What makes Taobao Price Compare notable?

2.3K downloads. Trust evidence available

How should Taobao Price Compare be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Taobao Price Compare

Taobao price and competitor comparison assistant. Input a Taobao title/link or product need; compare JD, PDD, and Vipshop using browser-visible evidence, nor...

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

2.3k

Updated

Oct 9, 2026

Version

2.1.1

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2.3K downloads reported by the source. Last updated 10/9/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 2.3K downloadsadoption · observed Oct 9, 2026
Latest release: 2.1.1release · observed Jun 23, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17a8m9q4jybb46cv60h4fxard83hmsn:taobao-competitor-analyzer

Install using `clawhub skill install s17a8m9q4jybb46cv60h4fxard83hmsn:taobao-competitor-analyzer` in an isolated environment before connecting it to live workloads.
No published capability contract is available yet, so validate auth and request/response behavior manually.
Review the upstream CLAWHUB listing at https://clawhub.ai/harrylabsj/taobao-competitor-analyzer before using production credentials.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-harrylabsj-taobao-competitor-analyzer/snapshot"

Documentation

CLAWHUB

143,553 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: taobao-competitor-analyzer
description: "Taobao price and competitor comparison assistant. Input a Taobao title/link or product need; compare JD, PDD, and Vipshop using browser-visible evidence, normalize prices, score same-item confidence, and output where to buy. Safe boundary: no login, no order submission, no payment."
---
# Taobao Competitor Analyzer

Compare a Taobao product with the same or closest-matching listings on 京东、拼多多、唯品会 using the browser tool only. Work from a product name, Taobao title, link, screenshot, or user-provided baseline details. Return a compact purchase decision with visible price evidence, normalized comparability, match score, category-aware platform fit, recommendation strength, and risk notes.

What makes this skill useful:
- It compares comparable items instead of chasing misleading low prices.
- It separates Taobao baseline price from competitor prices.
- It normalizes price by spec, quantity, shipping, and promo conditions before ranking.
- It scores same-item confidence before making a buying recommendation.
- It applies category-specific risk thresholds instead of treating shoes, phones, skincare, and paper towels the same way.
- It explains whether a lower price depends on coupons, membership, subsidy, or group-buy.
- It ends with a clear buy / wait / avoid recommendation instead of just a table.

## When To Use

Use this skill when the user is effectively asking:
- 这件淘宝商品别的平台多少钱
- 有没有同款或更划算的平台
- 京东 / 拼多多 / 唯品会 哪个更值得买
- 这几个平台价格差这么多正常吗
- 帮我做一个同款比价和购买建议
- 这个淘宝商品换平台买值不值
- 同样价差下哪个平台风险更低

The skill should optimize for purchase decisions, not raw data collection.

## Commerce Matrix

This skill is the cross-platform comparison node in the shopping matrix.

Prefer nearby skills when the task is narrower:
- `taobao-shopping` for Taobao-only listing and seller evaluation
- `jd-shopping` for trust-first self-operated buying
- `pdd-shopping` for low-price and subsidy-first buying
- `tianmao` for flagship-store and authenticity-first buying
- `vip` for branded discount and flash-sale buying
- `alibaba-shopping` when the user first needs to choose between Taobao, Tmall, and 1688

## Taobao Baseline Bridge

Use `taobao-shopping` first, or apply its same discipline yourself, when the Taobao side is not yet clear.

Before cross-platform comparison, establish the Taobao baseline:

- exact product identity
- selected SKU attributes
- visible or user-provided Taobao price
- store type and seller trust cue
- coupon / membership / threshold condition
- return, warranty, invoice, authenticity, or delivery caveat when relevant

If the user only provides a Taobao title with no price or listing evidence, this skill can compare competitor visible offers, but it must not claim the user should switch away from Taobao. Write `淘宝基准价未提供`.

If the user's real question is only "is this Taobao listing trustworthy?", stay in or route to `taobao-shopping` instead of broadening into JD/PDD/Vipshop.

## Workflow

1. Normalize the Taoba

README.md

# Taobao Competitor Analyzer

Cross-platform shopping decision skill for Taobao users.

