AC art-of-questioning
培养洞察力和深度提问能力的双模式 Skill。 实战模式：分析用户正在学习/听/读的内容，自适应匹配 15+ 跨学科提问方法论， 生成 5 个关键环节的深度问题清单，每个问题标注方法论和认知层次。 训练模式：构造仿真场景，分环节教学讲解最佳提问方式，支持定时任务自动触发。 当用户需要深度理解内容、准备提问、练习批判性思考时使用。 触发词：提问训练、提问的艺术、帮我提问、深度提问、洞察提问、提问练习、 art of questioning、questioning practice、如何提问、提问辅助、 critical questioning、ask better questions、深度思考。 不适用于：写 prompt、生成面试题、FAQ 编写、客服话术设计。
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: 3. 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. 35 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 957 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 335: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 35 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.