CD knowledge-card-generator
Mo卡片风格的知识卡片HTML生成器。当用户需要把知识点、学习内容、课程要点、科普内容制作成"知识卡片"时使用此技能——生成单文件HTML卡片集，复刻Mo卡片（浙大AI学习App）的视觉风格（米色背景+白色圆角卡片+大引号装饰+进度条+游戏化元素），适配手机端和PC端查看，支持翻页、滑动、点击进度条跳转、章节导航、智能缩放与完成庆祝。触发词：知识卡片、学习卡片、Mo卡片、卡片集、知识点卡片、做卡片。
Mo卡片风格的知识卡片HTML生成器。当用户需要把知识点、学习内容、课程要点、科普内容制作成"知识卡片"时使用此技能——生成单文件HTML卡片集，复刻Mo卡片（浙大AI学习App）的视觉风格（米色背景+白色圆角卡片+大引号装饰+进度条+游戏化元素），适配手机端和PC端查看，支持翻页、滑动、点击进度条跳转、章节导航、智…
As a process D 46/100 · Unfinished process — 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: 5. 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 "slug" - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 46/100
- 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
- 20When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (node) that frontmatter does not declare
- 100Steps. 60 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1375 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 201: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 60 items
- +4Has examples (5 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.