AISuperDomain: Aila(AI超元域): The premier AI integration tool for Windows, macOS, and Android

by win4r · Agent Tool · ★ 2.0k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 62/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

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Quick Facts

Stars1,995
Forks323
LanguageC#
CategoryAgent Tool
LicenseApache-2.0
Quality Score62/100
Open Issues36
Last Updated2026-11-07
Created2023-05-09
Platformsclaude-code, dotnet, gemini
Est. Tokens~19k

About AISuperDomain

Engage with Every Leading AI at Once, Uncover the Ultimate Insights English Français 🔥视频演示:https://b23.tv/B1OXY2V Aila Desktop Application Welcome to the Aila Desktop Application GitHub repository! This innovative software integrates multiple leading AI models into a single desktop application, providing users with a powerful platform for generating diverse responses to their inquiries.

Compatible Skills

These tools work well together with AISuperDomain for enhanced workflows:

  • TagForge — semantic(0.22)+complementary+rare_topics+same_lang+shared_platform (47%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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