This skill checks the same or closest-matching product on:
- JD.com
- Pinduoduo
- Vipshop

Then it answers the question users actually care about:

`Should I keep buying this on Taobao, switch platforms, wait, or avoid this deal?`

## What It Does

- Compares visible prices across major Chinese marketplaces
- Uses Taobao as the baseline when a Taobao price, link, screenshot, or visible listing is available
- Matches brand, model, spec, count, and packaging before comparing price
- Scores same-item confidence so near matches do not masquerade as cheaper exact matches
- Normalizes headline price, coupon-after price, member price, subsidy price, group-buy price, shipping, and unit price
- Applies category playbooks so phones, skincare, baby goods, shoes, snacks, and paper towels are judged differently
- Flags near-match risk instead of pretending similar items are identical
- Weighs seller trust, shipping, warranty, invoice, and after-sales guarantees
- Returns a recommendation strength: strong, weak, reference-only, or cannot judge

## v1.1.0 Highlights

- Taobao baseline handling: no baseline price means no unsupported "switch away from Taobao" claim
- 100-point match scoring across brand, model, specs, quantity, channel trust, and evidence completeness
- Price normalization for unit price, coupon dependency, membership, subsidy, group-buy, and shipping caveats
- Evidence quality gate for title, price, spec/version, and URL before a listing can drive a strong recommendation
- Expanded verdict block with recommendation strength, lowest comparable price, risks, and final checks before purchase

## v1.2.0 Highlights

- Category-aware playbooks for electronics/appliances, beauty/personal care, food/daily goods, apparel/shoes/bags, baby/health/safety, and low-risk standard goods
- Buying-posture routing for lowest price, authenticity/after-sales, delivery speed, exact variant, and research-first workflows
- Platform-fit judgment so JD, PDD, and Vipshop are weighed differently by category instead of by headline price alone
- Category-specific price-delta thresholds: low-risk commodities can switch on unit-price wins, while warranty/authenticity categories need stronger evidence
- New `品类策略` and `购买偏好` fields in the verdict block

## Best Use Cases

- Compare a Taobao listing with JD / PDD / Vipshop
- Check whether a "cheaper" result is actually the same SKU
- Decide if it is worth switching platforms
- Do fast competitor research for consumer products
- Find the lowest visible comparable price with caveats
- Separate normal price from coupon, member, subsidy, and group-buy conditions
- Decide whether a low price is worth the category-specific risk

## Example Prompts

- `帮我查这个淘宝商品在京东、拼多多、唯品会有没有同款`
- `淘宝价 129，这个商品换到京东买值不值`
- `这款护肤品拼多多便宜很多，风险大不大`
- `这双鞋唯品会有近似款，能不能买`
- `别只比价，告诉我哪个平台更值得买`
- `Compare this Taobao product with JD, PDD, and Vipshop and recommend where to buy

_meta.json

{
  "ownerId": "kn77zzg9p845zanvy6vrf76k7d81mcnm",
  "slug": "taobao-competitor-analyzer",
  "version": "2.1.1",
  "publishedAt": 1782214405857
}

references/category-playbooks.md

# Category Playbooks

## Goal

Use these playbooks after normalizing the Taobao baseline and before making the final recommendation. The goal is to avoid one-size-fits-all price sorting. A lower price means different things for phones, skincare, baby goods, shoes, snacks, and paper towels.

## How To Use

1. Classify the product into the closest category.
2. Infer the user's buying posture: low price, trust/after-sales, delivery speed, exact variant, or research.
3. Apply the category's must-check attributes and risk gates.
4. Decide whether the price gap is large enough to overcome category risk.
5. State the playbook in the verdict as `品类策略`.

If the category is unclear, write the assumption and keep recommendation strength at `弱推荐` or lower.

## Buying Postures

### Low Price First

- Use normalized unit price after matching gates pass.
- Prefer unconditional visible prices over conditional coupon/member/group-buy prices.
- Strong recommendations still need high match and enough seller/channel evidence.

### Trust And After-Sales First

- Prefer official, self-operated, flagship, or authorized channels.
- Treat invoice, warranty, returns, and authenticity evidence as decision drivers.
- A cheaper weak-channel listing usually becomes `弱推荐` or `仅供参考`.

