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 wallquailrespect · MCP Server · ★ 86
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-ai-ultimate safe to install? View the security audit →
🚀 Claude AI Ultimate 📝 Description All-in-one Claude AI Ultimate AI solution featuring text, image, and multimodal generation with customizable parameters. 📥 Downloads & Links 📖 Documentation: Visit Documentation 💾 Download Latest Release: Download Release ⚡ Key Features Multi-Modal Support: Process and generate text, images, audio, and video in one platform. Prompt Engineering: Built-in prompt library, templates, and optimization suggestions. Batch Generation: Queue multiple tasks and process large datasets efficiently. 🚀 Quick Setup Guide Get the latest release from the download section above. Unpack the downloaded archive to a folder of your choice. Run the setup file and follow the on-screen instructions. ⚠️ Disclaimer [!CAUTION] This repository is provided for educational and utility purposes only. Use at your own discretion.
| Stars | 86 |
| Forks | 0 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 41.1387524392779/100 |
| Last Updated | 2026-08-17 |
| Created | 2026-07-29 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~1k |
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claude-ai-ultimate is Claude AI Ultimate. It is categorized as a MCP Server with 86 GitHub stars.
claude-ai-ultimate is primarily written in TypeScript. It covers topics such as anthropic-leak, claude-4-6-opus, claude-4-sonnet.
You can find installation instructions and usage details in the claude-ai-ultimate GitHub repository at github.com/wallquailrespect/claude-ai-ultimate. The project has 86 stars and 0 forks, indicating an active community.
The top alternatives to claude-ai-ultimate on Agent Skills Hub include athfoujf, mythos-router, Claude-Mythos-AI-Anthropic-App. 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: