AC kids-english-teacher
根據上傳的小朋友英語作業圖片，自動生成一個完整的互動教學網頁（HTML），包含：單字發音、句子跟讀評分（麥克風）、寫作練習、Phonics 和對話練習。Use when: (1) 用戶上傳小朋友英語作業照片, (2) 用戶說「幫小朋友做英語學習頁」, (3) 用戶說「生成教學網頁」, (4) 用戶說「分析這張作業」並希望做成互動頁面。即使用戶只說「幫我做一個學習頁」並附有圖片，也應觸發此技能。NOT for: 純文字英語練習、成人英語學習、非圖片輸入的一般英語問題。
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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
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
- 50When it triggers. No condition that starts the skill
- 100Tools and files. No external tools needed
- 100Steps. 47 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1762 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
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 235: enough signal without eating the budget
- +4Structure: 25 headings
- +3Step-by-step instructions: 47 items
- +4Has examples (10 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.