SKILLEMALL.ai

BC tenyuan-cloud-shop

十元云铺万元利——一句话或一张产品图,自动生成可分享的小批发部迷你网站(云铺档口页),含产品图、口播音频、分享文案、电话/微信联系方式。当用户说「开个云铺」「我有货想卖」「帮我做个卖货页面」「生成档口页」「云南沃柑 5 斤 29.9」这类想快速获得卖货展示页的请求时使用。纯展示导流,成交线下对接,平台不参与交易。 | TenYuan Cloud Shop: turn one sentence or one product photo into a shareable mini shop page with AI voiceover, hosted at ruancyai.com/cloud.

ClawHub Agent Skills author: Johnnyruan v0.3.2 MIT-0 10 files body ≈ 1 548 tokens Open the sourceclawhub.ai analyzed 3 d ago

十元云铺万元利——一句话或一张产品图,自动生成可分享的小批发部迷你网站(云铺档口页),含产品图、口播音频、分享文案、电话/微信联系方式。当用户说「开个云铺」「我有货想卖」「帮我做个卖货页面」「生成档口页」「云南沃柑 5 斤 29.9」这类想快速获得卖货展示页的请求时使用。纯展示导流,成交线下对接,平台不参与交易。…

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

ProcedureSoftware developmentAI and agentsCommercetype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
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: 10. 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")
  • note frontmatter-key unknown frontmatter key "pricing"

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. 8 mutating operations with no state check
  • 100Tools and files. No external tools needed
  • 100Steps. 37 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1548 tokens

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
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 299: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 37 items
  • +4Has examples (8 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
This skill coherently creates paid, shareable mini shop pages, but users should understand their images and contact details are sent to a hosted public service.
LLM: benign (high) · VirusTotal: · 17 Aug 2026