BF article-metaphor-illustrator
为文章规划并生成可读性强的极简强线条手绘配图。先建立文章地图，识别段落适合流程图、架构图、对比图、关系图、结构图还是概念插图，再通过构思卡组织单一命题、原文指纹、信息单位、阅读顺序和固定橙白圆猫角色。构思通过可读性测试后默认直接生成。用户说配图、手绘配图、给文章配图、文章插图、技术文章插图、流程图、架构图、关系图或 illustrate my article 时使用。
为文章规划并生成可读性强的极简强线条手绘配图。先建立文章地图，识别段落适合流程图、架构图、对比图、关系图、结构图还是概念插图，再通过构思卡组织单一命题、原文指纹、信息单位、阅读顺序和固定橙白圆猫角色。构思通过可读性测试后默认直接生成。用户说配图、手绘配图、给文章配图、文章插图、技术文章插图、流程图、架构图、关系图或…
As a process F 35/100 · Will not run — References files that are not bundled: assets/orange-cat-main-visual.svg, assets/orange-cat-main-visual.png
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: 6. 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: assets/orange-cat-main-visual.svg - warning
missing-refreference to a missing file: assets/orange-cat-main-visual.png - note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 35/100
- 0Tools and files. 2 referenced file(s) missing: assets/orange-cat-main-visual.svg, assets/orange-cat-main-visual.png
- 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
- 100Steps. 104 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2154 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 185: enough signal without eating the budget
- +4Structure: 21 headings
- +3Step-by-step instructions: 104 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.