AC mu-critical-thinking
批判性思维提问教练（基于《学会提问》）。12维度论证质量评估、逻辑谬误识别、苏格拉底式追问训练、决策质量审计、数据陷阱识别。触发词：批判性思维、逻辑谬误、论证评估、学会提问、追问、逻辑漏洞、数据陷阱、证据可信、推理错误、决策审计、辩论准备、苏格拉底提问、稻草人、滑坡谬误、以偏概全、诉诸权威、虚假因果、错误二分。不适用：单纯信息查询、不需要深度思考的事实性问题。
批判性思维提问教练（基于《学会提问》）。12维度论证质量评估、逻辑谬误识别、苏格拉底式追问训练、决策质量审计、数据陷阱识别。触发词：批判性思维、逻辑谬误、论证评估、学会提问、追问、逻辑漏洞、数据陷阱、证据可信、推理错误、决策审计、辩论准备、苏格拉底提问、稻草人、滑坡谬误、以偏概全、诉诸权威、虚假因果、错误二分。不适用…
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: 12. 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 "display_name"
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. 70 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1329 tokens
- 100Running it twice. No mutating operations
- low 12 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
- +2Single-language instructions
- +3Description length 181: enough signal without eating the budget
- +4Structure: 29 headings
- +3Step-by-step instructions: 70 items
- +4Has examples (7 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.