System Documentation

What problem does it solve?

It prevents research results from being hard to summarize by automatically converting an experiment plan plus produced artifacts into a single, evidence-grounded report.

Core Features & Use Cases

  • Plan-to-evidence scoring: Extracts objective, success criteria, and hypotheses from the session plan, then matches them to shipped and session-local analysis outputs.
  • Artifact-aware interpretation: Discovers what actually ran from resolved configs and on-disk artifacts, including session-local methods and analyses, and records plan-vs-reality gaps.
  • Optional paper comparison: When replication context is present, compares key metrics against the paper’s reported findings and annotates discrepancy categories.
  • Figure embedding and structured output: Copies/symlinks curated figures into the session result folder and writes a consistent result/REPORT.md, while logging issues separately.

Quick Start

Run the experiment with /run-experiment, then invoke interpret-experiment (or let it auto-run) to generate ${SESSION_DIR}/result/REPORT.md from the plan and artifacts.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: interpret-experiment
Download link: https://github.com/goodfire-ai/causalab/archive/main.zip#interpret-experiment

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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