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santa-method

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About santa-method

S

santa-method

Multi-agent adversarial verification: two independent reviewers

santa-method is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It is a multi-agent adversarial verification method. Two independent reviewers, who share no context with each other or with the author, must both pass the same rubric before output is shipped, and when one fails, the output is fixed and reviewed again until both pass. The skill's reasoning is that a single agent reviewing its own work shares the biases and gaps that produced the work, so independent reviewers are needed to catch systematic errors. It is for output that will be published, deployed or used by end users, for compliance, regulatory or brand constraints, for code that ships without human review, for content where accuracy matters, for batch generation where spot checks miss patterns, and for text with elevated hallucination risk, such as claims, statistics, API references or legal language. The skill says not to use it for internal drafts, exploratory research or tasks with deterministic checks, which build, test and lint pipelines handle better. A skill is a SKILL.md file of instructions that an AI agent loads when a task calls for it. It is free and open source, and the skills.sh listing shows all three security audits passing.

View santa-methodAll AI Skills apps
Price
Free
Made by
affaan-m
Category
AI Skills
Website
github.com/affaan-m/ecc/santa-method