BC fashion-lookbook-generator
一张服装参考图（或一个 Pinterest pin 链接）生成 6 类风格统一的种草/带货图（穿搭图、平铺图、单品细节、场景图、情侣搭配、品牌故事）。基于小红书/Pinterest 爆款内容结构，使用 ImageGen 图生图，遵循真实场景、自然光、胶片颗粒等去 AI 味风格锚点。触发词：种草图、穿搭图、lookbook、带货图、服装出图、平铺图、种草内容、服装营销图、pinterest链接、pin链接、pinterest 图片抓取。
一张服装参考图（或一个 Pinterest pin 链接）生成 6 类风格统一的种草/带货图（穿搭图、平铺图、单品细节、场景图、情侣搭配、品牌故事）。基于小红书/Pinterest 爆款内容结构，使用 ImageGen 图生图，遵循真实场景、自然光、胶片颗粒等去 AI…
As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "display_name" - note
frontmatter-keyunknown frontmatter key "display_name_en" - note
frontmatter-keyunknown frontmatter key "description_zh" - note
frontmatter-keyunknown frontmatter key "description_en"
Process rating: all ten parameters 51/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 100Steps. 26 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1344 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 219: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 26 items
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.