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 tonylofgren · Claude Skill · ★ 104
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is aurora-smart-home safe to install? View the security audit →
Aurora Smart Home A Claude Code plugin for building smart home projects with verified reference data. Aurora routes your request to a specialist, validates every pin, entity, and address against schema-checked profiles, and refuses to ship code that does not pass. ⚠️ Use at your own risk. Aurora generates code and recommendations for educational purposes. Smart home projects involve mains electricity, batteries, and devices that control locks, water, heating, and gas. AI-generated configs can be plausible but wrong. The maintainers, contributors, and Anthropic accept no liability for property damage, personal injury, data loss, or any o
| Stars | 104 |
| Forks | 3 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 63.5240532582969/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-05 |
| Created | 2025-12-29 |
| Platforms | claude-code, python |
| Est. Tokens | ~23k |
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aurora-smart-home is Independent Claude Skills for the whole smart home: Home Assistant, ESPHome, Node-RED, custom integrations, dashboards, and fab-ready hardware design.. It is categorized as a Claude Skill with 104 GitHub stars.
aurora-smart-home is primarily written in Python. It covers topics such as anthropic, claude-code, claude-skill.
You can find installation instructions and usage details in the aurora-smart-home GitHub repository at github.com/tonylofgren/aurora-smart-home. The project has 104 stars and 3 forks, indicating an active community.
aurora-smart-home is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to aurora-smart-home on Agent Skills Hub include home-mind, hass-mcp, robsonfelix-hass-addons. 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: