ai-visualizer: Give your AI agent a face

by jaredrhod · Agent Tool · ★ 51

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

How to install ai-visualizer

git clone https://github.com/jaredrhod/ai-visualizer

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 54/100

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-assistantscanvasclaudeclaude-codecreative-codingjarvisjavascriptobssci-fivisualizer

Quick Facts

Stars51
Forks26
LanguageHTML
CategoryAgent Tool
LicenseAGPL-3.0
Quality Score54/100
Open Issues1
Last Updated2026-08-30
Created2026-08-16
Platformsbrowser, claude-code
Est. Tokens~15k

About ai-visualizer

ai-visualizer Never used Claude Code? Start at jaredrhod.com: pick your situation and it routes you to the right path. Runs on: Python 3 and a browser; works with any AI. Pair it with backtalk (Claude Code) for the live show; demo mode works standalone. The visualizer from my videos.

Compatible Skills

These tools work well together with ai-visualizer for enhanced workflows:

  • OpenVoiceUI — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (60%)
  • jarvis-assistant-vocal — semantic(0.21)+complementary+rare_topics+similar_pop+shared_platform (56%)
  • heoster-jarvis-ai-assistant — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop (56%)
  • heard — semantic(0.23)+complementary+rare_topics+similar_pop+shared_platform (53%)

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  • claudex by Mng-dev-ai · ⭐ 224

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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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