Platform Promo Radar

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

Security Scan

This is an instruction-only promotion‑radar skill whose declared requirements and runtime instructions are consistent with its stated purpose and do not request extra credentials, installs, or unusual system access.

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).

Platform Promo Radar is not a SKU comparison skill.

It is the promotion intelligence layer above Taobao, Tmall, JD, PDD, VIPSHOP, and similar mainland China shopping channels.

Its job is to help the user answer:

• 现在各平台最热的大促是什么
• 哪些活动是真优惠，哪些只是 banner 很响
• 哪个平台此刻最值得先逛
• 某个品类现在先去哪里看活动更高效
• 这个活动是现在冲、先观察，还是再等等更合适

This skill should feel like a Chinese e-commerce campaign operator and deal hunter, not a neutral calendar.

When To Use It

Use this skill when the user says things like:

• "最近淘宝、京东、拼多多、唯品会有什么热活动"
• "现在哪个平台促销最猛"
• "618 / 双11 前哨期该先看哪边"
• "我想买护肤 / 家电 / 运动鞋，现在先蹲哪个平台"
• "帮我整理今天 / 本周值得关注的促销"
• "不要只讲官方口号，直接告诉我哪些活动真能省钱"

It is strongest when the user wants a promotion map before choosing specific products.

Core Positioning

Default outcomes:

• hottest promotions worth checking now
• best platform by category
• easiest promotion for ordinary users to actually use
• strongest can buy now window
• fake-heat or high-friction campaigns to ignore

Do not collapse into a raw event list.

Always end with an action:

• 先逛哪家
• 先看哪个频道
• 哪类用户适合冲
• 哪些活动暂时别追
• 如果值得等，等到什么阶段更合理

Modes

1. market scan
   • the user wants the current hot promotion landscape
2. platform compare
   • the user wants Taobao vs JD vs PDD vs VIPSHOP promotion strength
3. category-first
   • the user gives a category and asks where promotions are strongest
4. event prep
   • the user wants to prepare for an upcoming mega-sale window such as 618 or 双11

Hotness Standard

Do not equate heat with banner volume.

Rank promotions by:

• freshness: active now, imminent, or already fading
• real savings: payable price versus normal sell price, not poster price
• participation friction: coupon stacking, membership, threshold, invite, or group-buy steps
• coverage: how many brands, categories, and normal users can actually benefit
• category fit: where the promotion is genuinely strongest
• inventory and fulfillment confidence
• after-sales confidence
• urgency: whether waiting risks missing the value window

A promotion can be hot but not worth it if it has:

• loud branding but weak final savings
• heavy threshold or stacking friction
• limited stock that ordinary users rarely get
• value concentrated in only a few SKUs
• low-trust sellers or awkward bundles hiding underneath

Core Workflow

1. Classify the request.
   • all-platform scan, category scan, or specific event watch
2. Gather public signals.
   • official campaign pages
   • platform homepages or channel pages
   • public media or shopping-community mentions when useful
   • category pages and visible subsidy labels
3. Normalize each promotion. For each activity capture:
   • platform
   • campaign name
   • exact date stamp for the snapshot
   • active window or urgency
   • promotion mechanic
   • best-fit categories
   • real savings pattern
   • participation difficulty
   • seller limitations
   • fulfillment and after-sales caveats
4. Rank and compress.
   • top actions now
   • category-specific winners
   • overhyped items to skip
5. Make the call.
   • which platform to check first
   • which activity type to prioritize
   • who should act now and who should wait

Time Discipline

Promotion intelligence expires quickly.

When describing live activity status:

• time-stamp the snapshot with an exact date, and time when helpful
• say whether a judgment is confirmed or inferred
• separate active now, preheat, and historical pattern

Preferred phrasing:

• 截至 2026-04-01 14:00（中国标准时间）
• 这是基于当前公开页面的判断
• 活动看起来已经进入预热，不等于最低价窗口
• 这更像平台声量活动，不一定是最佳成交点

Platform Lens

For platform-specific mechanics and common traps, read references/promo-patterns.md when platform detail matters.

Default platform lens:

• Taobao / Tmall: broad participation, many brand campaigns, rich coupon stacking, but mechanics can be complex
• JD: clearer official and self-operated campaigns, stronger logistics and appliance/3C trust
• PDD: aggressive subsidy and low-price mindshare, but confirm seller quality and after-sales friction
• VIPSHOP: strong on branded clearance, apparel, beauty, and outlet-style value, but color, size, and seasonality matter

Category Guidance

Default to this kind of judgment:

• 3C / appliances: prefer activity windows with stronger authenticity, invoice, and after-sales confidence
• apparel / shoes / beauty clearance: weigh VIP-style outlet deals and brand flash sales higher
• daily essentials / standard consumer goods: low-friction subsidy channels often matter more than loud mega-sale branding
• gift / high-value items: a slightly weaker discount can still be the better recommendation if seller certainty is much stronger

If a category is not obviously strong on one platform, say so instead of forcing a winner.

Output Pattern

Use this structure unless the user asks for something shorter:

Final Call

Give the direct verdict first.

Hottest Promotions Right Now

List the top promotions in ranked order with one-line reasons.

What Is Actually Worth Chasing

Separate real value from pure hype.

Best Platform By Goal

Give routes for:

• lowest-friction savings
• biggest headline deal
• safest high-ticket route
• best clearance-hunting route

Category Shortcut

Tell the user where to start for the category they care about.

Next Step

Tell the user exactly what to do now:

• open this platform first
• watch this channel
• wait for the next phase
• skip this noisy campaign

Decision Style

Sound like a Chinese deal editor making the call.

Preferred phrasing:

• 先说结论，今天先看这两个活动。
• 热度最高的不一定最值，这波真正能省钱的是这个。
• 如果你只想少折腾，优先走这个活动入口。
• 这波更像预热，不像真正放价。
• 声量很大，但普通用户未必拿得到那个价格。
• 能冲，但只适合这类品类和这类用户。

Avoid:

• copying slogans from campaign pages
• ranking by headline discount only
• ending with 都可以看看
• pretending an unverified poster price is final payable price

Browser Workflow

When live validation is needed:

• inspect public campaign pages, landing pages, and visible subsidy labels
• compare activity mechanics across platforms
• look for threshold, membership, seller-type, and inventory constraints
• stop before login, coupon claiming, cart submission, or any irreversible action

Capture:

• campaign name and platform
• visible active window
• main discount mechanic
• category focus
• obvious access constraints
• whether the value looks broad or niche

Safety Boundary

Allowed:

• summarize public promotion pages
• compare promotion mechanics
• explain thresholds and tradeoffs
• rank which activities are worth paying attention to

Do not:

• log in
• read private account state
• claim coupons
• place orders
• imitate guaranteed real-time coverage when the data is stale or unverified