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 LeanBitLab · Agent Tool · ★ 1.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is LeanType safe to install? View the security audit →
LeanType LeanType is a fork of HeliBoard - a privacy-conscious and customizable open-source keyboard based on AOSP/OpenBoard. This fork adds optional AI-powered features using Gemini, Groq, and OpenAI-compatible APIs, offering a hybrid experience: a private, offline core with opt-in cloud intelligence. What's New in LeanType 🤖 Multi-Provider AI - Proofread using Gemini, Groq (Llama 3, Mixtral), or OpenAI-compatible providers. Supports dynamic fetching of latest models directly from providers. 🛡️ Offline AI - Private, on-device proofreading and translation using ONNX models (Offline build only). 🌐 AI Translation - Translate selected text directly using your chosen AI provider, with a separate model selector. [🧠 Custom AI Keys
| Stars | 1,049 |
| Forks | 62 |
| Language | Kotlin |
| Category | Agent Tool |
| License | GPL-3.0 |
| Quality Score | 59.313591499027/100 |
| Open Issues | 52 |
| Last Updated | 2026-10-13 |
| Created | 2026-01-15 |
| Platforms | gemini |
| Est. Tokens | ~18k |
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LeanType is LeanType is an Open-source keyboard, fork of HeliBoard with additional features and customisation. It is categorized as a Agent Tool with 1.0k GitHub stars.
LeanType is primarily written in Kotlin. It covers topics such as ai-tools, android, aosp.
You can find installation instructions and usage details in the LeanType GitHub repository at github.com/LeanBitLab/LeanType. The project has 1.0k stars and 62 forks, indicating an active community.
LeanType is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to LeanType on Agent Skills Hub include ToolNeuron, OGAM, awesome-startup. 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: