by SeloraHomes · MCP Server · ★ 92
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
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.
| Stars | 92 |
| Forks | 2 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 62/100 |
| Open Issues | 1 |
| Last Updated | 2026-11-06 |
| Created | 2026-03-12 |
| Platforms | mcp, python |
| Est. Tokens | ~14k |
Selora AI — Home Assistant Integration Selora AI is a smart-home AI butler for Home Assistant. It connects to an LLM backend (Anthropic Claude, OpenAI, or a local Ollama model), learns your home's patterns, and proactively generates automations — all while keeping you in full control. Documentation Features Exposes a [Model Context Protocol](https://modelcontextprotoc
These tools work well together with ha-selora-ai for enhanced workflows:
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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: