AC chunfeng
东方智慧思维模型引擎（V1.1.0）。融合毛泽东思想方法论（《矛盾论》《实践论》）、查理芒格多元思维模型、马斯克第一性原理，为复杂问题提供深度分析框架。具备自我学习与迭代能力。触发场景：(1) 用户说"用春风分析"、"春风思维"、"用东方智慧分析"，(2) 用户面临复杂决策、矛盾困境、战略规划问题，(3) 用户说"帮我系统思考"、"深度分析这个问题"、"第一性原理分析"，(4) 需要矛盾分析、实践检验、逆向思考、多维视角时，(5) 用户说"多元思维"、"思维模型应用"、"系统方法论"。
As a process C 55/100 · 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.
For the model run — optional
- 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: 6. 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 55/100
- 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
- 20When it triggers. No condition that starts the skill
- 100Tools and files. No external tools needed
- 100Steps. 34 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1755 tokens
- 100Running it twice. No mutating operations
- 100Progress reporting. Reports progress
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)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 5 example trigger phrases
- +3Description length 245: enough signal without eating the budget
- +4Structure: 29 headings
- +3Step-by-step instructions: 34 items
- +4Has examples (15 code blocks)
- +4Reference files are cited in the instructions (1 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.
External checks
ClawHub: suspicious
This is a coherent thinking-framework skill, but it asks to automatically save analysis details and feedback for future reuse without clear opt-in, retention, or deletion controls.
LLM: suspicious (high) · VirusTotal: · 29 May 2026