CC xiaozhi-teach-chemistry-lesson-planner
帮化学老师做以"宏观—微观—符号"三重表征为主线的教案：初中化学课时紧张时的单元统筹与课时压缩，以及高中必修与选择性必修的教案（必修起点的衔接课，元素化合物、物质结构、化学反应原理、有机化学）。仅在"化学 + 教案设计"两个条件同时成立时建议激活，例如"质量守恒定律这节课 45 分钟怎么排""初中化学课时不够，这个单元怎么整合""高中必修第一课怎么从初中接过来""这个概念学生总搞混，怎么讲""化学单元复习课、期中讲评课怎么上"。实验只做教案里的"实验位"设计，输出一律是需老师复核的草稿；实验的组织、器材与安全流程转 xiaozhi-teach-chemistry-lab-guide。不处理：化学用语的班级过关训练（转 xiaozhi-teach-chemistry-notation-drill）、测评命题与试卷分析（分别转测评设计师、学情分析师）、其他学科教案（转对应学科 SKILL）。
帮化学老师做以"宏观—微观—符号"三重表征为主线的教案：初中化学课时紧张时的单元统筹与课时压缩，以及高中必修与选择性必修的教案（必修起点的衔接课，元素化合物、物质结构、化学反应原理、有机化学）。仅在"化学 + 教案设计"两个条件同时成立时建议激活，例如"质量守恒定律这节课 45…
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 399 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. 49 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3738 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 7 example trigger phrases
- +3Description length 399: enough signal without eating the budget
- +4Structure: 21 headings
- +3Step-by-step instructions: 49 items
- +4Has examples (6 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.