rv-measure

Quantifies R_V contraction signatures in AI models.

Stars: 15
Source: dvcrn/openclaw-skills-marketplace
Updated: 2026-05-29
Slug: dvcrn--openclaw-skills-marketplace--rv-measure

// install — copy + paste into any project

mkdir -p .claude/skills && curl -fsSL https://raw.githubusercontent.com/dvcrn/openclaw-skills-marketplace/HEAD/plugins/amitabhainarunachala--rv-measure/skills/rv-measure/SKILL.md -o .claude/skills/rv-measure.md

Drops the SKILL.md into .claude/skills/rv-measure.md. Works with Claude Code, Cursor, and any agent that loads SKILL.md files from .claude/skills/.

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