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llm-trading-agent-security

Configures security guards for autonomous trading agents to prevent prompt injections and enforce spend limits before on-chain action.

4|7|Updated Apr 9, 2026
Search Tags:#security#risk-management#prompt-injection#onchain#mev-protection#trading-agent#wallet-isolation
One-click install
npx skills add https://github.com/arbisoft/ai-skillforge --skill llm-trading-agent-security-arbisoft
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: llm-trading-agent-security
Source: https://github.com/arbisoft/ai-skillforge/tree/main/Claude/skills/llm-trading-agent-security
Command: npx skills add https://github.com/arbisoft/ai-skillforge --skill llm-trading-agent-security-arbisoft

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Security patterns for autonomous trading agents with wallet or transaction authority. Covers prompt injection, spend limits, pre-send simulation, circuit breakers, MEV protection, and key handling.

Core Features & Use Cases

  • Prompt hygiene and prompt injection protection for on-chain decision making
  • Independent spend policy enforcement including per-transaction and daily limits
  • Pre-send transaction simulation to verify outcomes before execution
  • Circuit breakers and fail-safes to halt risky activity
  • Wallet isolation and secure key management practices
  • MEV protection and safe ordering controls
  • Auditable decision-logging and compliance-oriented guardrails

Quick Start

Configure security guards for an autonomous trading agent to prevent prompt injections and enforce spend limits before any on-chain action.

Frequently Asked Questions about llm-trading-agent-security

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I prevent prompt injection attacks on autonomous trading agents?▼

Preventing prompt injection on autonomous trading agents requires applying prompt hygiene patterns that sanitize and validate on-chain decision inputs before execution. This isolation stops malicious instructions from triggering unauthorized transactions.

What is the best way to enforce spend limits on an autonomous trading wallet?▼

The best way to enforce spend limits on an autonomous trading wallet is through independent spend policy enforcement. This applies strict per-transaction and daily volume caps that cannot be overridden by the agent's own logic.

How does pre-send transaction simulation protect on-chain assets?▼

Pre-send transaction simulation protects on-chain assets by modeling the transaction outcome against the current blockchain state before signing. This verifies expected results and reverts operations that trigger unexpected state changes or failures.

Can I use circuit breakers to halt risky trading agent activity?▼

Yes, you can use circuit breakers to halt risky trading agent activity. They act as automated fail-safes that stop the agent from signing or submitting transactions when predefined risk thresholds or anomalous conditions are detected.

Do I need wallet isolation and MEV protection for secure trading agent deployment?▼

You need wallet isolation and MEV protection for secure trading agent deployment to prevent asset loss and transaction exploitation. Wallet isolation separates signing authority, while MEV protection ensures safe transaction ordering against front-running attacks.

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