SKILLEMALL.ai

BC 1688-product-element-fusion

两大核心能力:①元素找品——从灵感图片/视频截图中提取创意元素(色彩、材质、风格、氛围、图案、构图),用元素关键词在1688匹配目标品类的真实商品;②元素融合创款——调研匹配商品的材料、款式、工艺与成本后,生成贴合实际、可落地的产品概念图。触发词:元素融合、元素找品、元素搜品、创款、灵感融合、概念图、把XX风格用到产品上、创意融合、设计灵感转产品、产品概念设计、风格嫁接、灵感创款。

ClawHub Agent Skills author: 1688AiInfra v0.1.0 MIT-0 13 files body ≈ 1 492 tokens Open the sourceclawhub.ai analyzed 4 d ago

两大核心能力:①元素找品——从灵感图片/视频截图中提取创意元素(色彩、材质、风格、氛围、图案、构图),用元素关键词在1688匹配目标品类的真实商品;②元素融合创款——调研匹配商品的材料、款式、工艺与成本后,生成贴合实际、可落地的产品概念图。触发词:元素融合、元素找品、元素搜品、创款、灵感融合、概念图、把XX风格用到产…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
C
53/100
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: 13. 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 "displayName"

Process rating: all ten parameters 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 47 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1492 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
  • -36 of 6 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 192: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 47 items
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (3 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
The creative product-design workflow is plausible, but the package also ships unrelated executable 1688/DingTalk template code that can read shared credentials and silently report CLI usage.
LLM: suspicious (medium) · 26 Aug 2026