No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by hyperb1iss · MCP Server · ★ 89
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is lucidity-mcp safe to install? View the security audit →
✨ Lucidity MCP 🔍 Clarity in Code, Confidence in Creation Lucidity is a Model Context Protocol (MCP) server designed to enhance the quality of AI-generated code through intelligent, prompt-based analysis. By providing structured guidance to AI coding assistants, Lucidity helps identify and address common quality issues, resulting in cleaner, more maintainable, and more robust code. Before you commit, just ask Lucidity to analyze the changes instead of vibe-coding yourself into a nightmare hellscape! 😱 💥 🚫 💫 Features 🔮 Comprehensive Issue Detection - Covers 10 critical quality dimensions from complexity to security vulnerabilities 🔄 Contextual Analysis - Compares changes against original code to identify unintended modifications 🌐 Language Agnostic - Works with any programming language the
| Stars | 89 |
| Forks | 24 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 73.40226858758/100 |
| Open Issues | 6 |
| Last Updated | 2025-03-19 |
| Created | 2025-03-19 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~7k |
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lucidity-mcp is AI-powered code quality analysis using MCP to help AI assistants review code more effectively. Analyze git changes for complexity, security issues, and more through structured prompts.. It is categorized as a MCP Server with 89 GitHub stars.
lucidity-mcp is primarily written in Python. It covers topics such as ai-tools, claude, code-analysis.
You can find installation instructions and usage details in the lucidity-mcp GitHub repository at github.com/hyperb1iss/lucidity-mcp. The project has 89 stars and 24 forks, indicating an active community.
lucidity-mcp is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to lucidity-mcp on Agent Skills Hub include Gito, fossil-mcp, arbor. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: