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andrewthetechie
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jimmy-montecarlo

Measure prompt response stability and variance using Llama 3.1 8B.

2|2|Updated Apr 2, 2026
Search Tags:#prompt analysis#parallel responses#prompt stability#Jimmy#prompt variance
One-click install
npx skills add https://github.com/andrewthetechie/jimmy-skills --skill jimmy-montecarlo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: jimmy-montecarlo
Source: https://github.com/andrewthetechie/jimmy-skills/tree/main/.claude/skills/jimmy-montecarlo
Command: npx skills add https://github.com/andrewthetechie/jimmy-skills --skill jimmy-montecarlo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill assesses the stability and variance of a prompt's responses by sending it multiple times to Jimmy, a hardware-accelerated Llama 3.1 8B, and analyzing the results.

Core Features & Use Cases

  • Prompt Stability: Determines if a prompt is reliable before investing Claude tokens.
  • Prompt Comparison: Compares two prompts by running them multiple times and analyzing the agreement rate.
  • Pre-commit Regression Check: Verifies that system prompt changes do not reduce response stability.
  • Estimating Prompt Difficulty: Identifies ambiguous instructions or edge-case inputs that may lead to unstable prompts.

Quick Start

Use the jimmy-montecarlo skill to test the stability of the prompt 'Classify this as bug/feature/chore: Fix null pointer in UserService' with 20 samples.

Frequently Asked Questions about jimmy-montecarlo

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I test prompt stability and variance before deploying to production?▼

You can check prompt stability by sending the prompt multiple times to a hardware-accelerated Llama 3.1 8B model. This analyzes agreement rate, unique response count, and length distribution to yield a stability verdict for prompt quality gating.

What is the best way to compare two prompts for response consistency?▼

Comparing two prompts involves running them multiple times in parallel to analyze their agreement rate. This identifies ambiguous instructions or edge-case inputs that cause unstable responses, helping you select the more reliable prompt.

Can I run a pre-commit regression check on system prompt changes?▼

Yes, you can run a pre-commit regression check by testing modified system prompts across multiple parallel samples. This verifies that system prompt changes do not inadvertently reduce response stability or increase variance.

How does parallel response analysis estimate prompt difficulty?▼

Parallel response analysis estimates prompt difficulty by sending the prompt multiple times and measuring the variance. High variance and a low agreement rate identify ambiguous instructions or edge-case inputs that make a prompt unstable.

Do I need to use Claude tokens to measure prompt stability?▼

No, you do not need to use Claude tokens to measure prompt stability. The analysis uses Jimmy, a hardware-accelerated Llama 3.1 8B, allowing you to test reliability and gate prompt quality before investing Claude tokens.

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