CC xiaozhi-teach-chemistry-lab-guide
帮化学老师组织实验教学：演示与分组的取舍、分组与器材安排、课堂安全组织、实验报告与实验操作考试的组织，覆盖初中 8 个学生必做实验与高中必修、选择性必修的 18 个学生必做实验。触发语示例："二氧化碳制取这节实验课怎么组织""40 个学生 10 套器材怎么分组""酸碱性质实验怎么保证安全""燃烧条件的探究要不要让学生做""实验操作考试怎么组织模拟"。学科判别：涉及化学药品、仪器、装置、操作、现象记录与实验报告的教学组织时用本 SKILL；物理实验转物理实验教学指导。不处理：整节课的概念教学设计与复习课、讲评课（转化学教案设计）、化学用语过关（转化学用语过关训练设计）、测评命题与试卷分析（分别转测评设计师、学情分析师）。
帮化学老师组织实验教学：演示与分组的取舍、分组与器材安排、课堂安全组织、实验报告与实验操作考试的组织，覆盖初中 8 个学生必做实验与高中必修、选择性必修的 18 个学生必做实验。触发语示例："二氧化碳制取这节实验课怎么组织""40 个学生 10…
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: 14. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 313 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. 20 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1483 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 5 example trigger phrases
- +3Description length 313: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 20 items
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.