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 mcpware · MCP Server · ★ 283
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-code-organizer safe to install? View the security audit →
Cross-Code Organizer (CCO) Formerly Claude Code Organizer — the first cross-harness config organizer for AI coding tools. AI agents: read AIINDEX.md first. It is the navigation manifest for this codebase — where to find every module, how they connect, and where to look before making any claim about the code. [ claude plugin marketplace
📜 An MCP server for conversation history search and retrieval in Claude Code
CCHub - Claude Code 生态管理平台 | Claude Code Ecosystem Management Platform (MCP, Skills, Hooks, Config)
Claude Code CLI integration for Unreal Engine 5.7 - Get AI coding assistance with built-in UE5.7 documentation
MCP Fusion - The framework for AI-native MCP servers.
Claude Code 的記憶系統 | A memory system built with hooks + markdown. Zero dependencies.
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claude-code-organizer is Dashboard to manage Claude Code memories, configs, and MCP servers — security scanner for tool poisoning, context token budget tracker, duplicate cleanup, scope management. npx @mcpware/claude-code-or. It is categorized as a MCP Server with 283 GitHub stars.
claude-code-organizer is primarily written in JavaScript. It covers topics such as ai-agent, ai-tools, anthropic.
You can find installation instructions and usage details in the claude-code-organizer GitHub repository at github.com/mcpware/claude-code-organizer. The project has 283 stars and 25 forks, indicating an active community.
claude-code-organizer is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-code-organizer on Agent Skills Hub include claude-emporium, claude-historian-mcp, cchub. 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: