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find-lie

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Expose lies in AI-generated code quickly.

Software Engineering#static-analysis#ai-generated-code#pattern-matching#code-audit#semantic-analysis#code-forensics#lie-detection
Authorstronghuni
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Detect lies in AI-generated codebases — including mock data disguised as real data, incomplete implementations, deceptive returns, intent mismatches, disconnected integrations, fake tests, duplicate code, redundant files, and dead code. This Skill empowers engineers to audit generated code for authenticity and correctness across code generation sessions.

Core Features & Use Cases

  • Pattern-based lie detection: Performs static scans to uncover common lie patterns such as mock data, no-ops, and deceptive returns.
  • Semantic verification: Analyzes function intent against expected operations to catch intent mismatches.
  • Comprehensive reporting: Collects evidence with precise locations to drive fixes in changed files.
  • Use Case: Validate agent-generated code or audit codebases after large generation sessions to surface hidden lies.
  • Use Case: Integrate during code reviews to automatically flag suspicious patterns before merging.

Quick Start

Run the FindLie scan on your repository to detect and surface lie code in AI-generated code.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: find-lie
Download link: https://github.com/stronghuni/FindLie/archive/main.zip#find-lie

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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