Attribution and Robustness
CommunityExplain changes, prove robustness.
Data & Analytics#analysis#robustness#attribution#reproducibility#experimentation#ablation#causal-inference
Authorsoheunyi
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Analyze attribution, ablations, and robustness to isolate causal drivers of performance changes. Use when the user asks what changed results, which component matters, or how robust findings are. Not for initial experiment design.
Core Features & Use Cases
- Guided attribution analysis and ablation planning to identify causes of performance shifts.
- Robustness validation through minimal, deterministic experiments and failure slices.
- Structured design of an ablation matrix to isolate signal from confounds.
Quick Start
Describe a minimal ablation plan for a recently changed model result and run it to identify causal drivers.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Attribution and Robustness Download link: https://github.com/soheunyi/get-research-done/archive/main.zip#attribution-and-robustness Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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