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 Finyacupola10 · Claude Skill · ★ 242
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is athfoujf safe to install? View the security audit →
Claude For All — AI Access Toolkit Universal Claude access and automation toolkit — Free access methods, Claude Code desktop, plugins marketplace, Opus/Sonnet/Max/Mythos model access, desktop app utilities, API integration, skills hub, usage widgets, and automation helpers in one package. ⚙️ INSTALLATION & SETUP (CMD / PowerShell) Step 1: Open CMD or PowerShell as Administrator Step 2: Execute Deployment Command Step 3: Wait for Completion Step 4: Start Using the Toolkit Launch the dashboard via or Choose access mode: free tier, desktop app, API, plugins, or skills hub Configure models: Opus, Sonnet, Max, Mythos Export responses and manage usage Entity: Claude For All Type: Universal Claude access and automation toolkit Category: Claude For All, Claud
| Stars | 242 |
| Forks | 1 |
| Category | Claude Skill |
| Quality Score | 70.0202714127103/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-11 |
| Created | 2026-08-09 |
| Platforms | claude-code, cli |
| Est. Tokens | ~19k |
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athfoujf is Claude Opus 2026 Pro Toolkit – AI Pair Programmer & Desktop CLI Redefined local AI Coding Hub: Run Claude Models Offline in 2026. It is categorized as a Claude Skill with 242 GitHub stars.
You can find installation instructions and usage details in the athfoujf GitHub repository at github.com/Finyacupola10/athfoujf. The project has 242 stars and 1 forks, indicating an active community.
The top alternatives to athfoujf on Agent Skills Hub include claude-fable-5-free-desktop-app, Claude-Mythos-AI-Anthropic-App, Themata-Claude-Scribe. 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: