by Abilityai · Claude Skill · ★ 109
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/Abilityai/cornelius.gitTaken from the project's README on GitHub. Check the security audit before running it.
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 | 109 |
| Forks | 35 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 60/100 |
| Open Issues | 5 |
| Last Updated | 2026-10-08 |
| Created | 2025-11-02 |
| Platforms | claude-code, python |
| Est. Tokens | ~20k |
Project Cornelius AI-powered second brain template for Claude Code + Obsidian Capture insights, discover connections, and synthesize knowledge - with AI assistance. The whole system in one 3-minute loop: notes become a graph → connection discovery proposes cross-domain bridges → extractors source-tier and provenance-stamp everything at the door → the domain watch fires signals → the incubation...
Looking for a cornelius alternative? If you're comparing cornelius with other claude skill tools, these 1 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Report issues related to MCP integration with Claude here.
Explore other popular claude skill 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: