AC shortart-image-generator
Generate images using ShortArt AI platform with three modes: (1) Text-to-image and image-to-image generation for general artwork creation, (2) E-commerce suit images for product photography and Amazon listings, (3) Template-based image generation with customizable parameters. REQUIRES: SHORTART_API_KEY environment variable (get from https://shortart.ai/home). Use when users explicitly request: creating images, drawing, generating pictures, making artwork, product images, suit images, template images, or visual content creation using ShortArt. Triggers on: 生成图片, 画一张, 帮我画, 制作图片, 套图, 生成套图, 主图, 商品主图, 模版生图, 用模版生成图片, 推荐模版, generate image, create image, draw, visualize, suit image, product main image, template image generation, image-to-image, 以图生图.
As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches
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: 12. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 57/100
- 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
- 30Running it twice. 3 mutating operations with no state check
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. Tools declared in frontmatter
- 100Steps. 4 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 465 tokens
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
- -31 of 1 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 752: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 4 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (3 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.