SKILLEMALL.ai

AC nano-banana-2-product-retouch

使用 Nano Banana 2 对商品目录照片进行一致化精修,在不改变 SKU 事实的前提下统一曝光、白平衡、边缘、阴影、材质与画布占比。Use this skill for Nano Banana 2 product retouch、商品精修、批量电商修图、产品目录、白底图统一、服装珠宝家电家具包装后期、淘宝京东抖音小红书亚马逊 Shopify SKU 素材;通过 AI Hive 编辑指定商品图片。

ClawHub Agent Skills author: Bain Wu v1.0.0 MIT-0 4 files body ≈ 512 tokens Open the sourceclawhub.ai analyzed 3 d ago

使用 Nano Banana 2 对商品目录照片进行一致化精修,在不改变 SKU 事实的前提下统一曝光、白平衡、边缘、阴影、材质与画布占比。Use this skill for Nano Banana 2 product…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureShopifyCommercetype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
C
53/100
Has gaps
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: 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 53/100

    • 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
    • 100Tools and files. No external tools needed
    • 100Steps. 5 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 512 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 203: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 5 items
    • +4Has examples (6 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    This is a disclosed product-photo retouch skill that uses AI Hive for user-selected images and does not show hidden or unrelated behavior.
    LLM: benign (high) · VirusTotal: · 17 Aug 2026