智能体工作流

santa-method

affaan-m/ecc

Multi-agent adversarial verification: two independent reviewers with the same rubric must both pass before output ships, with a fix-and-re-review convergence loop and human escalation cap. Use when gating publishing, production deploys, compliance or brand-sensitive content, or hallucination-prone claims before they ship.

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安装命令

npx skills add https://github.com/affaan-m/ecc --skill santa-method

SKILL.md

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).

Architecture