No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by skoowoo · Agent Tool · ★ 89
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is hylo safe to install? View the security audit →
Hylo: AI-native note-taking app compatible with Obsidian. AI agents organize and help you use your notes. 中文文档 Pick a topic on the AI knowledge graph and open it in the editor to read or edit. Ask the agent in chat to work on your notes. A tag graph generated by AI. Agent bots fetch news and other updates each day and send them to your inbox. Read and edit clipped web pages right in the editor. All images from your notes in one place. Click an image to find the notes that use it. Capture quick, scattered thoughts every day. Search notes as you type. Table of Contents Highlight Features Design Architecture Installation Obsidian Compatibility Editor Shorts Agent Bots WeChat Discord LLM-Wiki Compiler Personal Memory Skills (full guide) Customizing AI Behavior Shortcuts Highlight Features 📝 F
| Stars | 89 |
| Forks | 2 |
| Language | Go |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 63.822438663527/100 |
| Open Issues | 2 |
| Last Updated | 2026-10-01 |
| Created | 2026-06-16 |
| Platforms | go |
| Est. Tokens | ~21k |
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hylo is Hylo: AI-native note-taking app compatible with Obsidian. AI agents organize and help you use your notes.. It is categorized as a Agent Tool with 89 GitHub stars.
hylo is primarily written in Go. It covers topics such as agent-skills, ai-agent, ai-agents.
You can find installation instructions and usage details in the hylo GitHub repository at github.com/skoowoo/hylo. The project has 89 stars and 2 forks, indicating an active community.
hylo is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to hylo on Agent Skills Hub include skillport, ai-workflow, ai-agent-skill-for-video-workflow. 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: