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.
npx skills add Signal-Execution-Labs/forex-trading-ai-agent --skill auto-pattern-recognitiongit clone --depth 1 https://github.com/Signal-Execution-Labs/forex-trading-ai-agentWrote 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.
[](https://agentmods.dev/skills/signal-execution-labs/forex-trading-ai-agent/auto-pattern-recognition)<a href="https://agentmods.dev/skills/signal-execution-labs/forex-trading-ai-agent/auto-pattern-recognition"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/auto-pattern-recognition/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/signal-execution-labs/forex-trading-ai-agent/auto-pattern-recognition"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/auto-pattern-recognition.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00959 |
| Opus 5 | $0.00000 | $0.00479 |
| Sonnet 5 | $0.00000 | $0.00192 |
| Haiku 4.5 | $0.00000 | $0.00096 |
Grade A, and why
auto-pattern-recognition 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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- auto-pattern-recognition — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Auto Pattern Recognition
Automated chart pattern detection with AI-powered confirmation. Identifies 30+ patterns in real-time.
Features
- Classic Patterns: Head & Shoulders, Double Top/Bottom, Triangles
- Harmonic Patterns: Gartley, Butterfly, Bat, Crab, Shark, Cypher
- Candlestick Patterns: Engulfing, Doji, Hammer, Morning/Evening Star
- Wave Patterns: Elliott Wave, Wolfe Waves, Wedges
- AI Confirmation: Neural network validates pattern quality
- Multi-Timeframe: Scans across all timeframes simultaneously
- Alert Integration: Instant notifications when patterns complete
Supported Patterns (30+)
Reversal Patterns
- Head & Shoulders (regular & inverse)
- Double Top / Double Bottom
- Triple Top / Triple Bottom
- Rounding Top / Bottom
- Diamond Top / Bottom
- Island Reversal
Continuation Patterns
- Ascending / Descending Triangle
- Symmetrical Triangle
- Bull / Bear Flag
- Bull / Bear Pennant
- Rectangle / Channel
- Cup & Handle
Harmonic Patterns
- Gartley (0.786 XA retracement)
- Butterfly (1.27 or 1.618 XA extension)
- Bat (0.886 XA retracement)
- Crab (1.618 XA extension)
- Shark (0.886 / 1.13)
- Cypher (0.786 / 1.272)
- ABCD Pattern
Candlestick Patterns
- Bullish/Bearish Engulfing
- Morning Star / Evening Star
- Hammer / Hanging Man
- Doji Variants
- Three White Soldiers / Black Crows
- Piercing Line / Dark Cloud Cover
Usage
import { PatternRecognition } from 'kit-trading/skills/auto-pattern-recognition';
// Scan for all patterns
const patterns = await PatternRecognition.scan({
symbol: 'BTCUSDT',
timeframes: ['15m', '1h', '4h'],
categories: ['reversal', 'harmonic', 'candlestick'],
minQuality: 0.7, // 70% pattern quality threshold
});
// Subscribe to pattern alerts
PatternRecognition.onPattern('BTCUSDT', (pattern) => {
console.log(`${pattern.type} detected on ${pattern.timeframe}`);
console.log(`Quality: ${pattern.quality}%, Target: ${pattern.target}`);
});
Configuration
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 128 lines · 0 tokens per session scan A a22061945a4d
auto-pattern-recognition is a skill published in the GitHub repository Signal-Execution-Labs/forex-trading-ai-agent (136 stars, last pushed 9d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 959 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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