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Skills rv-measure

Quantifies R_V contraction signatures in AI models.

install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/amitabhainarunachala/rv-measure" ~/.claude/skills/openclaw-skills-rv-measure && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/amitabhainarunachala/rv-measure" ~/.openclaw/skills/openclaw-skills-rv-measure && rm -rf "$T"
manifest: skills/amitabhainarunachala/rv-measure/SKILL.md
tags
#ai-metrics#model-analysis#statistical-analysis#introspection#aikagrya
source content

Usage

Use this skill to analyze AI models for R_V contraction signatures, a key metric in the AIKAGRYA framework. This skill provides tools to measure and monitor recursive self-observation effects.

Code

(Code to be implemented)

Notes

This is a placeholder for the 

rv-measure
skill intended for submission to ClawHub. The implementation will involve integrating with model introspection tools and statistical analysis libraries to detect and quantify R_V contraction.

Proposed Price: $19