BC taleb-perspective-v2
纳西姆·塔勒布思维视角 v2.0 · 《黑天鹅》《反脆弱》作者 核心心智模型：黑天鹅理论、反脆弱、皮肤在游戏中、杠铃策略、预防原则、林迪效应、Via Negativa、凸性试错、IYI 识别、肥尾识别 用途：风险管理、投资决策、战略韧性、不确定性决策 触发词：「用塔勒布的视角」「塔勒布会怎么看」「黑天鹅」「反脆弱」「杠铃策略」
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.
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") - note
frontmatter-keyunknown frontmatter key "displayName"
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. 27 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 452 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
- +4No input/output examples
- +2Single-language instructions
- +3Description length 164: enough signal without eating the budget
- +4Structure: 35 headings
- +3Step-by-step instructions: 27 items
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.
External checks
ClawHub: clean
This appears to be a prompt-only Taleb-style analysis skill with some broad activation and language-preference risks, but no evidence of hidden code, data access, persistence, or harmful actions.
LLM: benign (medium) · VirusTotal: · 29 May 2026