AF taobao-shop-price
全网电商商品检索与比价工具（China E-commerce Price Comparison）。 支持淘宝/天猫、京东、拼多多、抖音、快手、1688 等主流电商平台。 根据商品名称跨平台搜索、智能过滤、生成比价表格、推荐优选商品并获取购买链接。 China e-commerce product search and price comparison tool. Search and compare prices across Taobao, Tmall, JD.com (Jingdong), Pinduoduo (PDD), Douyin Shop, Kuaishou Shop, 1688 (Alibaba wholesale), Suning, Vipshop. Find the cheapest price, best deals, discounts, coupons, and get purchase links. Supports cross-platform product search, smart filtering, recommendation ranking, and price table generation. Use when user asks to: compare prices across platforms, find the lowest price, search products on Taobao/JD/Pinduoduo, find deals or coupons, check where to buy cheap, get purchase links, do shopping research, or find the best value product.
As a process F 35/100 · Will not run — References files that are not bundled: URL
How to improve
- The text references files that are not there: add them or drop the references.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: URL - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "triggers"
Process rating: all ten parameters 35/100
- 0Tools and files. 1 referenced file(s) missing: URL
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 100Steps. 40 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 836 tokens
- 100Running it twice. No mutating operations
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -241 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 769: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 40 items
- +4Has examples (2 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.