What problem does it solve?
Autonomous trading agents with transaction signing authority face extreme risk of irreversible asset loss from prompt injection, malicious external data, flawed execution paths, or improper key management, which standard LLM security patterns do not address.
Core Features & Use Cases
- Prompt Injection Mitigation: Sanitize all external on-chain data, token labels, and webhook inputs before they enter the agent's execution context to block injection attacks that could trigger unauthorized transactions.
- Execution Guardrails: Enforce hard per-transaction and daily spend limits, require mandatory pre-send transaction simulation with minimum output checks, and implement circuit breakers that automatically halt trading on consecutive losses or excessive hourly drawdown.
- Secure Wallet & MEV Protection: Isolate agent wallet keys from primary treasury wallets, use private RPCs for MEV resistance, and enforce transaction deadlines to prevent front-running and unauthorized fund access.
Use case: A DeFi yield farming agent that automatically executes token swaps can use these patterns to avoid losing funds to malicious token metadata or slippage attacks.
Quick Start
Use the llm-trading-agent-security skill to audit your autonomous trading agent's transaction execution flow and implement mandatory spend limits, pre-send simulation, and wallet isolation controls.
