corruption-check

Analyze chat logs to detect corruption patterns and build relationship graphs.

5|2|Updated Jan 24, 2026
One-click install
npx skills add https://github.com/s1366560/agi-demos --skill corruption-check
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: corruption-check
Source: https://github.com/s1366560/agi-demos/tree/main/.memstack/skills/corruption-check
Command: npx skills add https://github.com/s1366560/agi-demos --skill corruption-check

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires json, re, collections, pathlib, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill analyzes chat records using NLP to identify corruption clues and social relationship networks, detecting patterns like financial transactions, information leaks, power abuse, and collusion.

Core Features & Use Cases

  • Corruption Pattern Detection: Identifies financial transactions, information leaks, power abuse, and collusion.
  • Social Network Analysis: Builds relationship graphs and identifies key players.
  • Risk Assessment: Assigns risk levels to individuals and relationships.
  • Use Case: Analyze a large volume of internal communications to proactively identify potential corruption risks and understand the flow of influence and illicit activities within an organization.

Quick Start

Use the corruption-check skill to analyze the chat log file 'chat_records.jsonl'.

Frequently Asked Questions about corruption-check

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

FAQPage Schema
How do I analyze chat logs to detect corruption and fraud?

To detect corruption in chat logs, you need an NLP-based chat analysis tool that identifies financial transactions, information leaks, power abuse, and collusion patterns. This Skill processes chat records to extract these specific corruption clues automatically.

Can I build a social relationship network graph from internal communications?

Yes, building a social relationship network from internal communications is achieved through social network analysis. The tool processes chat logs to map relationship graphs and identify key players involved in the flow of influence.

How does NLP risk assessment work for identifying collusion patterns?

NLP risk assessment for collusion patterns works by analyzing chat logs to assign risk levels to individuals and their relationships. It evaluates communication contexts to flag potential power abuse and illicit information leaks.

What is the best way to process a large volume of chat records for compliance risks?

The best way to process large volumes of chat records for compliance risks is using an automated NLP Skill. It analyzes internal communications to proactively identify potential corruption risks and understand illicit activity flows.

Does this corruption detection tool require a specific chat log file format?

Yes, this corruption detection tool requires chat logs to be formatted as a JSONL file. You must provide a file named 'chat_records.jsonl' to run the NLP analysis and generate the risk assessment outputs.