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 Rune-kit · Claude Skill · ★ 83
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is rune safe to install? View the security audit →
Less skills. Deeper connections. A lean, interconnected skill ecosystem for AI coding assistants. 62 skills · 215+ mesh connections · 8 platforms · MIT Claude Code (native plugin) · Cursor · Windsurf · Google Antigravity · OpenAI Codex · OpenCode · any AI IDE Why Rune? Most skill ecosystems are either too many isolated skills (540+ that don't talk to each other) or rigid pipelines (A → B → C, if B fails everything stops). Rune is a mesh — 62 skills with 215+ conn
| Stars | 83 |
| Forks | 24 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 64.6292903528186/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-16 |
| Created | 2026-02-24 |
| Platforms | claude-code, node |
| Est. Tokens | ~19k |
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rune is Less skills. Deeper connections. A lean, interconnected skill ecosystem for Claude Code.. It is categorized as a Claude Skill with 83 GitHub stars.
rune is primarily written in JavaScript. It covers topics such as claude-code, mesh, orchestration.
You can find installation instructions and usage details in the rune GitHub repository at github.com/Rune-kit/rune. The project has 83 stars and 24 forks, indicating an active community.
rune is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to rune on Agent Skills Hub include maestro, ai-workflow, skill-conductor. 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: