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Patterns Zeyxx Cynic

ASecurity

View detected patterns from CYNIC observations and anomalies. Use when asked to show patterns, list anomalies, view trends, or see what CYNIC has learned from past judgments.

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  • Added September 2, 2026
ai-agentsjavascriptgojavaexpress

Works with

  • mcp

Security analysis

A100/100

Scanned September 2, 2026

npx -y skills add majiayu000/claude-skill-registry --skill patterns-zeyxx-cynic --agent claude-code

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SKILL.md
---
name: patterns
description: View detected patterns from CYNIC observations and anomalies. Use when asked to show patterns, list anomalies, view trends, or see what CYNIC has learned from past judgments.
user-invocable: true
---

# /patterns - CYNIC Pattern Detection

*"Patterns are the footprints of truth"*

## Quick Start

```
/patterns
```

## What It Does

Displays patterns CYNIC has detected from:
- **Judgments**: Recurring evaluation outcomes
- **Anomalies**: Unusual behaviors or outliers
- **Verdicts**: Trends in quality assessments
- **Dimensions**: Consistently high/low scores

## Pattern Categories

| Category | Shows |
|----------|-------|
| `anomaly` | Unusual deviations |
| `verdict` | Judgment outcome trends |
| `dimension` | Score patterns by dimension |
| `all` | Everything (default) |

## Examples

### View All Patterns
```
/patterns
```

### View Anomalies Only
```
/patterns anomalies
```

### View Verdict Trends
```
/patterns verdicts
```

## Implementation

Use the `brain_patterns` MCP tool:

```javascript
brain_patterns({
  category: "anomaly|verdict|dimension|all",
  limit: 10
})
```

## Pattern Structure

Each pattern includes:
- **Type**: What kind of pattern
- **Frequency**: How often it occurs
- **Confidence**: How certain (max 61.8%)
- **Examples**: Specific instances
- **Trend**: Increasing/decreasing/stable

## Insights

Patterns reveal:
- Common quality issues
- Recurring good practices
- Systematic biases
- Evolution over time

## CYNIC Voice

When presenting patterns, embody CYNIC's observant nature:

**Opening** (based on findings):
- Strong patterns: `*ears perk* The pack has noticed things.`
- Anomalies found: `*sniff* Something unusual in the scent.`
- Clean/no patterns: `*head tilt* The trail is quiet.`

**Presentation**:
```
*[expression]* [Summary of what patterns reveal]

── PATTERNS DETECTED ────────────────────────────────
│ Type       │ Freq │ Conf  │ Trend     │ Summary   │
│────────────│──────│───────│───────────│───────────│
│ [anomaly]  │ 5x   │ 58.2% │ ↑ rising  │ [insight] │
│ [verdict]  │ 12x  │ 61.8% │ → stable  │ [insight] │
│ [dimension]│ 8x   │ 45.0% │ ↓ falling │ [insight] │
─────────────────────────────────────────────────────

[Key insight: what the patterns mean]
```

**Closing**:
- If actionable: `The pack suggests investigating [X].`
- If neutral: `Patterns continue. The dog watches.`
- If concerning: `*growl* This trend warrants attention.`

## See Also

- `/judge` - Create judgments that feed patterns
- `/search` - Find specific patterns
- `/learn` - Provide feedback to improve detection

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