Plugin

everyday-causal-skills

A causal inference plugin for AI agents. Describe a problem in plain language and it helps you choose a method, check assumptions, write the analysis in R or Python, and stress-test the results. Who this is for: Anyone who needs to measure whether something actually worked, such as Marketing and growth teams; Product managers and BI analysts; Data scientists; Revenue and operations teams; Policy researchers; Students and self-taught practitioners. What you get from this plugin The plugin works in five steps, from refining the question you want to answer, to writing the report. You are free to pick and start from any step you like. → Describe your problem → Get a method recommendation → Check assumptions and structure the analysis → Stress-test the results → Write the executive report

• Published source
• Repository

Analysed

11 October 2026

Last observed

12 October 2026

What the code does

• Runs shell commands Code that starts system commands on the machine it runs on.
• Runs an AI coding agent unsupervised Code that starts an AI coding agent with its approval prompts switched off.

Having a capability is not wrongdoing; many tools need these to do their job. It tells you what to check before you install.

This is public metadata, not a safety certification or complete assessment. Static analysis cannot establish what a tool does at runtime.