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 athola · MCP Server · ★ 69
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skrills safe to install? View the security audit →
Skrills Skills support engine for Claude Code, Codex CLI, GitHub Copilot CLI, and Cursor. Installation | User Guide | CLI Reference | MCP Tutorial | FAQ | Changelog What's new in 0
| Stars | 69 |
| Forks | 10 |
| Language | Rust |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.0876620674921/100 |
| Open Issues | 28 |
| Last Updated | 2026-09-22 |
| Created | 2025-11-24 |
| Platforms | claude-code, cli, codex, mcp, rust |
| Est. Tokens | ~25k |
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skrills is Coordinate skills between Codex, Copilot, and Claude Code. Validates, analyzes, and syncs skills, subagents, commands, and configuration between multiple CLIs.. It is categorized as a MCP Server with 69 GitHub stars.
skrills is primarily written in Rust. It covers topics such as claude-code, claude-skills, codex.
You can find installation instructions and usage details in the skrills GitHub repository at github.com/athola/skrills. The project has 69 stars and 10 forks, indicating an active community.
skrills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to skrills on Agent Skills Hub include awesome-ai-agent-skills, terrashark, codex-settings. 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: