NovaPersonalAgent: open sourced personal agent + dual-brain voice assistant

by deepnovacore · Codex Skill · ★ 124

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

How to install NovaPersonalAgent

npm install --global nova-personal-agent@latest
git clone https://github.com/deepnovacore/NovaPersonalAgent.git nova-personal-agent

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

Security audit verdict: SAFE · quality 63/100

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.

agentagentic-aiaudioaudio-agentcodexpersonal-agentvibe-codingvibe-coding-assistant

Quick Facts

Stars124
Forks38
LanguageTypeScript
CategoryCodex Skill
LicenseApache-2.0
Quality Score63/100
Open Issues4
Last Updated2026-10-17
Created2026-08-16
Platformscodex, node
Est. Tokens~17k

About NovaPersonalAgent

English · 简体中文 Nova Personal Agent: Your Personal Agent and Voice Assistant Your personal agent and always-on voice assistant — aware of your context, with dual brains and restrained proactivity. Website · Documentation · Video demo Quickstart · Highlights · Use cases · Roadmap News 2026-10-13 · v0.4.0 — Continuous context, ongoing work: a persistent home and Timeline, scheduled tasks,...

Compatible Skills

These tools work well together with NovaPersonalAgent for enhanced workflows:

  • Motifcode — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (59%)
  • interactive-mcp — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (59%)

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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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