What is the 150% Proof Rule?

It requires 100% core primary evidence plus an additional 50% enhancement through independent secondary validation and active gap-filling to ensure maximum reliability.

When is it best to use the Analyze-Verify skill?

Use it for high-stakes situations such as legal compliance, architectural choices, or any scenario where an unverified claim could result in production failures or business risk.

How does the Loop150 protocol work?

If a claim's confidence score is below 85%, the skill triggers a recursive research loop to broaden the search scope, use alternative research methods, and perform deeper analysis until the threshold is met.

What happens if the 85% confidence threshold cannot be met?

If sources are exhausted and confidence remains low, the skill will escalate the issue to the user, providing a transparent report of findings, gaps, and why a higher certainty could not be achieved.

Analyze-Verify 150 Protocol

Name: Analyze-Verify 150 Protocol
Author: MykhailoDmytriakha

byMykhailoDmytriakha

0•

Security & Testing

Verifies critical claims and factual assertions through source-backed evidence and recursive confidence-building loops.

The Analyze-Verify 150 Protocol is a high-integrity verification framework designed for Claude Code users who need absolute certainty in high-stakes environments. It transforms raw assertions into 'proof-grade' facts by requiring primary and secondary sources, assigning quantitative confidence scores, and automatically triggering deep-research loops (Loop150) whenever confidence falls below 85%. Whether you are making architectural decisions, legal compliance assessments, or critical business claims, this skill ensures that every piece of information is cross-validated and transparently documented, minimizing the risk of hallucinations or errors in professional workflows.

Key Features

010 GitHub stars

02Automated Loop150 recursive research for low-certainty data

03Multi-source cross-validation for high-stakes technical claims

04Rigorous source reliability assessment (Authority, Currency, Objectivity)

05Quantitative confidence scoring based on evidence strength

06Standardized 'Proof-Grade' verification output formatting

Use Cases

01Validating critical software architecture and infrastructure decisions

02Verifying performance metrics and data-driven business claims

03Ensuring factual accuracy in legal, compliance, and security audits

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add mykhailodmytriakha/my-preacher-helper 32-analyze-verify-150

For use in Claude.ai and ChatGPT

Download Skill