Sign in
Explore
Skills · SkillEveryday codingData & AIReviewed

santa-method

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.

Kind
Skill
Works with
Claude Code, Codex
Source
affaan-m/ECC @ d3b8a3e90890
Path
skills/santa-method/SKILL.md
License
MIT
Jobs
Review, Debugging, Guardrails
InstallCopy it from the source repository, or sign in and let the assistant adapt it for your project.
# 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

```
┌─────────────┐
│  GENERATOR   │  Phase 1: Make a List
│  (Agent A)   │  Produce the deliverable
└──────┬───────┘
       │ output
       ▼
┌──────────────────────────────┐
…