Agent skill · Audited from source

Meta-Pattern Recognition

skill · obra/superpowers-skillsMIT licenceAudited 28 Oct 2026 · source 6d51b9a892b5

★ 756pushed 378 days agoarchived repositoryversion 1.1.0
✓SAFEGrade B · 89/100 · 28 Oct 2026 · 6d51b9a
756repo stars · whole obra/superpowers-skills

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 6d51b9a892b5 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Spot patterns appearing in 3+ domains to find universal principles

Ask an AI about this pageGChatGPTCClaudePPerplexityGeGeminiXGrok
More
Cite

Cite this page

ModelsAtlas. “Meta-Pattern Recognition (obra/superpowers-skills)”. Retrieved 28 Oct 2026. https://modelsatlas.com/skills/obra/meta-pattern-recognition

Trust audit

Audit 0.4.1 · source read 28 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 6d51b9a892b5 · 28 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publisherobra GitHub userOwner of the repository this skill is read from
  • Source folderobra/superpowers-skills/skills/problem-solving/meta-pattern-recognitionThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdict6d51b9a892b5A new audit runs when the source changes
  • Repository statusArchivedLast push 378 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Spot patterns appearing in 3+ domains to find universal principles

---
name: Meta-Pattern Recognition
description: Spot patterns appearing in 3+ domains to find universal principles
when_to_use: when noticing the same pattern across 3+ different domains or experiencing déjà vu in problem-solving
version: 1.1.0
---

# Meta-Pattern Recognition

## Overview

When the same pattern appears in 3+ domains, it's probably a universal principle worth extracting.

**Core principle:** Find patterns in how patterns emerge.

## Quick Reference

| Pattern Appears In | Abstract Form | Where Else? |
|-------------------|---------------|-------------|
| CPU/DB/HTTP/DNS caching | Store frequently-accessed data closer | LLM prompt caching, CDN |
| Layering (network/storage/compute) | Separate concerns into abstraction levels | Architecture, organization |
| Queuing (message/task/request) | Decouple producer from consumer with buffer | Event systems, async processing |
| Pooling (connection/thread/object) | Reuse expensive resources | Memory management, resource governance |

## Process

1. **Spot repetition** - See same shape in 3+ places
2. **Extract abstract form** - Describe independent of any domain
3. **Identify variations** - How does it adapt per domain?
4. **Check applicability** - Where else might this help?

## Example

**Pattern spotted:** Rate limiting in API throttling, traffic shaping, circuit breakers, admission control

**Abstract form:** Bound resource consumption to prevent exhaustion

**Variation points:** What resource, what limit, what happens when exceeded

**New application:** LLM token budgets (same pattern - prevent context window exhaustion)

## Red Flags You're Missing Meta-Patterns

- "This problem is unique" (probably not)
- Multiple teams independently solving "different" problems identically
- Reinventing wheels across domains
- "Haven't we done something like this?" (yes, find it)

## Remember

- 3+ domains = likely universal
- Abstract form reveals new applications
- Variations show adaptation points
- Universal patterns are battle-tested

Excerpt, first 2,020 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 6d51b9a

Download folder ↗
git clone https://github.com/obra/superpowers-skills
git -C superpowers-skills checkout 6d51b9a892b5

The author documents no install command, so this uses the repository directly. Our verdict covers commit 6d51b9a892b5 only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 6d51b9a892b5

Similar skills

Questions about Meta-Pattern Recognition

What does the Meta-Pattern Recognition skill do?
Community-editable skills for Claude Code's superpowers plugin
Is Meta-Pattern Recognition safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Meta-Pattern Recognition access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (6d51b9a892b5), read on 2026-10-28. The repository is watched, and a new audit runs when it changes — this is the first audit.

Sources

Spotted something wrong? Report a correction · Methodology

Keep going in your AI

Opens with this page as the source. We add nothing else to the prompt.