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Tmall
by
codenova58
· GitHub ↗
· v0.1.0
· MIT-0
264
Downloads
0
Stars
2
Active Installs
1
Versions
Install in OpenClaw
/install tmall
Description
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。
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tmall - After installation, invoke the skill by name or use
/tmall - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Tmall?
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。 It is an AI Agent Skill for Claude Code / OpenClaw, with 264 downloads so far.
How do I install Tmall?
Run "/install tmall" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Tmall free?
Yes, Tmall is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Tmall support?
Tmall is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Tmall?
It is built and maintained by codenova58 (@codenova58); the current version is v0.1.0.
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