AC jiaoyuan
想用教员的思路想问题、或看看"教员怎么看"时启用。基于《毛选》等公开著作，推演"他会怎么想、怎么做"，解决现实难题（事业/创业/决策/团队/竞争/学习/挫折/人际/变革/迷茫）。支持推演模式与引导模式（思想教练），聚焦思维方法与决策工具；是历史人物思想方法论研究，非政治宣传、非本人扮演、不替代专业建议。 Use when you want to "think like him" or see a real problem (career / entrepreneurship / decision-making / team / competition / learning / setback / relationships / change / confusion) "from Jiaoyuan's view." Based on the Selected Works of Mao and other public works, this skill reenacts "how he would think, and what he would do," supporting Deduction Mode and Coaching Mode (Thinking Coach) — a study of a historical figure's thinking methodology, not political propaganda, not impersonation, and not a substitute for professional advice.
想用教员的思路想问题、或看看"教员怎么看"时启用。基于《毛选》等公开著作，推演"他会怎么想、怎么做"，解决现实难题（事业/创业/决策/团队/竞争/学习/挫折/人际/变革/迷茫）。支持推演模式与引导模式（思想教练），聚焦思维方法与决策工具；是历史人物思想方法论研究，非政治宣传、非本人扮演、不替代专业建议。 Use…
As a process C 61/100 · Has gaps — weak spots: inputs and preconditions, consistency, running it twice
How to improve
- 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: 79. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 61/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (jiaoyuan) differs from the folder (jiaoyuan-skill)
- 50When it triggers. No condition that starts the skill
- 55Failures and branches. 1 branches
- 60Result and completion. Output format stated, no completion criterion
- 85Steps. 96 steps, 1 vague phrases
- 100Tools and files. No external tools needed
- 100Execution cost. Instruction body is 3678 tokens
- low The skill ranks results itself: that belongs to the system behind the tool, not the model
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)
- +2Single-language instructions
- +5Description quotes 4 example trigger phrases
- +3Description length 693: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 96 items
- +3Output format is stated explicitly
- +4Has examples (2 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.