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Tmall
作者
codenova58
· GitHub ↗
· v0.1.0
· MIT-0
264
总下载
0
收藏
2
当前安装
1
版本数
在 OpenClaw 中安装
/install tmall
功能描述
提供天猫品牌旗舰店和商品详情的价格、销量与评价摘要及同类商品对比，供内部分析和提醒。
安全使用建议
This skill appears coherent and limited to analyzing public Tmall pages, but consider these practical points before installing: (1) Legal/ToS: check Tmall's terms of service and your organization's policy — automated scraping may be disallowed even for public pages. (2) Anti-bot risk: follow the SKILL.md advice (rate limiting, avoid bulk harvesting, prefer manual page opening when needed) to reduce detection. (3) Data sensitivity: avoid collecting or storing personally identifiable information from reviews. (4) Agent capabilities: because the skill is instruction-only, your agent's browsing/network capabilities determine behavior — review logs and consider disabling autonomous invocation if you don't want the agent to browse Tmall without explicit approval. (5) If you need sustained automation at scale, prefer a designed integration or explicit permission from the site rather than ad-hoc scraping.
功能分析
Type: OpenClaw Skill
Name: tmall
Version: 0.1.0
The skill bundle consists of markdown instructions (SKILL.md) for an AI agent to perform legitimate product analysis and price comparisons on Tmall. It explicitly defines boundaries such as avoiding batch scraping, respecting platform rules, and focusing only on public data, with no evidence of malicious code, data exfiltration, or prompt injection.
能力评估
Purpose & Capability
Name/description (Tmall price/sales/review summaries and comparisons) match the SKILL.md: it describes scraping public product and brand pages and producing summaries/comparisons. There are no unrelated requirements (no env vars, no binaries).
Instruction Scope
SKILL.md stays on‑topic: it specifies which pages to use, what fields to extract, recommends manual opening to avoid anti-bot checks, and explicitly disclaims ordering, interface reverse-engineering, or bulk scraping. It does not instruct reading unrelated files, environment variables, or sending data to unexpected endpoints.
Install Mechanism
No install spec and no code files — the skill is instruction-only, so nothing is written to disk or downloaded. This is the lowest-risk install posture and is proportional to the stated purpose.
Credentials
The skill declares no required environment variables, credentials, or config paths. There are no requests for unrelated secrets or access — this is proportional for a public-page scraping/analysis helper.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request persistent/system-wide privileges or modify other skills. Autonomous invocation is allowed by platform default but the skill itself does not demand elevated presence.
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 tmall - 安装完成后，直接呼叫该 Skill 的名称或使用
/tmall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
v0.1.0
- Initial release of the tmall-hot-trend skill.
- Enables summary and comparison of brand flagship store and product page data on Tmall (price, reviews, sales).
- Supports lightweight, manual-triggered analysis of public pages only; ordering and bypassing security are not provided.
- Use cases include product lists, price/feature summaries, and simple product comparisons.
- Adheres to Tmall platform rules and strictly avoids batch scraping or violating usage policies.
元数据
常见问题
Tmall 是什么？
提供天猫品牌旗舰店和商品详情的价格、销量与评价摘要及同类商品对比，供内部分析和提醒。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 264 次。
如何安装 Tmall？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tmall」即可一键安装，无需额外配置。
Tmall 是免费的吗？
是的，Tmall 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Tmall 支持哪些平台？
Tmall 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 Tmall？
由 codenova58（@codenova58）开发并维护，当前版本 v0.1.0。
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