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marketing-rule-evidence

Generate Marketing Rule evidence packs for SEC-registered investment-adviser advertising.

Updated May 9, 2026
Search Tags:#financial regulation#investment adviser#evidence pack#marketing rule#SEC compliance
One-click install
npx skills add https://github.com/anotb/second-line-financial-services --skill marketing-rule-evidence
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: marketing-rule-evidence
Source: https://github.com/anotb/second-line-financial-services/tree/main/plugins/sector-plugins/capital-markets-asset-management-compliance/skills/marketing-rule-evidence
Command: npx skills add https://github.com/anotb/second-line-financial-services --skill marketing-rule-evidence

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, yaml, json, pandas, requests, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the creation of detailed Marketing Rule evidence packs, reducing the time and effort required for compliance reviews and audits.

Core Features & Use Cases

  • Evidence Pack Creation: Build comprehensive evidence packs for SEC-registered investment-adviser advertising.
  • Compliance Review: Facilitate compliance reviews and audits with standardized checklists and matrices.
  • Use Case: For an investment adviser, this Skill can help generate evidence packs for advertisements like pitch decks, fact sheets, or websites before dissemination, ensuring compliance with SEC Rule 206(4)-1.

Quick Start

Use the marketing-rule-evidence skill to generate an evidence pack for a new advertisement titled 'pitch-deck-q3.pdf'.

Frequently Asked Questions about marketing-rule-evidence

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

FAQPage Schema
How do I generate a Marketing Rule evidence pack for SEC investment-adviser advertising?▼

To generate a Marketing Rule evidence pack for SEC investment-adviser advertising, use this Skill to analyze pitch decks and fact sheets against Rule 206(4)-1. It automates statement classification, disclosure checks, and substantiation to produce a structured compliance matrix for audit review.

What is an SEC Rule 206(4)-1 evidence pack and when do I need it?▼

An SEC Rule 206(4)-1 evidence pack is a structured compliance record for investment-adviser advertising. You need this evidence pack before disseminating advertisements like pitch decks or websites to ensure regulatory compliance and prepare for compliance reviews and audits.

How do I automate disclosure requirements and records retention checks for investment-adviser marketing?▼

Automate disclosure requirements and records retention checks for investment-adviser marketing by running this Skill on advertisement files. It uses internal and external data sources to evaluate regulatory frameworks and output standardized matrices for compliance review.

Can I use Python and pandas to build SEC compliance matrices for advertisement review?▼

Yes, you can use Python and pandas to build SEC compliance matrices for advertisement review. This Skill leverages Python, pandas, and YAML dependencies to process structured data and generate detailed Rule 206(4)-1 substantiation evidence packs.

What is the best way to ensure fact sheets and pitch decks meet SEC Marketing Rule compliance?▼

The best way to ensure fact sheets and pitch decks meet SEC Marketing Rule compliance is to generate a comprehensive evidence pack before dissemination. This process systematically covers statement classification, disclosure requirements, and substantiation for audit readiness.

What are the limitations of using automated tools for investment-adviser advertising compliance?▼

Automated investment-adviser advertising compliance tools depend on the accuracy of internal and external data sources used for regulatory framework analysis. While they streamline evidence pack creation for Rule 206(4)-1, human review is still required to validate final compliance procedures and audit outcomes.

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