by itechmeat · MCP Server · ★ 493
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
| Stars | 493 |
| Forks | 63 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67/100 |
| Open Issues | 4 |
| Last Updated | 2026-10-22 |
| Created | 2026-05-06 |
| Platforms | claude-code, codex, mcp, node |
| Est. Tokens | ~16k |
Open Second Brain An Obsidian-native memory layer for your AI agent. Plain Markdown you own, in the same vault you already use. Open Second Brain plugs into Hermes Agent and turns your Obsidian vault into a memory layer the agent reads and writes through deterministic CLI / MCP tools.
These tools work well together with open-second-brain for enhanced workflows:
Explore other popular mcp server tools:
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: