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 | 71 |
| Forks | 8 |
| Language | Shell |
| Category | AI Tool |
| License | MIT |
| Quality Score | 63/100 |
| Open Issues | 1 |
| Last Updated | 2026-01-04 |
| Created | 2026-01-04 |
| Platforms | claude-code, cli |
| Est. Tokens | ~11k |
Claude Vault An AI-assisted knowledge base for Obsidian. A hybrid system where you have visual access through Obsidian, and your AI assistant has access through Claude Code. Work from your phone, desktop, or terminal — everything stays in sync.
Looking for a claude-vault alternative? If you're comparing claude-vault with other ai tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
MCP server to interact with LogSeq via its Local HTTP API - enabling AI assistants like Claude to seamlessly r
Agent SKILL for Obsidian.md plugin development
Architecture-first skill lifecycle for AI agents. BinEval binary scoring with threshold-blind, cross-family-ca
A modular, fully configurable DataviewJS dashboard for Obsidian — monitor Claude Code sessions in real-time,
A compile step for knowledge bases. Gives your agent a concept graph of your content — under 20s to index, 8ms
A reusable template for building personal LLM-maintained knowledge bases. Implements Karpathy's LLM Wiki patte
Explore other popular ai tool 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: