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 Akshayykadam · Agent Tool · ★ 719
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is PixelBoard safe to install? View the security audit →
PixelBoard Supercharged Gboard Mod featuring Google Pixel 11 series's Rambler Voice Typing & AI Writing Assistant [No Root]. Visual Tour & Screenshots Overview PixelBoard is a sleek, ultra-clean enhancement of Google's flagship keyboard. Tailored for pure productivity, PixelBoard strips away unnecessary bloatware and focuses strictly on two powerhouse features: Gemini Rambler Voice Dictation and AI Writing Assistant. PixelBoard is engineered with an independent coexistence package ID (), allowing you to install and use it side-by-side with your factory Gboard without replacing, uninstalling, or risking system ke
| Stars | 719 |
| Forks | 25 |
| Language | Java |
| Category | Agent Tool |
| License | GPL-3.0 |
| Quality Score | 66.3129531247609/100 |
| Open Issues | 19 |
| Last Updated | 2026-10-13 |
| Created | 2026-09-17 |
| Platforms | gemini, java |
| Est. Tokens | ~19k |
These tools work well together with PixelBoard for enhanced workflows:
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PixelBoard is Unlock Google 11's Gemini "Rambler" Natural Voice Dictation & AI Writing Tools on ANY Android phone. No root required.. It is categorized as a Agent Tool with 719 GitHub stars.
PixelBoard is primarily written in Java. It covers topics such as ai-writing-tools, android, apk.
You can find installation instructions and usage details in the PixelBoard GitHub repository at github.com/Akshayykadam/PixelBoard. The project has 719 stars and 25 forks, indicating an active community.
PixelBoard is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to PixelBoard on Agent Skills Hub include Deepseek-Harness-Local-Android, chat-js, LeanType. 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: