barehands: Move things on your screen with your bare hands

by jaredrhod · Claude Skill · ★ 764

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

How to install barehands

git clone https://github.com/jaredrhod/barehands

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 65/100

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. Full audit →

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-assisstantaugmented-realityclaude-codegesture-controlhand-trackingmediapipethreejs

Quick Facts

Stars764
Forks155
LanguageHTML
CategoryClaude Skill
LicenseAGPL-3.0
Quality Score65/100
Last Updated2026-08-30
Created2026-08-15
Platformsbrowser, claude-code
Est. Tokens~17k

About barehands

barehands Never used Claude Code? Start at jaredrhod.com: pick your situation and it routes you to the right path. Move things on your screen with your bare hands. barehands turns your webcam into a hand-tracked interface: notes, images, and 3D models float over your camera as glass cards.

Compatible Skills

These tools work well together with barehands for enhanced workflows:

  • WrongStack — semantic(0.22)+complementary+similar_pop+shared_platform (48%)
  • glyphic — semantic(0.19)+complementary+similar_pop+shared_platform (47%)

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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