CC xiaozhi-teach-renewal-report
用学员真实的学习记录做一份阶段报告，让续课变成家长看完事实后的自主选择。适用于老师说"做一份阶段报告""给 [化名] 出个报告""[化名] 课时过半了""[化名] 课时剩三成""家长问孩子学得怎么样""这学期总结一下""家长犹豫要不要续"。流程：汇总课后记录与作业错因 → 写事实/进步/计划三段 → 无逐知识点分数时只出定性判断 → 给续课建议与话术。出报告前须先指定学员化名；它会读这名学员跨月的学习记录，家长可见的内容一律先过授权检查。本 SKILL 不记课后内容、不登记课上练习与学校作业、不排课、不发消息，也不改学员状态、不删学员档案（只删本 SKILL 自己写的阶段证据）——素材来自 lesson-log 与 homework-tracker，消息由老师自己发（措辞可交 parent-communication），档案变更转 student-intake。
用学员真实的学习记录做一份阶段报告，让续课变成家长看完事实后的自主选择。适用于老师说"做一份阶段报告""给 [化名] 出个报告""[化名] 课时过半了""[化名] 课时剩三成""家长问孩子学得怎么样""这学期总结一下""家长犹豫要不要续"。流程：汇总课后记录与作业错因 → 写事实/进步/计划三段 →…
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: 13. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 386 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 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. 27 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3901 tokens
- 100Running it twice. No mutating operations
- 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 386: enough signal without eating the budget
- +4Structure: 34 headings
- +3Step-by-step instructions: 27 items
- +4Has examples (19 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.