SKILLEMALL.ai

BC inquiry-1688

向1688供应商发起询盘对话,就商品的价格、起订量、定制、物流、资质、规格、样品等问题咨询商家, 自动提交询盘并在20分钟后获取供应商的回复结果,通过钉钉主动推送给用户。 适用于跨境采购、批发拿货、OEM定制等场景下需要与1688商家沟通的需求。 触发词:询盘、1688询盘、问供应商、问商家、咨询供应商、咨询商家、联系供应商、联系商家、 问一下卖家、帮我问问、帮我咨询、帮我询盘、发起询盘、给商家留言、 能不能定制、可以定制吗、支持定制吗、能定做吗、可以OEM吗、能贴牌吗、 起订量多少、起批量多少、最少买多少、最低起订、MOQ多少、最小订单量、 多少钱、什么价格、批发价多少、大量拿货价、能便宜吗、可以优惠吗、价格能谈吗、 能不能发货、可以发到哪里、能发国外吗、支持跨境发货吗、有物流吗、怎么发货、运费多少、 有没有现货、库存多少、多久能发货、交期多久、生产周期、几天能做好、 有没有资质、有认证吗、有质检报告吗、有CE认证吗、能提供检测报告吗、 商品尺寸、商品长宽高、产品规格、有什么材质、什么面料、 能提供样品吗、可以寄样吗、样品多少钱、打样费多少、 供应商能不能XXX、这个商品能不能XXX、想问一下这个产品。

ClawHub Agent Skills author: 1688AiInfra v1.0.2 MIT-0 5 files body ≈ 1 676 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureProcurementLogistics and warehouseInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 51/100

  • 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
  • 30Running it twice. 3 mutating operations with no state check
  • 100Tools and files. No external tools needed
  • 100Steps. 18 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1676 tokens
  • low 10 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)
  • +3Output format is not stated: the model decides each time
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -231 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 510: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (7 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
This skill performs the advertised 1688 inquiry workflow, but it sends procurement details to a fixed DingTalk recipient and runs delayed background follow-up without clear per-user control.
LLM: suspicious (high) · VirusTotal: · 29 May 2026