Does it provide actionable feedback?

Yes, every detection includes the file path, the 'Lie' (intended behavior), the 'Truth' (actual behavior), code evidence, and the potential production impact.

How does the skill detect 'test theater'?

It identifies patterns where tests are designed to pass without real verification, such as mocking the object under test, using 'assert(true)', or achieving 100% coverage by only testing trivial paths.

What are the red flags this skill looks for?

Common red flags include empty catch blocks, 'TODO' or 'FIXME' tags in critical paths, async functions without awaits, and suspiciously short functions for complex tasks.

What does 'LARP' mean in programming?

In this context, LARP (Live Action Role Play) refers to code that pretends to be functional but is actually a hollow implementation, such as a function that always returns true regardless of input.

LARP & Fake Code Detector

Name: LARP & Fake Code Detector
Author: JSai23

byJSai23

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安全与测试

Detects performative code, test theater, and misleading implementation patterns to ensure codebase integrity and functional reliability.

The Verify-LARP-A skill identifies 'code that lies'—implementations that appear correct on the surface but lack functional substance. By scanning for red flags like hardcoded stubs, swallowed errors, and deceptive test assertions (test theater), it helps developers and teams surface hidden technical debt and performative logic. Whether you are auditing a legacy codebase or conducting a rigorous code review, this skill provides a structured analysis that differentiates between what the code pretends to do and what actually happens, categorizing issues by severity from suggestions to critical production risks.

主要功能

01Categorizes findings into Critical, Warning, and Suggestion severity levels.

021 GitHub stars

03Provides structured reporting detailing the 'Lie' versus the 'Truth' with code evidence.

04Detects 'test theater' including assertions that test nothing or skipped tests.

05Identifies performative implementations like hardcoded stubs and empty catch blocks.

06Flags misleading patterns where function names or comments contradict actual logic.

使用场景

01Enhancing code reviews by catching placeholder logic and swallowed exceptions before they reach production.

02Automating the detection of deceptive test suites that inflate coverage without verifying behavior.

03Auditing legacy repositories to find unfinished logic or 'temporary' hacks that were never fixed.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jsai23/claude-tooling verify-larp-a

For use in Claude.ai and ChatGPT

Download Skill