by sharith45 · Agent Tool · ★ 67
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is atlas-Assistant safe to install? View the security audit →
Atlas-Assistant Tu asistente personal. En tu ordenador. Sin depender de la nube de nadie. Habla contigo por voz, atiende tu WhatsApp — mensajes y llamadas de teléfono —, controla tu ordenador, programa lo que necesites y recuerda lo que importa. No hace falta saber programar. Se descomprime y se abre. -0078d4) Instalación · Qué sabe hacer · Qué se siente Por qué ATLAS Casi todos los asistentes son una caja de texto en una web. Tú escribes, ellos contestan, y ahí se acaba. ATLAS no. Vive en tu ordenador, tiene tus archivos delante, tu WhatsApp conectado y memoria de lo que habéis hablado. Le hablas y te responde con voz. Le pides algo y lo hace — no te explica cómo hacerlo. Y cuando no estás en casa, sigue trabajando: le escribes por WhatsApp desde el móvil y te devuelve el trabajo hecho. En el día a día
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 →
| Stars | 67 |
| Forks | 14 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 48.0388668479509/100 |
| Last Updated | 2026-09-04 |
| Created | 2026-08-30 |
| Platforms | browser, claude-code, python |
| Est. Tokens | ~13k |
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atlas-Assistant is Tu asistente personal, directamente en tu ordenador. Habla contigo por voz, gestiona WhatsApp, atiende llamadas, consulta la web y recuerda lo importante. Una inteligencia artificial diseñada para tra. It is categorized as a Agent Tool with 67 GitHub stars.
atlas-Assistant is primarily written in Python. It covers topics such as agent, agent-skill, agent-skills.
You can find installation instructions and usage details in the atlas-Assistant GitHub repository at github.com/sharith45/atlas-Assistant. The project has 67 stars and 14 forks, indicating an active community.
The top alternatives to atlas-Assistant on Agent Skills Hub include skills, clawos, oreilly-ai-agents. 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: