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 RoundTable02 · Agent Tool · ★ 400
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is tutor-skills safe to install? View the security audit →
tutor-skill Two Claude Code skills that turn any knowledge source into an Obsidian StudyVault and then quiz you on it — closing the loop from content to comprehension. How It Works Skills Overview Obsidian va
| Stars | 400 |
| Forks | 37 |
| Language | Shell |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 73.1240565824757/100 |
| Last Updated | 2026-02-28 |
| Created | 2026-02-22 |
| Platforms | claude-code, cli |
| Est. Tokens | ~1k |
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tutor-skills is A Claude Code skill that turns PDFs, docs, and codebases into Obsidian study vaults. It is categorized as a Agent Tool with 400 GitHub stars.
tutor-skills is primarily written in Shell. It covers topics such as agent-skills, claude, claude-code.
You can find installation instructions and usage details in the tutor-skills GitHub repository at github.com/RoundTable02/tutor-skills. The project has 400 stars and 37 forks, indicating an active community.
tutor-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to tutor-skills on Agent Skills Hub include mermaid-skill, cc-skills, ios-simulator-skill. 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: