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china-claw中国爪

Agent Skill

china-claw 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

6,774

周安装

288

GitHub Stars

公开资料未说明

下载量

2,373
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:china-claw(中国爪)
来源仓库:https://github.com/harrylabsj/china-claw
安装命令:
openclaw skills install china-claw
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 china-claw

简介

china-claw 按公司与产品定位研究中国市场的平替选项。

  • 适合竞品分析与替代方案探索时使用。
  • 输出包含功能对比与市场定位说明。china-claw 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 安装命令为 openclaw skills install china-claw,需访问商业情报接口。
  • 建议结合实地调研验证产品实际表现与用户反馈。

SKILL.md

name
china-claw
description
Research and introduce China-based alternatives, counterparts, or “平替” products to OpenClaw, organized by company and product positioning. Use when the user asks about 国内版 OpenClaw、OpenClaw 平替、中国公司做的类似产品、国产 agent 平台、国产多智能体/自动化助手产品, or wants a structured market overview rather than a single product recommendation.

China Claw

Overview

Use this skill to research and explain Chinese products that can be described as OpenClaw-like alternatives or adjacent substitutes. Focus on factual positioning, what each company built, how it compares to OpenClaw, and where the match is strong, partial, or weak.

Workflow

  1. Clarify the user's goal when needed:

- wanting a market map - wanting a shortlist - wanting one best recommendation - wanting products by company size, use case, or capability

  1. Search the web for recent information about Chinese companies and products related to:

- AI agent platforms - workflow automation assistants - multi-agent systems - enterprise AI copilots - tool-using AI assistants

  1. Read multiple sources before concluding.
  2. Group findings by company, not by random web page.
  3. For each product, state whether it is:

- close substitute - partial substitute - adjacent product

  1. End with a recommendation or ranking if the user wants a decision.

Search Strategy

Prefer Chinese search queries and combine product, company, and capability terms.

Recommended query patterns:

  • 国产 OpenClaw 平替
  • 中国 AI agent 平台 公司
  • 国内 多智能体 产品
  • 企业级 AI 助手 平台 中国 公司
  • 智能体 工作流 平台 中国
  • AI 自动化 助手 平台 国内
  • <公司名> AI agent
  • <产品名> 智能体 平台

If you already know likely companies, verify them with current sources instead of relying on memory.

Comparison Rules

Compare each product along these axes:

  • 定位: personal assistant, enterprise copilot, workflow platform, agent builder, browser automation, knowledge assistant
  • 目标用户: individual users, developers, operations teams, enterprises
  • 核心能力: tool use, workflow orchestration, browser actions, knowledge retrieval, scheduling, integrations
  • 开放性: configurable, extensible, developer-friendly, closed SaaS, internal-only
  • 与 OpenClaw 的相似度: high / medium / low

Do not call something a “平替” just because it uses AI. The product should overlap with OpenClaw in at least part of the workflow: assistant orchestration, tools, agents, automation, messaging, memory, or operator-style execution.

Evidence Standards

  • Prefer official sites, product docs, launch posts, GitHub pages, or reputable media coverage.
  • Avoid writing from hype or marketing copy alone.
  • If a product appears discontinued, niche, invite-only, or poorly evidenced, say so.
  • If information is thin, mark the confidence as low.
  • Do not fabricate features.

Response Patterns

Pattern A: Market Overview

Use when the user asks broadly for “有哪些”.

For each company/product, provide:

  • 公司
  • 产品
  • 一句话定位
  • 为什么像 OpenClaw
  • 主要差异
  • 相似度判断

Then add:

  • 推荐先关注的 3 个
  • 哪类用户适合哪类产品

Pattern B: Shortlist Recommendation

Use when the user wants actionable recommendations.

Structure:

  • 用户需求假设
  • 3-5 个最相关产品
  • 每个产品的适配理由
  • 明确推荐项
  • 不推荐或暂不推荐的原因

Pattern C: Company-by-Company Scan

Use when the user names specific companies such as 阿里、字节、百度、腾讯、MiniMax、智谱、月之暗面、面壁等.

For each company:

  • 是否有相关产品
  • 产品名称
  • 与 OpenClaw 的重合点
  • 更偏企业、开发者还是消费者
  • 当前成熟度判断

Output Quality Bar

  • Be specific, not generic.
  • Distinguish between “agent platform”, “copilot”, and “chatbot”.
  • Prefer recent information when product categories move quickly.
  • If the user asks for “各大公司”, include large companies first, then notable startups.
  • If the evidence is weak, say “更像相关方向产品,不一定算直接平替”.

Good Framing Language

Preferred wording:

  • 更像 OpenClaw 的部分替代品
  • 在工作流/智能体编排层面与 OpenClaw 接近
  • 更偏企业内部助手,不是完全对标
  • 属于相邻赛道,不算严格意义上的平替

Avoid overstated wording:

  • 完全替代
  • 中国版 OpenClaw unless a source explicitly positions it that way or the similarity is genuinely strong.

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

83.19%
按下载量换算1,974

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。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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