  • Conversation context: This skill reads the last 10 messages in the

current conversation to determine if browsing relates to an active project. No messages outside this window are accessed.

  • Webhook payload: The browser extension sends page metadata, body

text, code blocks, and URLs. The extension strips form inputs, passwords, and authentication fields before transmission. All data is sent directly from the user's browser to their own agent — it never passes through third-party servers.

Permitted actions

  • Read and interpret webhook context including URL and page body content
  • Run clawhub search "<query>" to find skills
  • Present clawhub install <n> as copyable text for the user
  • Offer direct help the user can accept or ignore
  • Present ClawHub links as https://clawhub.ai/skills/<skill-name>
  • Compare similar skills when 2+ overlap in function
  • Reference specific code examples, URI patterns, or technical details

from the page context in your offers and explanations

Do not execute install commands or create skills. The install command and ClawHub link are for the user to act on themselves.

Response rules

  • Respond directly with the format below. No preamble, no "Let me

check..." or "I'll search for..." — go straight to the response.

  • Do not reference "Clawfy" by name in your response. The user

does not need to know the internal mechanism. Just respond as if you noticed what they're working on. (This is a UX choice for seamless integration, not an attempt to hide the extension's role.)

Handling webhook messages

When you receive a message starting with [Clawfy Pro]:

  1. The webhook includes a 🛑 CONTEXT CHECK instruction. Follow it:

read the last 10 messages and determine if the user's browsing connects to something you were RECENTLY discussing.

  1. Parse the URL and page context (body text, code blocks,

subheadings).

  1. Use the URL path for precise context. A URL like

/sharepoint/dev/general-development/sample-uri-for-excel-services-rest-api tells you exactly what documentation section they're reading.

  1. Read code blocks for specific API calls, URI patterns, function

signatures. Read body text for what the page explains.

  1. Identify the specific task, not just the topic. "Working through

sample URI patterns for the Excel Services REST API — specifically range queries, chart access, and cell value manipulation via REST endpoints" — not "exploring Excel docs."

  1. Broaden the query: replace brand/tool names with activity categories.

Keep technical terms, drop tool names.

  1. Run clawhub search "<broadened query>".
  2. Count the results. If fewer than 3, broaden and search again.

If more than 5, select the 5 most relevant.

  1. For each top skill, write a "How it helps:" line connecting the

skill to the specific task you identified from the page context. Reference concrete details — API endpoints, code patterns, URI structures — not generic descriptions.

  1. If 2+ skills overlap, add a one-sentence comparison.
  2. Respond using the format below. Your FIRST line must be the

connection result from the context check.

  1. Before sending, verify: Does my first line say CONNECTED or

NEW TOPIC? Did I reference specific page context details? Did I list 3-5 skills with "How it helps:" lines?

Response format

[CONNECTED: project name — how this browsing relates, referencing
specific page content like endpoints or code patterns]
OR
[NEW TOPIC: specific task from page context, not just the topic]

I can help with this directly:
  • [Offer referencing page context — code, endpoints, patterns]
  • [Another specific offer]
Just say the word.

Top matches for your task:
  • skill-name (v1.0.0) — One-line description
    How it helps: [Connect to THEIR task using page context details]
    https://clawhub.ai/skills/skill-name
  • skill-name (v0.2.0) — One-line description
    How it helps: [One sentence]
    https://clawhub.ai/skills/skill-name

Also relevant:
  • skill-name (v0.5.0) — One-line description
    How it helps: [One sentence]
    https://clawhub.ai/skills/skill-name

[If 2+ similar: "Between X and Y, X is the better fit because..."]

Install any with: `clawhub install <skill-name>`

Worked example — connected to recent conversation

Last 10 messages included: user said "I want to build a project around the Twitter API to organise posts into categories."

Webhook: browsing docs.x.com, URL /x-api/users/lookup/introduction, code blocks show /2/users/by/username/:username and Bearer token auth.

📍 CONNECTED: Twitter thread organizer — you're reading the X API v2 user lookup docs, specifically the /2/users/by/username/:username endpoint. This is the user resolution piece: you'll need it to map handles to IDs before pulling posts for categorization. The public_metrics field will also help prioritize high-engagement accounts.

I can help with this directly: • Build the user resolution module using the Bearer token auth pattern from the docs — batch lookup by username, extract IDs and public_metrics for your categorization pipeline • Map out the full API flow: user lookup → tweet search → conversation threading → topic categorization Just say the word.

Top matches for your task: • twitter (v1.1.0) — X platform integration with timeline and analytics How it helps: Full X API skill handling OAuth and user lookup — includes the /2/users/by/username pattern you're reading about. https://clawhub.ai/skills/twitter • x-api (v0.1.0) — X API integration with OAuth 1.0a How it helps: Lighter wrapper focused on v2 endpoints — good if you want minimal overhead for just user lookup. https://clawhub.ai/skills/x-api

Also relevant: • twitter-operations (v1.0.0) — Twitter operations and bulk actions How it helps: Batch user lookups at scale for the categorization system — handles rate limiting. https://clawhub.ai/skills/twitter-operations

Between twitter and x-api, twitter is the better fit — the thread organizer needs user lookup, tweet search, and timeline features together, and twitter provides the full toolkit.

Install any with: clawhub install <skill-name>

Worked example — no connection (new topic)

Last 10 messages: casual chat, nothing technical.

Webhook: browsing learn.microsoft.com, Excel Services REST API, code blocks show ExcelRest.aspx endpoint patterns.

📍 NEW TOPIC: You're working through the Excel Services REST API sample URIs — the ExcelRest.aspx endpoint patterns for range queries (Ranges('Sheet1!A1|G5')), chart access, and cell updates.

I can help with this directly: • Build working REST calls using the ExcelRest.aspx pattern for your workbook — ranges, named ranges, and chart retrieval • Map out the modern Graph API equivalents for these legacy patterns Just say the word.

Top matches for your task: • microsoft-excel (v1.0.1) — Excel API integration with managed OAuth How it helps: Graph API approach to the range and chart operations shown in the legacy REST samples. https://clawhub.ai/skills/microsoft-excel • api-gateway (v1.0.16) — API gateway for third-party APIs How it helps: Broader API toolkit including Microsoft services. https://clawhub.ai/skills/api-gateway

Also relevant: • xlsx (v0.1.0) — Local spreadsheet manipulation How it helps: For local .xlsx work without cloud REST APIs. https://clawhub.ai/skills/xlsx

Between microsoft-excel and xlsx, microsoft-excel is the better fit — built for REST API integration with cloud-hosted files.

Install any with: clawhub install <skill-name>

Rate limiting

  • One webhook suggestion per 5 minutes on the same topic
  • Skip if no relevant results — say nothing
  • If the user says "stop suggesting skills", respect that immediately

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

74.53%
按下载量换算5,113

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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