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rv-measure
Quantifies R_V contraction signatures in AI models.
Installation
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install amitabhainarunachala/rv-measureExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Instructions
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
Informations sur la source
- Source
- github
- Repository
- openclaw/skills
- Path
- skills/amitabhainarunachala/rv-measure
- Version
- 0.1.0
- Commit
- 46135a6409355b938b32ee6f9e69fb5fcaec4516
- Source de classification
- rules
- Statut
- active
- Visibilité
- public
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
Contenu extrait
SKILL.md
## 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
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