OpenVision: Open-source iOS app connecting Meta Ray-Ban smart glasses to AI

by rayl15 · Codex Skill · ★ 156

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

How to install OpenVision

git clone https://github.com/rayl15/OpenVision.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 72/100

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.

ai-assistantapple-intelligenceface-recognitiongeminigemmaiosllmmeta-glassesmlxoffline-ai

Quick Facts

Stars156
Forks35
LanguageSwift
CategoryCodex Skill
LicenseMIT
Quality Score72/100
Open Issues6
Last Updated2026-10-04
Created2026-02-09
Platformsbrowser, gemini
Est. Tokens~18k

About OpenVision

OpenVision The open-source iOS app connecting Meta Ray-Ban smart glasses to AI assistants — cloud or fully on-device. Your glasses. Your AI. Your rules. Demo What Can You Do? "Ok Vision, what am I looking at?" "Is my form correct?" - real-time

Compatible Skills

These tools work well together with OpenVision for enhanced workflows:

  • ETOS-LLM-Studio — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • Pepper — semantic(0.26)+complementary+same_lang+similar_pop (54%)

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How this security grade is produced

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:

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