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 skye-harris · LLM Plugin · ★ 207
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is llm_intents safe to install? View the security audit →
Tools for Assist (Custom Integration for Home Assistant) Additional tools for LLM-backed Assist for Home Assistant: Web Search powered by your choice of Brave or SearXNG Location Search powered by Google Places Routes & Travel Time powered by Google Routes Wikipedia Weather Forecast YouTube Search and Playback Basic Utilities — Calculator, Kitchen Unit Converter, and Date Information Each tool is optional and configurable via the integrations UI. Some tools require API keys, but are usable on free tiers. A caching layer is utilised in order to reduce both API usage and latency on repeated requests for the same information within a 2-hour period. Additionally, a customisable clone of Home Assistants inbuilt tooling API can be enabled and used with your Conversation Agents: Edit the hidden prompt that the Assist API injects into your system prompt, if this is not to your liking, or conflicts with instructions that you have provided in your own prompt. Disable any of the default Assist API tools that you don't want your Conversation Agents to have access to. This is named in the list of tools.
| Stars | 207 |
| Forks | 22 |
| Language | Python |
| Category | LLM Plugin |
| License | MIT |
| Quality Score | 63.2448777278461/100 |
| Last Updated | 2026-09-19 |
| Created | 2025-07-06 |
| Platforms | python |
| Est. Tokens | ~18k |
These tools work well together with llm_intents for enhanced workflows:
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llm_intents is Exposes internet search tools for use by LLM-backed Assist in Home Assistant. It is categorized as a LLM Plugin with 207 GitHub stars.
llm_intents is primarily written in Python. It covers topics such as assist, hacs, hacs-integration.
You can find installation instructions and usage details in the llm_intents GitHub repository at github.com/skye-harris/llm_intents. The project has 207 stars and 22 forks, indicating an active community.
llm_intents is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to llm_intents on Agent Skills Hub include ha-text-ai, voice-satellite-card-llm-tools, hass-mcp-server. 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: