SKILLEMALL.ai

AF taobao-query

Query Taobao product prices and information through MCP (Model Context Protocol). Use when the user asks about product prices, searches for items on Taobao, compares prices, or wants to find the best deals on specific products. Triggers on phrases like "淘宝价格", "多少钱", "查一下价格", "销量", "店铺" or any product-related price inquiries. Can also perform other Taobao operations like viewing cart, checking orders, chatting with customer service, etc. - but NEVER payment or financial operations.

ClawHub Agent Skills author: EvenSix66 v1.0.0 MIT-0 2 files body ≈ 2 345 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 65/100 · Will not run — References files that are not bundled: URL

ReferenceAI and agentsInfrastructureCustomer supporttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
F
65/100
Will not run
References files that are not bundled: URL
Tools and files w 18
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • 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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: URL

Process rating: all ten parameters 65/100

Will not run. References files that are not bundled: URL
  • 0Tools and files. 1 referenced file(s) missing: URL
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 8 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 103 steps
  • 100Failures and branches. 3 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2345 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 top-level sections: this looks like several domains in one skill

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)
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 486: enough signal without eating the budget
  • +4Structure: 27 headings
  • +3Step-by-step instructions: 103 items
  • +3Output format is stated explicitly
  • +4Has examples (8 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: suspicious
This Taobao helper is not clearly malicious, but it gives an agent broad access to a logged-in shopping session, including cart, orders, browsing history, arbitrary page navigation, and seller chat, without enough confirmation boundaries.
LLM: suspicious (high) · VirusTotal: · 29 May 2026