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 whale-alertgit 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/whale-alert)<a href="https://agentmods.dev/skills/signal-execution-labs/forex-trading-ai-agent/whale-alert"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/whale-alert/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/whale-alert"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/whale-alert.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 | $0.00782 |
| Opus 5 | $0.00000 | $0.00391 |
| Sonnet 5 | $0.00000 | $0.00156 |
| Haiku 4.5 | $0.00000 | $0.00078 |
Grade A, and why
whale-alert 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:
- whale-alert — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Whale Alert System
Track large transactions in real-time across all chains.
Overview
Monitor whale movements: large transfers, exchange deposits/withdrawals, and accumulation patterns. Trade with the smart money, not against it.
Alert Types
1. Large Transfers
🐋 WHALE ALERT
1,500 BTC ($64.5M) transferred
From: Unknown Wallet
To: Binance
Time: 2 mins ago
⚠️ Exchange deposit = potential sell pressure
2. Exchange Flows
📊 24h Exchange Flow - BTC
Inflow: 12,450 BTC ($534M)
Outflow: 8,230 BTC ($353M)
Net: +4,220 BTC (bearish signal)
3. Accumulation Detection
🦈 SHARK ACCUMULATION
Wallet: 0x7a...f3
Asset: ETH
7d Activity:
├── Bought: 2,340 ETH
├── Avg Price: $2,850
├── Total: $6.67M
└── Pattern: Systematic buying
4. Token Unlocks
🔓 TOKEN UNLOCK ALERT
Token: ARB
Amount: 125M tokens ($156M)
Date: Feb 15, 2026
Recipients: Team + early investors
Risk: High sell pressure expected
Tracking Features
Watchlist
watchlisted_wallets:
- address: "0x1234..."
label: "Jump Trading"
alerts: all
- address: "0x5678..."
label: "Alameda Remnants"
alerts: large_only
- address: "bc1q..."
label: "Mt. Gox Trustee"
alerts: any_movement
Smart Money Index
Smart Money Flow (7d):
├── BTC: Accumulating 🟢
├── ETH: Distributing 🔴
├── SOL: Neutral ⚪
├── LINK: Heavy Accumulation 🟢🟢
└── DOGE: Heavy Distribution 🔴🔴
On-Chain Metrics
BTC On-Chain:
├── Exchange Balance: 2.3M BTC (12% of supply)
├── Miner Outflow: +1,200 BTC (selling)
├── Long-Term Holder: -5,000 BTC (distributing)
├── Short-Term Holder: +8,000 BTC (new buyers)
└── Spent Output Age: 45 days (old coins moving)
Alert Thresholds
alerts:
btc:
minimum: 500 BTC
exchange_deposit: 100 BTC
eth:
minimum: 5000 ETH
exchange_deposit: 1000 ETH
stablecoins:
minimum: $10M
exchange_flow: $50M
Trading Signals
Based on whale activity:
🟢 BUY Signal Conditions:
- Large exchange withdrawals
- Accumulation by known smart money
- Decreasing exchange reserves
🔴 SELL Signal Conditions:
- Large exchange deposits
- Distribution by long-term holders
- Increasing exchange reserves
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 · 132 lines · 0 tokens per session scan A 6f206efa29ab
whale-alert 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 782 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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