Platform Promo Radar

v1.0.1

Cross-platform promotion radar for mainland China shopping platforms that tracks the hottest current campaigns across Taobao, Tmall, JD, PDD, VIPSHOP, and si...

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byhaidong@harrylabsj
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
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Benign
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OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
Name/description (promotion radar for Chinese e‑commerce) align with the SKILL.md: it instructs the agent to scan public campaign pages, normalize promotions, rank them, and produce actionable guidance. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
Runtime instructions focus on gathering public signals (official campaign pages, platform homepages, public media, category pages), normalizing and ranking promotions, and using the included reference doc. There are no steps that ask the agent to read local files or environment variables outside the skill, nor to transmit data to unknown external endpoints.
Install Mechanism
No install spec and no code files to write or execute. Instruction-only skills are lower risk because nothing is downloaded or installed by the skill itself.
Credentials
The skill declares no required environment variables, credentials, or config paths. The requested access (public web pages and the packaged reference file) is proportionate to the advertised functionality.
Persistence & Privilege
always is false and the skill does not request persistent system privileges or to modify other skills. Model invocation is allowed (the platform default) but that is normal for instruction-driven skills and not combined with broad credential access here.
Assessment
This skill is internally coherent and low-risk as presented: it asks the agent to inspect public campaign pages and use the bundled reference file. Before installing, confirm the agent/environment actually has the ability to fetch web pages (browsing or web-fetch tool) if you expect live snapshots. If you care about privacy or compliance, verify that the agent will not post scraped pages or user data to any external endpoint (the SKILL.md does not specify any external sinks). Also note the package has no homepage and an anonymous owner ID—if you need provenance, ask for the source repository or author contact and test the skill with non-sensitive queries first (do not provide personal payment/credential data).

Like a lobster shell, security has layers — review code before you run it.

china-ecommercevk97f10jz4a80ppsfx62bzcxxjs841gkddealsvk97f10jz4a80ppsfx62bzcxxjs841gkddiscountsvk97f10jz4a80ppsfx62bzcxxjs841gkdjdvk97f10jz4a80ppsfx62bzcxxjs841gkdlatestvk97f10jz4a80ppsfx62bzcxxjs841gkdpddvk97f10jz4a80ppsfx62bzcxxjs841gkdpromotionvk97f10jz4a80ppsfx62bzcxxjs841gkdpromotion-radarvk97f10jz4a80ppsfx62bzcxxjs841gkdtaobaovk97f10jz4a80ppsfx62bzcxxjs841gkdtmallvk97f10jz4a80ppsfx62bzcxxjs841gkdvipshopvk97f10jz4a80ppsfx62bzcxxjs841gkd

License

MIT-0
Free to use, modify, and redistribute. No attribution required.

Runtime requirements

🔥 Clawdis
OSLinux · macOS · Windows

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