BC xiaozhi-chinese-material-library
语文写作素材的存取工具：存的时候打好标签，用的时候按主题检索得到。当学生说"存入素材库"、"这句话先存着"、"帮我找关于[主题]的素材"、"素材库里有什么"、"查一下我积累了什么关于[主题]的"、"帮我看看这个月存了多少素材"时，建议激活此SKILL。功能：存储与打标签 / 按主题检索 / 精读与文言学习中的顺手采集 / 使用记录与月度小结。素材本身只存在本 SKILL 的记忆里；只有“用过几次”的计数经交接写进学习DNA 的 subjectExtensions.chinese.materialUsage（需开档案与共享）。写作流程本身不在此——学生说"我要写作文"时由 xiaozhi-chinese-writing-coach 主导，它在 Step 1 调用本 SKILL 检索素材；本 SKILL 只在"存素材/找素材"这两类请求时自己触发，不打断写作流程。
语文写作素材的存取工具：存的时候打好标签，用的时候按主题检索得到。当学生说"存入素材库"、"这句话先存着"、"帮我找关于[主题]的素材"、"素材库里有什么"、"查一下我积累了什么关于[主题]的"、"帮我看看这个月存了多少素材"时，建议激活此SKILL。功能：存储与打标签 / 按主题检索 /…
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: 11. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 385 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. 14 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1467 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
- +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 385: enough signal without eating the budget
- +4Structure: 21 headings
- +3Step-by-step instructions: 14 items
- +4Has examples (20 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.