santa-method SKILL.md skillA

santa-method from ethanyoq/skill-hub is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add ethanyoq/skill-hub/santa-method@git:20260829.3fe0b55

Pins git:20260829.3fe0b55 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
ethanyoq/skill-hub
Path
skills/01-agent-engineering/santa-method/SKILL.md
Versions recorded
3
Latest version
git:20260829.3fe0b55, committed Aug 29, 2026
First version recorded
Apr 14, 2026
Size
12,875 bytes
Repository stars
11
License
MIT

Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships. Use when output must clear two independent adversarial reviewers before it ships.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 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
       ▼
┌──────────────────────────────┐
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add ethanyoq/skill-hub/santa-method@sha256:190176ee80a72c16

The line at the top of this page pins the label git:20260829.3fe0b55, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_hg26fducoivjcqgb.svg)](https://markdownregistry.com/a/art_hg26fducoivjcqgb)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Apr 14, 2026 and Aug 29, 2026, about one every 68 days.

versioncommittedcommitsizeaudit
git:20260829.3fe0b55 latest2026-08-29 3fe0b55 12,875 BA view · diff
git:20260704.a768ef42026-07-04 a768ef4 12,793 BA view · diff
git:20260414.4c610022026-04-14 4c61002 12,781 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (12875 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

ethanyoq/skill-hub · 11 stars · license MIT · pushed 2026-10-19 · branch mine

API

GET https://markdownregistry.com/api/v1/artifacts/art_hg26fducoivjcqgb
GET https://markdownregistry.com/api/v1/resolve?ref=ethanyoq/skill-hub/santa-method
GET https://markdownregistry.com/api/v1/blob/190176ee80a72c1642f255a4dfdeb3bb12799212d5c04b05c9be914764749f6b

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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