BC xiaozhi-english-vocabulary-dna
英语词汇复习：按间隔重复排到期日，每天把到期的词合并成一张词卡。触发语："帮我记单词"、"把这个词存进词汇库"、"我单词背了就忘"、"下周要学新课了"、"启动词汇预热"、"帮我复习词汇"、"我的词汇库里有什么"。核心功能：三种入库方式 + SM-2 间隔重复排到期日 + 每日一张到期词卡（提醒由 IM 提醒统一发送）+ 课前预热雷达 + 个人遗忘速度调整。不处理：句子语法错误的追问（转英语语法突破教练）、整段作文批改（转英语写作进化教练）、发音是否标准（转英语口语陪练）。
英语词汇复习：按间隔重复排到期日，每天把到期的词合并成一张词卡。触发语："帮我记单词"、"把这个词存进词汇库"、"我单词背了就忘"、"下周要学新课了"、"启动词汇预热"、"帮我复习词汇"、"我的词汇库里有什么"。核心功能：三种入库方式 + SM-2 间隔重复排到期日 + 每日一张到期词卡（提醒由 IM…
As a process C 53/100 · Has gaps — 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.
- For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
- 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: 12. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 238 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period) - warning
description-no-whenneither description nor a "## When to Use" section says when to use the skill - note
frontmatter-keyunknown frontmatter key "display_name" - note
frontmatter-keyunknown frontmatter key "grade_bands" - note
frontmatter-keyunknown frontmatter key "depends_on" - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "summary"
Process rating: all ten parameters 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 10 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2103 tokens
- 100Running it twice. No mutating operations
- low 10 top-level sections: this looks like several domains in one skill
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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +5Description quotes 6 example trigger phrases
- +3Description length 238: enough signal without eating the budget
- +4Structure: 22 headings
- +3Step-by-step instructions: 10 items
- +4Has examples (22 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.