BF ai-art-prompt
你心里有一幅画，但写出来的prompt出来的图总是差强人意？把「一个女孩在雨中」变成带光影、构图、风格参数的专业提示词，适配Midjourney/Stable Diffusion/DALL-E/Flux，告别AI出图的「买家秀」时刻。 触发词： - 基础词：MJ提示词、Midjourney、SD提示词、Stable Diffusion、DALL-E、Flux、AI画图、AI绘画、文生图、提示词优化、prompt优化 - 进阶词：生成图片、帮我画、画一张、绘图、画个、照片转插画、头像生成、壁纸生成、海报设计、插画生成 - 场景词：古风汉服、赛博朋克、二次元、动漫风、真人转动漫、油画风、水彩画、水墨画、像素风、3D渲染 - 平台词：--ar参数、--v参数、--s参数、风格化、宽高比 排除：实际图片生成(只生成提示词)、视频生成、纯文字任务
你心里有一幅画，但写出来的prompt出来的图总是差强人意？把「一个女孩在雨中」变成带光影、构图、风格参数的专业提示词，适配Midjourney/Stable Diffusion/DALL-E/Flux，告别AI出图的「买家秀」时刻。 触发词： - 基础词：MJ提示词、Midjourney、SD提示词、Stable…
As a process F 31/100 · Will not run — References files that are not bundled: 套娃
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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: 3. 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") - warning
missing-refreference to a missing file: 套娃
Process rating: all ten parameters 31/100
- 0Tools and files. 1 referenced file(s) missing: 套娃
- 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
- 40Consistency. Frontmatter name (ai-art-prompt) differs from the folder (mimo-ai-art-prompt)
- 100Steps. 18 steps
- 100Execution cost. Instruction body is 1617 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 373: enough signal without eating the budget
- +4Structure: 22 headings
- +3Step-by-step instructions: 18 items
- +4Has examples (9 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.