AC question-generator
AI智能出题系统。根据知识点、学习材料或主题，生成10种题型（单选/多选/判断/填空/简答/论述/计算/应用/匹配/案例分析）的多层次试题，基于Bloom分类法标注认知层次，附答案与详细解析，输出交互式HTML试卷。覆盖K12至高等教育及职业培训全场景。触发词：出题, 生成题目, 生成试题, 出几道题, 组卷, 试卷生成, 练习题, 测试题, 考试题, quiz, 生成测验, 题库, make exam, generate questions, question generator, 出一套题, 模拟试卷, 随堂测试, 单元测试, 期末试卷, 练习卷
AI智能出题系统。根据知识点、学习材料或主题，生成10种题型（单选/多选/判断/填空/简答/论述/计算/应用/匹配/案例分析）的多层次试题，基于Bloom分类法标注认知层次，附答案与详细解析，输出交互式HTML试卷。覆盖K12至高等教育及职业培训全场景。触发词：出题, 生成题目, 生成试题, 出几道题, 组卷…
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: 0. 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") - note
frontmatter-keyunknown frontmatter key "agent_created"
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. 38 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 976 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
- +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
- +1No license
- +2Single-language instructions
- +3Description length 278: enough signal without eating the budget
- +4Structure: 22 headings
- +3Step-by-step instructions: 38 items
- +4Has examples (2 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: 78.