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 alert-systemgit 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/alert-system)<a href="https://agentmods.dev/skills/signal-execution-labs/forex-trading-ai-agent/alert-system"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/alert-system/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/alert-system"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/alert-system.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 | $0.00026 | $0.01861 |
| Opus 5.5 | $0.00010 | $0.00744 |
| Sonnet 5.5 | $0.00005 | $0.00372 |
| Haiku 4.5 | $0.00003 | $0.00186 |
Grade A, and why
alert-system 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 1mo 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:
- alert-system — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Alert System
Real-time alerts for price movements, technical indicators, and market events.
Overview
- Price Alerts - Trigger when price crosses threshold
- Volume Alerts - Unusual volume detection
- Indicator Alerts - RSI overbought/oversold, MACD crossovers
- News Alerts - Breaking crypto news
Alert Storage
Alerts stored in ~/.kit/alerts.json:
{
"alerts": [
{
"id": "alert_001",
"type": "price",
"symbol": "BTC/USDT",
"condition": "above",
"value": 50000,
"active": true,
"notify": ["telegram", "sound"]
}
]
}
Commands
Price Alert - Above
python3 -c "
import ccxt
import time
symbol = 'BTC/USDT'
target = 50000
exchange = ccxt.binance()
print(f'⏳ Watching {symbol} for price above \${target:,}...')
while True:
ticker = exchange.fetch_ticker(symbol)
price = ticker['last']
if price >= target:
print(f'🚨 ALERT: {symbol} is now \${price:,.2f} (above \${target:,})')
break
print(f'Current: \${price:,.2f}', end='\\r')
time.sleep(10)
"
Price Alert - Below
python3 -c "
import ccxt
import time
symbol = 'BTC/USDT'
target = 45000
exchange = ccxt.binance()
print(f'⏳ Watching {symbol} for price below \${target:,}...')
while True:
ticker = exchange.fetch_ticker(symbol)
price = ticker['last']
if price <= target:
print(f'🚨 ALERT: {symbol} dropped to \${price:,.2f} (below \${target:,})')
break
time.sleep(10)
"
Percent Change Alert
python3 -c "
import ccxt
import time
symbol = 'BTC/USDT'
threshold_pct = 5 # 5% move
exchange = ccxt.binance()
ticker = exchange.fetch_ticker(symbol)
start_price = ticker['last']
print(f'⏳ Watching {symbol} for {threshold_pct}% move from \${start_price:,.2f}...')
while True:
ticker = exchange.fetch_ticker(symbol)
price = ticker['last']
change_pct = ((price - start_price) / start_price) * 100
if abs(change_pct) >= threshold_pct:
direction = '📈' if change_pct > 0 else '📉'
print(f'🚨 {direction} {symbol} moved {change_pct:+.2f}% to \${price:,.2f}')
break
time.sleep(30)
"
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.
- 1mo ago First seen · 272 lines · 26 tokens per session scan A 7b14829ea6e1
alert-system is a skill published in the GitHub repository Signal-Execution-Labs/forex-trading-ai-agent (179 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 1,861 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
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