SKILLEMALL.ai

AD linkpix-ozon-image

帮助Ozon卖家、俄罗斯跨境电商运营通过青虎AI完成“Ozon商品图”:支持生成Ozon平台规定的白底图、俄文翻译卖点图、工业/户外风场景图、多商品组合图。可调用Nano Banana 2 、Seedream 5.0等大模型,适配俄罗斯消费者的审美偏好(注重沉稳、实用性),提升俄罗斯本土市场的转化率。适用于Ozon、Ozon Global等平台的商品视觉需求。Use this skill for Ozon商品图, 俄文卖点图, 白底图, 实用场景图, 俄罗斯市场, Nano Banana 2 , Seedream 5.0, AIGC图像生成, 跨境电商。通过青虎AI统一接入,支持素材上传、实时模型配置、任务轮询和结果下载。 当用户要求做Ozon 商品图、主图套图、详情图、活动图生成或该平台的主图/套图/详情图/活动图时必须触发。关键词:LinkPix、qhkit、青虎、Ozon商品图、俄文卖点、白底图、实用场景、Ozon Global、俄罗斯跨境。

ClawHub Agent Skills author: AutoAGC v0.1.1 MIT-0 2 files body ≈ 1 530 tokens Open the sourceclawhub.ai analyzed 2 d ago

帮助Ozon卖家、俄罗斯跨境电商运营通过青虎AI完成“Ozon商品图”:支持生成Ozon平台规定的白底图、俄文翻译卖点图、工业/户外风场景图、多商品组合图。可调用Nano Banana 2 、Seedream…

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

ProcedureInfrastructuretype 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. 25 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1530 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 430: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 25 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 does what it claims for Ozon image generation, but it tells users to paste an API key into chat and uses mutable runtime installs that deserve review before use.
    LLM: suspicious (high) · 8 Sept 2026