### Speed First

- Prefer visible delivery promise, local stock, self-operated logistics, and stable fulfillment.
- Downgrade group-buy, pre-sale, limited stock, and unclear shipping.
- If delivery is address-dependent and not visible, include it in `下单前核对`.

### Exact Variant First

- Prioritize exact model, color, size, flavor, version, pack count, batch, and bundle contents.
- Do not treat near matches as cheaper exact matches.
- For apparel, shoes, beauty, and electronics, variant mismatch usually blocks `强推荐`.

### Research First

- Include exact matches, near matches, and substitutes in separate groups.
- Do not rank substitutes against exact matches as if they are identical.
- Use this mode for marketplace research, category scans, and competitor mapping.

## Electronics And Appliances

Examples: phones, headphones, laptops, cameras, routers, appliances, smart devices.

Must check:
- exact model, generation, storage/capacity, color, region/version, bundle, and warranty
- new vs refurbished/open-box/parallel import
- official/self-operated/authorized channel
- invoice, warranty, installation, return policy, trade-in, and delivery timing

Platform fit:
- JD is often stronger when self-operated, official, invoice, warranty, fast delivery, or installation matters.
- PDD can be considered when subsidy/official evidence is visible and the SKU is exact.
- Vipshop is usually weaker for exact electronics coverage unless the listing is clearly official and exact.

Recommendation gate:
- Do not recommend a weaker channel for small savings.
- Require high match and clear warranty/channel evidence for `强推荐`.
- If savings are modest and JD/Taobao official support is stronger, recommend staying with the s

references/site-notes.md

# Site Notes

## Goal

Use browser-visible marketplace pages to collect price evidence for the same or closest-matching product on JD, Pinduoduo, and Vipshop, then turn that evidence into a purchase decision against the Taobao baseline when available.

## Common Reminders

- Prefer visible desktop web pages.
- Use exact product names first, then a lightly simplified query if results are sparse.
- Compare like-for-like products only.
- Keep the evidence chain simple: search page -> listing -> visible title/price/spec.
- Do not use APIs, hidden JSON endpoints, or scraping shortcuts outside the browser tool.
- Price is not enough; capture trust, conditions, and caveats.
- The final answer should help the user choose, not just browse.
- Read `category-playbooks.md` when the product category changes how much price should matter.

## Baseline Discipline

- Treat Taobao as the baseline only when a Taobao price, URL, screenshot, or user-provided listing detail exists.
- If the user provides only a Taobao title, search against that identity but write `淘宝基准价未提供`.
- Do not claim the user should switch away from Taobao unless Taobao's visible or user-provided price is known.
- When the user provides the Taobao price, label it as user-provided unless verified in browser.

## Matching Score Reminders

Use the 100-point score from `SKILL.md`:
- brand: 25
- model / line / generation: 25
- variant and must-match specs: 20
- size / weight / count / packaging: 15
- seller or channel trust: 10
- evidence completeness: 5

Interpretation:
- 85-100: high, can drive recommendation
- 65-84: medium, caveated recommendation only
- below 65: low, reference/near-match only

Downgrade to low when the result has a critical mismatch such as different generation, capacity, count, refurbished status, unclear warranty, trial size, or unverified authenticity in a risk-sensitive category.

## Price Normalization Reminders

Before ranking, separate:
- headline/list price
- visible final or coupon-after price
- coupon/member/subsidy/group-buy/payment/region conditions
- unit basis such as per pack, per sheet, per 100g, per ml, per pair, or per item
- shipping, free-shipping threshold, installation, warranty, invoice, or delivery constraints

Use conservative comparison:
- Prefer unconditional visible price when promo eligibility is unclear.
- Treat member-only, group-buy, payment, and regional subsidy prices as conditional.
- For multi-pack daily goods, compare unit price and total quantity.
- For electronics, beauty, apparel, infant goods, medical/safety goods, and branded products, keep authenticity, warranty, and channel trust ahead of headline price.

## Category Shortcut

Use `references/category-playbooks.md` to decide which risk dominates:
- warranty and invoice for electronics/appliances
- authenticity, batch, and expiry for beauty/personal care
- unit price, pack count, and freshness for food/daily goods
- size, color, style code, and return policy for apparel/shoes/bags
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