vibepulse: ESP32-S3 AMOLED for Claude Code & Codex usage, live agent activity, and answerable NEEDS YOU alerts

by niclasvestlund-YT · Claude Skill · ★ 212

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

How to install vibepulse

git clone https://github.com/niclasvestlund-YT/vibepulse.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 64/100

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.

amoledclaudeclaude-codecodexesp32-s3lvglquota-tracker

Quick Facts

Stars212
Forks36
LanguageC
CategoryClaude Skill
LicenseMIT
Quality Score64/100
Open Issues8
Last Updated2026-10-28
Created2026-08-12
Platformsclaude-code, codex
Est. Tokens~26k

About vibepulse

VibePulse A little always-on screen for your shelf that shows what your AI coding agents are doing — taps you on the shoulder when one is stuck waiting for you, and (if you want) lets you answer it with a tap on the glass. It packs too: one command moves it onto whatever WiFi you are on today, and one button-hold on the panel opens its own settings on the glass.

Compatible Skills

These tools work well together with vibepulse for enhanced workflows:

  • AgentDeck — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)
  • claude-pace — semantic(0.22)+complementary+rare_topics+similar_pop+shared_platform (52%)

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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:

View on GitHub → Browse Claude Skill tools