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Kushtrvedi
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vibe-check

Audit Python, TypeScript, and JavaScript code for vibe coding patterns and produce a scored Markdown report.

Updated Mar 3, 2026
Search Tags:#linting#security#discord#code-quality#analyze#ai-audit#vibe-check
One-click install
npx skills add https://github.com/Kushtrvedi/openclaw-standard --skill vibe-check-kushtrvedi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: vibe-check
Source: https://github.com/Kushtrvedi/openclaw-standard/tree/main/skills/vibe-check
Command: npx skills add https://github.com/Kushtrvedi/openclaw-standard --skill vibe-check-kushtrvedi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Detects and scores AI-associated "vibe coding" patterns in codebases to help teams enforce robust code reviews and security checks.

Core Features & Use Cases

  • LLM-powered code quality and security audits for Python, TypeScript, and JavaScript.
  • Generates a comprehensive Markdown report with per-file scores, top findings, and optional fix suggestions.
  • Discord v2 delivery-ready integration for rapid feedback in chat channels.

Quick Start

Run vibe-check on a target directory or file to produce a full report.

Frequently Asked Questions about vibe-check

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

FAQPage Schema
How do I audit my codebase for AI-generated code quality issues?▼

You can audit code for AI-generated patterns by running an analysis on files, directories, or diffs. The tool scans Python, TypeScript, and JavaScript code to detect AI-associated coding patterns and generates a comprehensive Markdown report with per-file scores and findings.

What are vibe coding sins and how do they affect code security?▼

Vibe coding sins are AI-associated patterns in a codebase that compromise code quality and security. Detecting them involves analyzing code to surface these patterns, helping teams enforce robust code reviews and security checks during development.

Can I run code quality analysis on a git diff for Python and TypeScript?▼

Yes, you can analyze git diffs alongside files and directories for Python, TypeScript, and JavaScript. The analysis runs either LLM-powered detection or heuristic fallback to identify code quality issues and outputs a scored report.

How do I send automated code review reports to a Discord channel?▼

You can send automated code review reports to Discord using the tool's Discord v2 delivery-ready integration. After analyzing your code targets and generating the Markdown report, the integration allows rapid feedback delivery directly in chat channels.

What is the best way to integrate LLM-powered code analysis into OpenClaw workflows?▼

The best way to integrate LLM-powered code analysis into OpenClaw workflows is through the exposed command surface via SKILL.md and supporting scripts. This enables automated auditing of code quality and security with Markdown report outputs.

Do I need an LLM to run code quality audits or is there a fallback mechanism?▼

You do not strictly need an LLM to run code quality audits. The tool runs either LLM-powered analysis or a heuristic fallback to evaluate code, ensuring audits can still produce scored reports without LLM availability.

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