AD virtual-try-on-product-image-generation
用 AI Hive Nano Banana Pro 将已授权成年模特图与已授权服装 SKU 图组合成可审核的虚拟试穿商品图，锁定人物身份与身体比例、服装版型与纹理、层叠遮挡和电商构图。Use when fashion sellers and brand teams need authorized adult AI try-on, virtual fitting, apparel-on-model images, outfit visualization, clothing product photos or listing assets for Amazon, Taobao, Tmall, JD, Douyin, Xiaohongshu, TikTok Shop and Shopify; outputs are visual previews, not real sizing or fit guarantees.
用 AI Hive Nano Banana Pro 将已授权成年模特图与已授权服装 SKU 图组合成可审核的虚拟试穿商品图，锁定人物身份与身体比例、服装版型与纹理、层叠遮挡和电商构图。Use when fashion sellers and brand teams need authorized adult AI…
As a process D 38/100 · Unfinished process — weak spots: steps, result and completion, when it triggers
How to improve
- 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 1259 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 412: 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.