CC xiaozhi-teach-homework-tracker
帮独立教师跟进课上练习与学员带来的学校作业、考试错题：登记、追状态、归错因、导出下节课讲什么。适用于老师说"登记今天课上的练习""[化名] 课上那份练习做完了吗""[化名] 带来了学校作业，帮我归一下错因""考试错题帮我归类""错题回流""下节课该讲什么""这道题他错第三次了""看下 [化名] 的作业画像"。流程：老师口述课上练习或学校作业 → 追七档状态 → 按 shared/vocab.md §1/§3 归错因 → 阈值命中先存证据待老师确认。校外培训不给学员留作业：老师要登记回家做的作业时，说一句依据、改登记为课上练习或学校作业；不追未交、不催交；也不出题、不判分、不写家长消息、不写课后记录——课上练习的题转 exam-designer，家长消息转 parent-communication，课后记录转 lesson-log。
帮独立教师跟进课上练习与学员带来的学校作业、考试错题：登记、追状态、归错因、导出下节课讲什么。适用于老师说"登记今天课上的练习""[化名] 课上那份练习做完了吗""[化名] 带来了学校作业，帮我归一下错因""考试错题帮我归类""错题回流""下节课该讲什么""这道题他错第三次了""看下 [化名]…
As a process C 55/100 · 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: 16. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 370 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 "id" - note
frontmatter-keyunknown frontmatter key "min_platform_version" - note
frontmatter-keyunknown frontmatter key "max_round_limit" - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "summary"
Process rating: all ten parameters 55/100
- 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
- 20When it triggers. No condition that starts the skill
- 100Tools and files. No external tools needed
- 100Steps. 34 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3909 tokens
- 100Running it twice. No mutating operations
- 100Progress reporting. Reports progress
- low 16 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 7 example trigger phrases
- +3Description length 370: enough signal without eating the budget
- +4Structure: 36 headings
- +3Step-by-step instructions: 34 items
- +4Has examples (15 code blocks)
- +4Reference files are cited in the instructions (5 of 5)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.