legal-compliance-system

Filter investment-advice prompts and append disclaimers for legal compliance.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/sihu-dev/forge-labs --skill legal-compliance-system
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: legal-compliance-system
Source: https://github.com/sihu-dev/forge-labs/tree/main/apps/hephaitos/.claude/skills/legal-compliance-system
Command: npx skills add https://github.com/sihu-dev/forge-labs --skill legal-compliance-system

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enforces legal compliance in AI responses, blocking prohibited investment advice and automatically appending disclaimers.

Core Features & Use Cases

  • Forbidden Pattern Filtering: Blocks investment ad/promo phrases and unverified claims.
  • Automatic Disclaimer: Always appends a risk/disclaimer to AI outputs.
  • Use Case: Ensure AI-generated strategy prompts comply with regulatory constraints.

Quick Start

Use the legal-compliance-system to validate and sanitize AI responses before presenting them to users.

Frequently Asked Questions about legal-compliance-system

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

FAQPage Schema
How do I block prohibited investment advice in AI responses?

Legal compliance systems filter investment prompts using regex-based forbidden-pattern checks to block prohibited solicitations and unverified claims before they reach users. This prevents regulatory violations in AI-generated content.

Can I automatically add disclaimers to investment-related AI outputs?

Yes, legal compliance filtering automatically appends risk disclaimers to AI responses, ensuring every investment-related output includes required compliance language without manual intervention.

What's the best way to enforce legal compliance on trading platform chatbots?

Apply regex-based pattern filtering with risk assessment scoring to validate prompts against defined risk levels, blocking prohibited content and injecting disclaimers before responses are presented to users.

How does risk assessment work in legal compliance filtering?

Risk assessment scores AI responses against defined risk levels using input schemas and API endpoints, classifying content severity to determine whether to block, warn, or allow investment-related outputs.

Do I need additional tools to sanitize AI responses for regulatory compliance?

Legal compliance filtering handles pattern detection, disclaimer insertion, and risk scoring in a single system. You apply it as a validation layer before presenting AI outputs, with no external dependencies required.