anti-corruption-investigation

Name: anti-corruption-investigation
Availability: InStock
Author: s1366560

Analyze chat logs to detect corruption patterns and generate evidence-backed reports.

5|2|Updated Jan 24, 2026

Search Tags:#investigation #compliance #corruption #communication analysis #fraud detection #social network analysis

Ready to run

npx skills add https://github.com/s1366560/agi-demos --skill anti-corruption-investigation

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: anti-corruption-investigation
Source: https://github.com/s1366560/agi-demos/tree/main/.memstack/skills/anti-corruption-investigation
Command: npx skills add https://github.com/s1366560/agi-demos --skill anti-corruption-investigation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires networkx, numpy, pandas, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the complex and time-consuming process of analyzing large volumes of chat logs and communications to detect patterns of corruption, fraud, and illicit relationships.

Core Features & Use Cases

Advanced Pattern Detection: Identifies financial corruption, power abuse, collusion, evidence destruction, and enterprise fraud across Chinese and English text.
Social Network Analysis: Maps relationships, identifies key players, intermediaries, and communities within communication networks.
Large-Scale Data Processing: Efficiently handles millions of messages to provide human-friendly, evidence-backed conclusions.
Use Case: A compliance officer can use this Skill to analyze internal communications for signs of bribery or insider trading, receiving a risk-assessed report with specific evidence.

Quick Start

Analyze the provided chat logs to detect suspicious patterns and generate a comprehensive investigation report.

Frequently Asked Questions about anti-corruption-investigation

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

FAQPage Schema

How do I analyze chat logs to detect corruption and financial misconduct?▼

Social network analysis maps relationships within communication data to identify key individuals, intermediaries, and hidden communities involved in sophisticated corruption patterns and illicit networks.

What is the best way to identify collusion and enterprise fraud in internal communications?▼

The best way to identify enterprise fraud is by applying pattern detection algorithms to internal communications, which recognizes sophisticated collusion dynamics and generates risk-assessed reports with specific evidence.

Can I process large-scale communication data for fraud detection across multiple languages?▼

Yes, you can process large-scale communication data for fraud detection across Chinese and English text, efficiently handling millions of messages to provide human-friendly, evidence-backed conclusions.

Does this communication analysis tool require pandas and networkx for compliance investigations?▼

Yes, conducting compliance investigations with this tool requires networkx and pandas to perform social network analysis, map relationships, and process large datasets for corruption detection.

How do social network analysis and communication analysis work together for fraud detection?▼