santa-method

Coordinate dual-review verification of generated outputs with independent reviewers.

Updated Mar 31, 2026
One-click install
npx skills add https://github.com/GGEdu/claude-god-mode-template --skill santa-method-ggedu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: santa-method
Source: https://github.com/GGEdu/claude-god-mode-template/tree/main/docs/patterns/santa-method
Command: npx skills add https://github.com/GGEdu/claude-god-mode-template --skill santa-method-ggedu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Santa Method enables multi-agent adversarial verification to improve output reliability by requiring two independent reviewers to validate results before shipping.

Core Features & Use Cases

  • Dual independent reviewers with isolated contexts to prevent cross-contamination.
  • Verdict gate that requires both reviewers to pass before ship.
  • Iterative convergence loop with fresh reviewer instances per round to avoid memory of prior rounds.
  • Clear failure modes and mitigations for robustness in high-stakes content.
  • Suitable for compliance-sensitive or production deployments requiring strong verification.
  • Use Case: apply to policy documents, technical docs, or code reviews where accuracy matters.

Quick Start

Spawn two independent reviewers to validate your latest output and converge on a NICE verdict.

Frequently Asked Questions about santa-method

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

FAQPage Schema
How does dual-review verification improve output compliance for production deployments?

Dual-review verification improves output compliance by spawning two independent reviewers with isolated contexts to validate results, preventing cross-contamination and ensuring high-stakes content meets regulatory standards before shipping.

What is the best way to verify technical documentation accuracy using independent reviewers?

The best way to verify technical documentation accuracy is applying a fixed rubric across isolated reviewer instances, requiring both to pass a verdict gate before shipping to ensure repeatable safety and convergence.

Can I use convergence looping to handle failed quality-assurance verdicts in code reviews?

Yes, you can use convergence looping to handle failed quality-assurance verdicts by spawning fresh reviewer instances per round, avoiding memory of prior rounds to iteratively resolve failures in code reviews.

When do I need adversarial dual-review for regulatory compliance tasks?

You need adversarial dual-review for regulatory compliance tasks when shipping high-stakes outputs like policy documents or production deployments, where accuracy matters and isolated contexts prevent cross-contamination.

Does the santa-method convergence loop work without external dependencies for quality assurance?

Yes, the santa-method convergence loop works without external dependencies for quality assurance, implementing a fixed rubric, independent reviewers, and recorded outcomes entirely within its internal design.

Why does reviewer isolation matter for high-stakes technical documentation verification?

Reviewer isolation matters for high-stakes technical documentation verification because it prevents cross-contamination between agents, ensuring each reviewer independently validates outputs against a fixed rubric for reliable convergence.