ha-text-ai — security grade SAFE, quality 65/100

Security audit verdict: SAFE · quality 65/100

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 smkrv · Claude Skill · ★ 80

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

🔒 Is ha-text-ai safe to install? View the security audit →

About ha-text-ai

🤖 HA Text AI for Home Assistant Advanced AI Integration for Home Assistant with LLM multi-provider support <

aianthropicanthropic-claudeartificial-intelligencedeepseekdeepseek-apihacshacs-defaulthacs-integraitonhacs-integration

Quick Facts

Stars80
Forks7
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score65.077388773354/100
Open Issues1
Last Updated2026-08-28
Created2024-11-14
Platformsclaude-code, python
Est. Tokens~19k

Compatible Skills

These tools work well together with ha-text-ai for enhanced workflows:

  • llm_intents — semantic(0.59)+complementary+rare_topics+same_lang+similar_pop+shared_platform (81%)
  • hass-mcp-server — semantic(0.48)+complementary+rare_topics+same_lang+similar_pop+shared_platform (75%)
  • voice-satellite-card-llm-tools — semantic(0.44)+complementary+rare_topics+same_lang+similar_pop+shared_platform (75%)
  • hass-mcp — semantic(0.45)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)
  • home-assistant-vibecode-agent — semantic(0.36)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)

ha-text-ai alternative? Top 6 similar tools

Looking for a ha-text-ai alternative? If you're comparing ha-text-ai with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • hass-mcp by voska · ⭐ 341

    Control and query Home Assistant from Claude and other LLMs — a Model Context Protocol (MCP) server.

  • SimplerLLM by hassancs91 · ⭐ 219

    Python library for building with LLMs. One interface across 11 providers (OpenAI, Anthropic, Gemini, DeepSeek,

  • llm_intents by skye-harris · ⭐ 207

    Exposes internet search tools for use by LLM-backed Assist in Home Assistant

  • Plush-for-ComfyUI by glibsonoran · ⭐ 199

    Custom node for ComfyUI/Stable Diffustion

  • LLM_trader by qrak · ⭐ 128

    LLM-powered Crypto Trading Framework with Vision AI chart analysis, real-time Neural Engine, and a live monito

  • HA-Jev by AboveColin · ⭐ 50

    Ask your house a question, get a number back. Home Assistant integration for TypeSafe Jev: typed answers as se

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Frequently Asked Questions

What is ha-text-ai?

ha-text-ai is Cutting-edge AI solution for Home Assistant. Multi-LLM provider support to transform your smart home experience with intelligent, adaptive automation.. It is categorized as a Claude Skill with 80 GitHub stars.

What programming language is ha-text-ai written in?

ha-text-ai is primarily written in Python. It covers topics such as ai, anthropic, anthropic-claude.

How do I install or use ha-text-ai?

You can find installation instructions and usage details in the ha-text-ai GitHub repository at github.com/smkrv/ha-text-ai. The project has 80 stars and 7 forks, indicating an active community.

What license does ha-text-ai use?

ha-text-ai is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to ha-text-ai?

The top alternatives to ha-text-ai on Agent Skills Hub include hass-mcp, SimplerLLM, llm_intents. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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