OpenClaw
10-of-my-most-popular-text-to-image-series-prompts-78b0897e
generate a bunch of images, then you curate the results to handpick the best ones
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rv-measure
Quantifies R_V contraction signatures in AI models.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install amitabhainarunachala/rv-measureInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Skill 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
Source information
- Source
- github
- Repository
- openclaw/skills
- Path
- skills/amitabhainarunachala/rv-measure
- Version
- 0.1.0
- Commit
- 46135a6409355b938b32ee6f9e69fb5fcaec4516
- Classification source
- rules
- Status
- active
- Visibility
- public
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
Extracted content
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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