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AD linkpix-gpt-image-2

GPT Image 2 跨境多平台主图精修。帮助电商运营、商品摄影、品牌商品团队和直播带货团队直接完成“GPT Image 2 跨境多平台主图精修”:既可从文字生成商品图,也可加入参考图精准控制主体、构图和视觉风格。通过青虎AI使用,生成前自动上传参考图,提交后自动保存任务、查询进度并下载图片。适用于淘宝天猫主图、京东白底图、Amazon Listing主图、Shopee SKU图、TikTok Shop商品图、Temu广告素材、独立站Hero Image、广告KV、海报、带货、种草、社媒配图、产品精修、换背景与角色一致性内容。Use this skill for GPT Image 2 跨境多平台主图精修 当用户要求用 GPT Image 2 爆款电商主图、智慧模型(对外常称 GPT Image 2) 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、GPT Image 2、GPT-Image、智慧模型、跨境主图精修、淘宝天猫主图、京东白底图、Amazon Listing、Shopee SKU、TikTok Shop、Temu广告、独立站Hero Image、广告KV、角色一致性。

ClawHub Agent Skills author: AutoAGC v0.1.1 MIT-0 2 files body ≈ 1 558 tokens Open the sourceclawhub.ai analyzed 2 d ago

GPT Image 2 跨境多平台主图精修。帮助电商运营、商品摄影、品牌商品团队和直播带货团队直接完成“GPT Image 2…

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

ProcedureAI and agentstype 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 1558 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 519: 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
    This is a coherent image-generation skill, but it needs review because it asks users to send an API key in chat and installs unpinned global tools.
    LLM: suspicious (high) · 8 Sept 2026