AC smart-classroom-teaching
智慧课堂教学领域负载物，完整承载智能黑板的 AI 教学能力层（软硬解耦后的软件与方法论），与宿主模型及电脑外设（屏幕/喇叭/麦克风/键盘）协同，端到端执行智能教学与演示讲解任务。覆盖教学可视化、虚拟人思辨引导、课堂实录分析与诊断、个性化因材施教、多模态指令交互、教学资源生成、内容安全合规七大域。触发词：智慧课堂、智能教学、智能黑板、AI黑板、教学可视化、课堂实录分析、教学诊断报告、苏格拉底式诘问、虚拟人教学、因材施教、分层教学、微课切片、教学资源生成、备课、演示、讲解、meta-skill-system。
智慧课堂教学领域负载物，完整承载智能黑板的 AI…
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.
- 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-no-whendescription does not say WHEN to use the skill (no "use when")
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. 37 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1462 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
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
- +3Description length 255: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 37 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.