SKILLEMALL.ai

AD nano-banana-ecommerce-main-image

用 AI Hive Nano Banana 2 把真实 SKU 参考图制作成可审核的电商主图,明确商品事实、必须保持项、允许变化、平台用途和安全留白,支持 Amazon、淘宝、天猫、京东、拼多多、抖音电商、小红书、TikTok Shop 与 Shopify。Use when ecommerce sellers and creative teams need Nano Banana ecommerce main images, Amazon listing hero images, marketplace product photos, white-background images, scene images, product cards, SKU visuals or localized storefront assets while keeping product facts and reference-image identity under control.

ClawHub Agent Skills author: Bain Wu v1.0.0 MIT-0 4 files body ≈ 848 tokens Open the sourceclawhub.ai analyzed 3 d ago

用 AI Hive Nano Banana 2 把真实 SKU 参考图制作成可审核的电商主图,明确商品事实、必须保持项、允许变化、平台用途和安全留白,支持 Amazon、淘宝、天猫、京东、拼多多、抖音电商、小红书、TikTok Shop 与 Shopify。Use when ecommerce sellers…

As a process D 38/100 · Unfinished process — weak spots: steps, result and completion, when it triggers

ReferenceShopifyCommercetype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
D
38/100
Unfinished process
Steps w 15
0
Result and completion w 14
0
Inputs and preconditions w 11
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: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 38/100

    • 0Steps. Prose only: no discrete steps
    • 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
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 848 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)
    • +3No numbered steps or checklist
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 439: enough signal without eating the budget
    • +4Structure: 9 headings
    • +4Has examples (6 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: clean
    This skill is a disclosed AI image-generation helper that uploads only user-selected product images to AI Hive and stores credentials only when the user explicitly asks it to.
    LLM: benign (high) · VirusTotal: · 17 Aug 2026