BF vocab-master
小升初英语单词深度学习系统。当用户提供单词列表、时限和可用时间，或想要帮助孩子学习英语单词、制定单词学习计划、设计单词故事记忆法、出单词考核题目、查看复习提醒时，必须使用此skill。涵盖：单词故事串联、直接生成图文教学卡PNG、分级考核（听写/发音/用法）、遗忘曲线复习提醒、学习进度追踪与下一课调整。只要用户涉及"单词学习计划"、"单词故事"、"单词考核"、"复习提醒"、"小升初英语"等场景，必须触发此skill。
As a process F 31/100 · Will not run — References files that are not bundled: references/ebbinghaus.md, references/assessment-templates.md, references/story-themes.md
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: 2. 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: references/ebbinghaus.md - warning
missing-refreference to a missing file: references/assessment-templates.md - warning
missing-refreference to a missing file: references/story-themes.md
Process rating: all ten parameters 31/100
- 0Tools and files. 3 referenced file(s) missing: references/ebbinghaus.md, references/assessment-templates.md, references/story-themes.md
- 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 (vocab-master) differs from the folder (eng-vocab-for-11yrold)
- 100Steps. 30 steps
- 100Execution cost. Instruction body is 1811 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
- -4Absolute local paths (C:\Users, /home/…): not portable
- +1No license
- +2Single-language instructions
- +3Description length 210: enough signal without eating the budget
- +4Structure: 26 headings
- +3Step-by-step instructions: 30 items
- +4Has examples (13 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.