santa-method

santa-method is a skill for Claude Code, Codex from majiang213/OpenClaw-MAS. It costs 24 tokens per session (2,779 once invoked), scanned A, a copy of santa-method, MIT.

A review process in which two independent agents check an answer before it is published, deployed, or given to users.

In plain words
What is it for?
Use it for production code, compliance-sensitive work, customer-facing content, technical documentation, and other outputs where accuracy matters.
Why use it?
It reduces the chance that one agent’s mistakes, blind spots, or unsupported claims pass through its own review.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; mentions Claude Code.

Good fit Use it for production code, compliance-sensitive work, customer-facing content, technical documentation, and other outputs where accuracy matters.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/majiang213/openclaw-mas/santa-method
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add majiang213/OpenClaw-MAS --skill santa-method
Clone the repo
git clone --depth 1 https://github.com/majiang213/OpenClaw-MAS

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for santa-method

README.md
[![agentmods](https://agentmods.dev/badge/skills/majiang213/openclaw-mas/santa-method.svg)](https://agentmods.dev/skills/majiang213/openclaw-mas/santa-method)
Your own site
<a href="https://agentmods.dev/skills/majiang213/openclaw-mas/santa-method"><img src="https://agentmods.dev/badge/skills/majiang213/openclaw-mas/santa-method.svg" alt="Measured on agentmods" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,779 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 92% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00024 $0.02779
Opus 5 $0.00012 $0.01389
Sonnet 5 $0.00005 $0.00556
Haiku 4.5 $0.00002 $0.00278

Measured 4d ago against content hash d70951d3b0dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

santa-method scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

92% identical to santa-method — 5 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

ecc-skills/santa-method/SKILL.md · 307 lines

How it starts

The opening of the file, as written. The whole thing — 307 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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
       ▼
┌──────────────────────────────┐
│     DUAL INDEPENDENT REVIEW   │  Phase 2: Check It Twice
│                                │
│  ┌───────────┐ ┌───────────┐  │  Two agents, same rubric,
│  │ Reviewer B │ │ Reviewer C │  │  no shared context
│  └─────┬─────┘ └─────┬─────┘  │
│        │              │        │
└────────┼──────────────┼────────┘
         │              │
         ▼              ▼
┌──────────────────────────────┐
│        VERDICT GATE           │  Phase 3: Naughty or Nice
│                                │
│  B passes AND C passes → NICE  │  Both must pass.
│  Otherwise → NAUGHTY           │  No exceptions.
└──────┬──────────────┬─────────┘
       │              │
    NICE           NAUGHTY
       │              │
       ▼              ▼
   [ SHIP ]    ┌─────────────┐
               │  FIX CYCLE   │  Phase 4: Fix Until Nice
               │              │
               │ iteration++  │  Collect all flags.
               │ if i > MAX:  │  Fix all issues.
               │   escalate   │  Re-run both reviewers.
               │ else:        │  Loop until convergence.
               │   goto Ph.2  │
               └──────────────┘

Read the full file on GitHub · 307 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 307 lines · 24 tokens per session scan A d70951d3b0dd

Subscribe to this mod's changes

santa-method is a skill published in the GitHub repository majiang213/OpenClaw-MAS (5 stars, last pushed 5mo ago), licensed MIT. It adds 24 tokens to every session and 2,779 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to santa-method, differing in 5 lines, and is treated as a copy.

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