SKILLEMALL.ai

BD linkpix-ecom-image

一键生成电商商品图:商品主图+轮播图套图、电商详情页长图、按文字描述直出商业大图(四个自定义生图模型,支持参考图)。适用于抖音、淘宝天猫、拼多多、京东、1688、Amazon、TikTok、Shopee、Ozon 等平台。当用户要求生成/制作商品图、主图、轮播图、套图、详情图、场景图、营销图、白底图,或要求把一张产品图变成一组电商图时必须触发。关键词:LinkPix、qhkit、青虎、电商图、商品图、主图、轮播图、套图、详情图、详情页、场景图、营销图、AI生图、AI绘图、文生图、图生图、商品摄影、爆款素材、量产素材。

ClawHub Agent Skills author: AutoAGC v0.1.5 MIT-0 2 files body ≈ 1 187 tokens Open the sourceclawhub.ai analyzed 2 d ago

一键生成电商商品图:商品主图+轮播图套图、电商详情页长图、按文字描述直出商业大图(四个自定义生图模型,支持参考图)。适用于抖音、淘宝天猫、拼多多、京东、1688、Amazon、TikTok、Shopee、Ozon…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureMarketingAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
D
46/100
Unfinished process
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: 2. 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 "homepage"

Process rating: all ten parameters 46/100

  • 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
  • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
  • 100Steps. 20 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1187 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 261: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 20 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: suspicious
This ecommerce image skill is coherent, but it needs review because it directs automatic tool installation/upgrades and external image uploads without a clear user confirmation gate.
LLM: suspicious (high) · 8 Sept 2026