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多平台数据聚合
作者
yayale-Deng
· GitHub ↗
· v1.0.0
· MIT-0
36
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当前安装
1
版本数
在 OpenClaw 中安装
/install crossdata
功能描述
整合多个电商及社交平台公开数据,提供标准化竞品价格、销量和市场分析,支持多市场多平台的实时查询。
使用说明 (SKILL.md)
CrossData
CrossData - 多平台数据聚合技能
功能描述
整合多个电商及社交媒体平台的数据,提供标准化的竞品分析数据,解决单一平台数据孤岛问题。
输入参数
keywords: 搜索关键词(数组),如["USB-C fast charger", "Type-C 快充"]targetMarkets: 目标市场列表,如["Russia", "Brazil", "MiddleEast", "SoutheastAsia", "Europe"]priceRange: 价格区间(美元),如{"min": 5, "max": 50}sourcePlatforms: 数据来源平台,支持["aliexpress", "1688", "tiktok", "amazon"]limit: 每平台最大返回数量,默认 20
输出格式
{
"productData": [
{
"platform": "aliexpress",
"productName": "65W USB-C Fast Charger",
"price": 24.99,
"sales": 2847,
"rating": 4.8,
"shipping": "无忧集运"
}
],
"summary": {
"totalProducts": 50,
"avgPrice": 25.17,
"priceDistribution": {"low": 0.2, "mid": 0.5, "high": 0.3},
"topMarkets": ["Russia", "Brazil"]
}
}
使用示例
{
"keywords": ["USB-C fast charger", "65W Type-C"],
"targetMarkets": ["Russia", "Brazil"],
"priceRange": {"min": 5, "max": 50},
"sourcePlatforms": ["aliexpress", "1688"],
"limit": 30
}
权限说明
- 需要 ClawHub token:
clh_dfYBmWi76_VPBJhUkwRoK8BWpQ4m1IV47bAHieANjVA - 访问多个平台的公开数据权限
- 数据聚合与清洗权限
备注
- 当前版本需 ClawHub token 激活
- 数据刷新频率为实时
- 输出格式支持 JSON/CSV
安全使用建议
Do not install or use this skill until the author clarifies the following: (1) what 'ClawHub' is and why a single token is sufficient for multiple platforms; (2) whether the token embedded in SKILL.md is a real/active secret (if real, treat it as leaked and rotate it immediately); (3) what network endpoints the skill will call and what data will be sent or stored externally; (4) which credentials (if any) are actually required for each source platform and how they should be provided (env vars, secure storage); and (5) an explicit privacy/data usage policy. If you must proceed, insist on a version that removes hardcoded credentials, declares required env vars, documents endpoints, and limits permissions to least privilege.
功能分析
Type: OpenClaw Skill
Name: crossdata
Version: 1.0.0
The skill documentation (SKILL.md) contains a hardcoded API token (clh_dfYBmWi76_VPBJhUkwRoK8BWpQ4m1IV47bAHieANjVA) within the permissions section. Hardcoding credentials in instructions intended for an AI agent is a significant security vulnerability that could lead to unauthorized access or tracking of the agent's activities, though no executable code was provided to confirm intentional malicious exploitation.
能力评估
Purpose & Capability
The skill's name/description (aggregating e‑commerce and social platform public data) matches the inputs and output schema in SKILL.md. However, for real aggregation you'd normally expect declared API keys or clear scraping guidance for each source (Amazon, TikTok, 1688, AliExpress). The skill does not declare those, instead referencing a single 'ClawHub token' without explaining what ClawHub is or why one token suffices for multiple platforms.
Instruction Scope
SKILL.md does not include explicit commands or endpoints, but it explicitly states '需要 ClawHub token' and embeds a concrete token string. There is no instruction for how the token is passed (env var name), what service endpoints will be called, or what data is transmitted. Embedding a credential in the instructions is a red flag and the lack of endpoint/usage detail makes runtime behavior unclear.
Install Mechanism
Instruction-only skill with no install spec and no code files — this has lower install risk because nothing is written to disk. However, absence of code makes it impossible to verify what network calls would be made at runtime, increasing the need for clarity in the SKILL.md.
Credentials
Registry metadata lists no required env vars, but SKILL.md demands a ClawHub token and even provides a literal token. The token's presence is disproportionate and unexplained: either it's a placeholder (should not be published) or it's a leaked secret. There is no justification for other platform credentials (Amazon, TikTok) or description of least-privilege access.
Persistence & Privilege
The skill does not request always:true or system-wide changes and is user-invocable only. Autonomous invocation is allowed by default but not combined here with other elevated privileges, so no extra persistence/privilege flags are present.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install crossdata - 安装完成后,直接呼叫该 Skill 的名称或使用
/crossdata触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: AliExpress + 1688 + TikTok data aggregation
元数据
常见问题
多平台数据聚合 是什么?
整合多个电商及社交平台公开数据,提供标准化竞品价格、销量和市场分析,支持多市场多平台的实时查询。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 36 次。
如何安装 多平台数据聚合?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install crossdata」即可一键安装,无需额外配置。
多平台数据聚合 是免费的吗?
是的,多平台数据聚合 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
多平台数据聚合 支持哪些平台?
多平台数据聚合 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 多平台数据聚合?
由 yayale-Deng(@yayale-deng)开发并维护,当前版本 v1.0.0。
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