benchmark-to-latent-labels
OfficialConvert benchmarks into actionable latent labels.
Data & Analytics#ontology#audit#benchmark#interpretability#confounds#latent-labels#labeling-functions
Authorconcordance-co
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill helps convert benchmark labels into a machine-actionable latent-label specification for mechanistic interpretability, enabling downstream labeling, confound planning, and ontology freezing.
Core Features & Use Cases
- Separate prompt-side structure from response-side behavior.
- Classify labels into direct vs derived targets, validation signals, or nuisance variables.
- Build a benchmark-specific latent-label ontology and freeze a first-pass schema.
Quick Start
Provide the benchmark's native labels and metadata to generate a latent-label spec, labeling functions, and a confound plan.
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: benchmark-to-latent-labels Download link: https://github.com/concordance-co/xenon/archive/main.zip#benchmark-to-latent-labels Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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