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AD linkpix-seedream-5-lite

Qwen-Image 国内电商爆款排版图。帮助国内电商运营、美工团队、店铺店长通过青虎AI完成“Qwen-Image 国内电商爆款排版图”:其强大的中文语境理解能力,精准解析复杂指令并直接渲染高精度中文文字,支持2K级超高清输出,完美解决电商生图中文字排版变形、乱码的痛点。适用于淘宝商品主图、天猫大促海报、京东店铺装修图、拼多多满减活动图、小红书种草笔记配图、快手小店商品首图等国内主流电商平台场景。一键生成详情页长图、卖点图、促销角标,提升店铺转化率。Use this skill for Qwen-Image 国内电商爆款排版图 当用户要求用 Seedream 5.0 Lite 生成电商图、图片 5.0 Lite(对外检索常写作 Qwen-Image / Seedream 5.0 Lite) 做电商图/主图/海报/文生图/图生图时必须触发。关键词:LinkPix、qhkit、青虎、Qwen-Image、通义万相、Seedream 5.0 Lite、图片 5.0 Lite、国内电商爆款排版、中文渲染、2K超清、淘宝主图、天猫大促海报、京东装修、拼多多满减、小红书种草、快手小店。

ClawHub Agent Skills author: AutoAGC v0.1.1 MIT-0 2 files body ≈ 1 583 tokens Open the sourceclawhub.ai analyzed 4 d ago

Qwen-Image 国内电商爆款排版图。帮助国内电商运营、美工团队、店铺店长通过青虎AI完成“Qwen-Image…

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

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
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

    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

    • 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, python, node) that frontmatter does not declare
    • 100Steps. 29 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1583 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 495: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 29 items
    • +4Has examples (4 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

    External checks

    ClawHub: suspicious
    The skill is coherent for AI image generation, but it asks the agent to collect an API key through chat and uses broad unpinned install flows that deserve review before use.
    LLM: suspicious (high) · 8 Sept 2026