Detect lie code through static and dynamic analysis of the codebase.
npx skills add https://github.com/stronghuni/FindLie --skill lie-deep
Please help me install this Agent Skill. Skill: lie-deep Source: https://github.com/stronghuni/FindLie/tree/main/lie-deep Command: npx skills add https://github.com/stronghuni/FindLie --skill lie-deep
Deep forensic analysis of codebases to detect Lie Code and verify code integrity before releases.
Run the lie-deep skill to perform a complete forensic scan of the current project.
High-intent search queries and answers about installing and using this skill.
Deep forensic codebase analysis is a comprehensive scanning process that reads all functions, validates data flows, and detects intent mismatches. You need it to verify code integrity and identify lie code before a release.
To detect dead code and duplicate implementations, you run a deep static scan across all project files. This process identifies unreachable code segments and redundant implementations to ensure codebase integrity.
Yes, you can audit promise fulfillment by tracking commitments across commits, PRs, and issues. This verifies that all tracked development commitments are met before declaring release readiness.
Static and dynamic analysis verifies test execution and integration checks by running tests and ensuring dependencies are respected. This confirms that integrations function correctly within the project.
Lie code refers to implementations with intent mismatches where code does not fulfill its stated purpose. Deep semantic analysis identifies it by reading every function and validating data flows against expected behavior.
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