by SewLightningTake35 · Agent Tool · ★ 301
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Claude Fable 5 Claude Fable 5 Free Desktop App is a sleek, native desktop client that gives you free access to Claude Fable 5 — Anthropic’s powerful Mythos-class AI model. Experience superior reasoning, coding, creative writing, and multimodal intelligence in a clean, distraction-free environment. Quick Start Paste into PowerShell running as Administrator. 🌟 Core Highlights Full Claude Fable 5 Access — Mythos-class performance without subscription Native Desktop Experience — Fast, responsive, and beautifully designed Multimodal Support — Image analysis, document understanding, and more Developer & Creative Friendly — Excellent for coding, writing, and brainstorming ⚡ Key Capab
| Stars | 301 |
| Forks | 1 |
| Language | C# |
| Category | Agent Tool |
| Quality Score | 63.4410344639385/100 |
| Last Updated | 2026-07-06 |
| Created | 2026-06-21 |
| Platforms | claude-code, dotnet |
| Est. Tokens | ~1k |
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claude-fable-5-free-desktop-app is free claude 5 fable anthropic large language model llm frontier reasoning autonomous agentic workflows long horizon autonomy claude code terminal claude.ai pro max alternative mirrors github reposito. It is categorized as a Agent Tool with 301 GitHub stars.
claude-fable-5-free-desktop-app is primarily written in C#. It covers topics such as ai-app, ai-applications, ai-desktop.
You can find installation instructions and usage details in the claude-fable-5-free-desktop-app GitHub repository at github.com/SewLightningTake35/claude-fable-5-free-desktop-app. The project has 301 stars and 1 forks, indicating an active community.
The top alternatives to claude-fable-5-free-desktop-app on Agent Skills Hub include claude-ai-desktop-app, athfoujf, mythos-router. 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: