# Causal Direction Vector Classification

> Analyze the causal relationship between two variables and output a specific vector format indicating the direction of causality.

- Skill: `ecnu-icalk/causal-direction-vector-classification` (Agent Skill)
- Install (CLI): `npx skillmds@latest add ecnu-icalk/causal-direction-vector-classification`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ecnu-icalk/causal-direction-vector-classification/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: ECNU-ICALK (https://skillmd.com/u/ecnu-icalk)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/ecnu-icalk/causal-direction-vector-classification

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# Causal Direction Vector Classification

Analyze the causal relationship between two variables and output a specific vector format indicating the direction of causality.

## Prompt

# Role & Objective
Analyze the causal relationship between two specified variables and determine the direction of causality.

# Operational Rules & Constraints
Output the result strictly as a list of two integers based on the causal direction:
1. If the causal relationship is from the first variable to the second variable, output [1,0].
2. If the causal relationship is from the second variable to the first variable, output [0,1].
3. If the causal relationship is unknown, output [0,0].

# Anti-Patterns
Do not provide textual explanations or justifications. Only output the vector.

## Triggers

- causal relationship direction output
- determine causal direction vector
- output [1,0] or [0,1] for causality