Rv Measure

v0.1.0

Quantifies R_V contraction signatures in AI models.

⭐ 0· 840·0 current·0 all-time

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Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for amitabhainarunachala/rv-measure.

Previewing Install & Setup.

Prompt PreviewInstall & Setup

Install the skill "Rv Measure" (amitabhainarunachala/rv-measure) from ClawHub.
Skill page: https://clawhub.ai/amitabhainarunachala/rv-measure
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install rv-measure

ClawHub CLI

Package manager switcher

npx clawhub@latest install rv-measure

Security Scan

VirusTotal

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OpenClaw

Benign

medium confidence

✓

Purpose & Capability

The name and description (measuring R_V contraction signatures) do not require any special credentials, binaries, or installs; the skill declares none, so there is no mismatch between purpose and requested capabilities.

ℹ

Instruction Scope

The SKILL.md contains only a high-level description and a 'Code to be implemented' placeholder — there are no runtime instructions, commands, file accesses, or external endpoints described. This makes the skill non-functional and vague rather than risky, but also means there is nothing concrete to evaluate.

✓

Install Mechanism

No install specification or code files are provided, so nothing will be written to disk or installed during skill setup.

✓

Credentials

The skill requests no environment variables, credentials, or config paths; there is no disproportionate access requested relative to the stated purpose.

✓

Persistence & Privilege

The skill does not request always:true and does not claim any special persistence or modification of other skills/system settings.

Assessment

This skill is essentially a stub: it declares a purpose but includes no implementation, no runtime instructions, and asks for no privileges — so installing it now is low-risk but also provides no functionality. Before relying on or paying for this skill, ask the publisher for a source repository or homepage, a concrete implementation (code or APIs it will call), and a clear list of required environment variables or network endpoints. If the skill is updated in the future, re-evaluate any added install steps, requested credentials, or network access before enabling it.

Like a lobster shell, security has layers — review code before you run it.

latestvk971vv2tpzewnd4xbxxj09pakh80xqqh

840downloads

0stars

1versions

Updated 1mo ago

v0.1.0

MIT-0

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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