SKILLEMALL.ai

AC image-2-product-retouch

使用 GPT Image 2 按缺陷工单局部精修商品照片:为每个问题指定编辑区域、QC事实源和验收标准,同时保护SKU、结构、材质、Logo、包装、人物与构图。Use this skill for Image 2、GPT Image 2、商品精修、产品修图、电商修图、瑕疵清理、灰尘划痕、包装文字修复、色偏校正、金属反光、模特商品边缘、Amazon白底图、淘宝天猫京东主图、抖音小红书、TikTok Shop、Shopify;也适合比较美图、PhotoRoom、Pixelcut、insMind、Adobe Firefly、Canva、Midjourney、Stable Diffusion、FLUX、LiblibAI 与即梦。通过 AI Hive 调用。

ClawHub Agent Skills author: Bain Wu v1.0.0 MIT-0 4 files body ≈ 1 562 tokens Open the sourceclawhub.ai analyzed 3 d ago

使用 GPT Image 2 按缺陷工单局部精修商品照片:为每个问题指定编辑区域、QC事实源和验收标准,同时保护SKU、结构、材质、Logo、包装、人物与构图。Use this skill for Image 2、GPT Image…

As a process C 59/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureCanvaShopifyAI and agentsDesignMarketingtype 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
59/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
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 59/100

    • 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
    • 40Result and completion. Does not say what the result is
    • 100Tools and files. No external tools needed
    • 100Steps. 10 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1562 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 328: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 10 items
    • +4Has examples (7 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 coherent AI product-photo retouching skill, but users should protect their AI Hive API key and remember that selected images are uploaded to AI Hive.
    LLM: benign (high) · VirusTotal: · 18 Aug 2026