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related-party-identification

Identify related parties in financial audits from business registration data.

113|26|Updated May 10, 2026
Search Tags:#audit#data analysis#financial analysis#risk assessment#related parties
One-click install
npx skills add https://github.com/nigo81/nigo-skills --skill related-party-identification
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: related-party-identification
Source: https://github.com/nigo81/nigo-skills/tree/main/related-party-identification
Command: npx skills add https://github.com/nigo81/nigo-skills --skill related-party-identification

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, pandas, openpyxl, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the identification of hidden related parties in audit processes, reducing the risk of missing important financial relationships.

Core Features & Use Cases

  • Automated Identification: Automatically identifies potential related parties based on various criteria such as address, phone number, email, and ownership.
  • Comprehensive Analysis: Analyzes data from multiple dimensions including company information, shareholder details, and historical records.
  • Use Case: For auditors reviewing financial statements, this Skill can automatically identify related parties that may not be disclosed by the company, enhancing the thoroughness of the audit process.

Quick Start

To identify related parties for a specific company, run the skill with the company name as input: related-party-identification "Company Name".

Frequently Asked Questions about related-party-identification

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

FAQPage Schema
How do I automate the identification of hidden related parties in financial audits?▼

Automate related party identification by analyzing business registration data across multiple dimensions like address, phone, email, and ownership to detect undisclosed financial relationships.

What data do I need for related party risk assessment during an audit?▼

Related party risk assessment requires a comprehensive database of business registration information, including company details, shareholder records, and historical data for thorough analysis.

Can I use pandas to detect related party relationships from business registration data?▼

Yes, the process uses python and pandas to analyze business registration data, identifying potential related parties based on shared addresses, phone numbers, emails, and ownership structures.

Does this related party detection approach work with Excel data?▼

Yes, the workflow supports Excel formats through the openpyxl dependency, allowing auditors to process business registration data exported as spreadsheets for related party analysis.

What is the best way to find undisclosed company relationships for audit workflows?▼

The best way to find undisclosed relationships is running automated analysis on business registration data, checking matching criteria across addresses, contact details, and shareholder ownership.

What are the limitations of automating related party identification?▼

Limitations include the dependency on accessing a comprehensive business registration database; incomplete or outdated source data will directly impact the accuracy of hidden related party detection.

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