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 order-flowgit 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/order-flow)<a href="https://agentmods.dev/skills/signal-execution-labs/forex-trading-ai-agent/order-flow"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/order-flow/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/order-flow"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/order-flow.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 | $0.00851 |
| Opus 5 | $0.00000 | $0.00426 |
| Sonnet 5 | $0.00000 | $0.00170 |
| Haiku 4.5 | $0.00000 | $0.00085 |
Grade A, and why
order-flow 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 8d 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:
- order-flow — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Institutional Order Flow Skill
Track and analyze smart money movements in real-time.
Description
This skill provides institutional-grade order flow analysis, detecting whale movements, dark pool activity, and smart money positioning across multiple markets.
Capabilities
Order Flow Detection
- Delta Analysis - Buy/sell imbalance detection
- Volume Profile - Price levels with high activity
- Footprint Charts - Bid/ask at each price level
- Cumulative Delta - Running total of buy/sell pressure
Smart Money Tracking
- Whale Alerts - Large order detection ($100K+)
- Iceberg Detection - Hidden order identification
- Spoofing Detection - Fake order wall identification
- Block Trade Alerts - Off-exchange large transactions
Dark Pool Analysis
- Dark Pool Prints - Hidden liquidity execution
- ATS Volume - Alternative Trading System activity
- Cross-Market Flow - Correlated movements
Institutional Signals
- COT Data - Commitment of Traders positioning
- Options Flow - Unusual options activity
- Put/Call Ratio - Sentiment from derivatives
- Open Interest - Position changes
Usage
// Get real-time order flow
const flow = await kit.skill('order-flow', 'analyze', {
symbol: 'BTC/USDT',
exchange: 'binance',
depth: 20,
period: '15m'
});
// Track whale movements
const whales = await kit.skill('order-flow', 'whales', {
minSize: 100000, // $100K minimum
symbols: ['BTC/USDT', 'ETH/USDT'],
window: '1h'
});
// Dark pool activity
const darkPool = await kit.skill('order-flow', 'dark-pool', {
symbol: 'AAPL',
source: 'finra'
});
// Get institutional positioning
const cot = await kit.skill('order-flow', 'cot', {
instrument: 'ES', // E-mini S&P 500
period: 'weekly'
});
Output Format
{
"symbol": "BTC/USDT",
"timestamp": "2026-02-11T21:30:00Z",
"orderFlow": {
"delta": 1250000,
"cumulativeDelta": 5680000,
"buyVolume": 3400000,
"sellVolume": 2150000,
"signal": "bullish_absorption"
},
"whaleActivity": {
"count": 3,
"netPosition": "long",
"largestOrder": {
"size": 450000,
"side": "buy",
"time": "21:28:45"
}
},
"microstructure": {
"spread": 0.01,
"depth": {
"bids": 2800000,
"asks": 2100000
},
"imbalance": 0.33,
"icebergDetected": false
},
"signal": {
"direction": "long",
"confidence": 0.78,
"reason": "Strong buy delta with whale accumulation"
}
}
What ships with it
2 files 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.
- 8d ago First seen · 127 lines · 0 tokens per session scan A 5ba7d251505d
order-flow is a skill published in the GitHub repository Signal-Execution-Labs/forex-trading-ai-agent (136 stars, last pushed 8d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 851 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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