Flagged: reads agent memory. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by coleam00 · Agent Tool · ★ 731
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is second-brain-starter safe to install? View the security audit →
Build Your AI Second Brain with Claude Code A skill for Claude Code that generates a personalized Product Requirements Document (PRD) for building your own AI second brain - a proactive, persistent AI assistant that knows your context, remembers across sessions, and keeps you informed. Watch the overview: How I Built My AI Second Brain with Claude Code (YouTube) What This Does You fill out a simple requirements template describing your tools, workflow, and preferences. Then Claude Code generates a phased build plan tailored to your setup - covering memory, integrations, skills, a proactive heartbeat, chat interface, and security hardening.
| Stars | 731 |
| Forks | 161 |
| Category | Agent Tool |
| Quality Score | 62.4653226642539/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-09 |
| Created | 2026-03-29 |
| Platforms | claude-code |
| Est. Tokens | ~46k |
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second-brain-starter is Build your own AI Second Brain with Claude Code - a skill that generates a personalized PRD for a proactive, persistent AI assistant. It is categorized as a Agent Tool with 731 GitHub stars.
You can find installation instructions and usage details in the second-brain-starter GitHub repository at github.com/coleam00/second-brain-starter. The project has 731 stars and 161 forks, indicating an active community.
The top alternatives to second-brain-starter on Agent Skills Hub include playwright-skill, chinese-novelist-skill, skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: