broker api safety planner
by nowrich
Architects safety controls, risk validation, and kill switches for automated trading broker API integrations.
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See it in action
You say
We are integrating the Alpaca Trade API for a Python-based momentum strategy. We need a safety plan for market data and limit orders, including rate limits and a kill switch for daily loss.
Your agent does
Created broker-safety-plan.md and safety-config.example.yaml. The plan includes a 200ms exponential backoff for order retries, a client-side limit of 10 orders/sec, and a mandatory environment variable check for API secrets. The kill switch triggers at a 5% daily PnL drawdown.
What you get
About this skill
The problem
Connecting a trading bot to a live broker API without rigorous safety controls leads to catastrophic financial loss. Developers often overlook rate limits, idempotency in retries, or fail to implement reliable kill switches before deploying automated strategies.
What it does
- Generates a comprehensive safety architecture for broker API integrations.
- Defines client-side rate limiting tables and throttling policies for market data and order endpoints.
- Maps out pre-trade risk validation rules including position sizing, daily loss thresholds, and stale order detection.
- Designs fail-safe kill switches and recovery procedures for automated and manual intervention.
- Specifies secure secret handling and permission scoping to minimize the blast radius of compromised keys.
Frameworks & tools
Designed for any language or framework used in automated trading, including Python, C++, Go, and Rust. Compatible with major broker APIs like Interactive Brokers, Alpaca, TD Ameritrade, and Binance.
Why this beats prompting it yourself
It forces a systematic engineering approach to risk that standard prompts miss. It explicitly addresses technical edge cases like idempotency keys and secret redaction in logs that are critical for production-grade trading systems.
Use cases
- Architecting the safety layer for a new HFT or algorithmic trading bot.
- Auditing an existing execution engine for operational security and resiliency.
- Preparing documentation and risk controls for moving from paper trading to live markets.
- Standardizing secret management and logging across multiple trading strategies.
Known limitations
This skill provides design documentation and configuration templates. It does not write the functional trading logic or perform real-time monitoring of your live account.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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