BC xiaozhi-teach-physics-experiment-coach
帮初中物理老师组织实验教学：实验目标→设计→实施→数据处理→结论→实验报告，含安全分级、分组与器材安排。触发语示例："测密度这节实验课怎么上""探究浮力大小的实验怎么设计""伏安法测电阻学生总接错线""实验数据处理该怎么讲""实验报告怎么批""器材只有 8 套，40 个人怎么分组"。学科判别：涉及初中物理器材、操作、变量控制、读数、数据表格、误差与实验报告时用本 SKILL；其他学科实验转对应学科 SKILL。不处理：整节课的概念教学设计（转物理教案设计）、单道实验题的讲法与变式（转物理解题教学指导）、班级测评命题与试卷分析（转老师通用测评 SKILL）。
帮初中物理老师组织实验教学：实验目标→设计→实施→数据处理→结论→实验报告，含安全分级、分组与器材安排。触发语示例："测密度这节实验课怎么上""探究浮力大小的实验怎么设计""伏安法测电阻学生总接错线""实验数据处理该怎么讲""实验报告怎么批""器材只有 8 套，40…
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: 18. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 281 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. 24 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3246 tokens
- 100Running it twice. No mutating operations
- low 15 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 281: enough signal without eating the budget
- +4Structure: 42 headings
- +3Step-by-step instructions: 24 items
- +4Has examples (24 code blocks)
- +4Reference files are cited in the instructions (8 of 8)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.