Santa Method

Two independent agents review your output against the same rubric with zero shared context, and both have to pass before anything ships. The insight is simple: one agent reviewing its own work carries the same blind spots that created the output in the first place. Built for production code, customer-facing content, and compliance-sensitive work where hallucinations or systematic errors matter. If either reviewer flags an issue, a fix agent patches it and both reviewers run again on fresh instances with no memory of prior rounds. Caps at three iterations before escalating to human review. Ronald Skelton built this at RapportScore.ai for catching the stuff that slips through when you're the only one looking at your own output.

skills.sh installs: 4.2K
GitHub stars: 229.1K
last updated: Jul 14, 2026

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Install

$ npx -y skills add affaan-m/everything-claude-code --skill santa-method --agent claude-code

Installs into .claude/skills of the current project.

Files

Santa Method

Multi-agent adversarial verification framework. Make a list, check it twice. If it's naughty, fix it until it's nice.

The core insight: a single agent reviewing its own output shares the same biases, knowledge gaps, and systematic errors that produced the output. Two independent reviewers with no shared context break this failure mode.

When to Activate

Invoke this skill when:

Output will be published, deployed, or consumed by end users
Compliance, regulatory, or brand constraints must be enforced
Code ships to production without human review
Content accuracy matters (technical docs, educational material, customer-facing copy)
Batch generation at scale where spot-checking misses systemic patterns
Hallucination risk is elevated (claims, statistics, API references, legal language)

Do NOT use for internal drafts, exploratory research, or tasks with deterministic verification (use build/test/lint pipelines for those).