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 dyoshikawa · MCP Server · ★ 1.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is rulesync safe to install? View the security audit →
Rulesync Documentation | npm A Node.js CLI tool that automatically generates configuration files for various AI development tools from unified AI rule files. Features selective generation, comprehensive import/export capabilities, and supports major AI development tools with rules, commands, MCP, ignore files, subagents and skills. [!NOTE] If you are interested in Rulesync latest news, please follow the maintainer's X(Twitter) account: [@dyoshikawa1993](https://x.c
| Stars | 1,460 |
| Forks | 154 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67.3417726900108/100 |
| Open Issues | 49 |
| Last Updated | 2026-09-22 |
| Created | 2025-06-18 |
| Platforms | cli, mcp, node |
| Est. Tokens | ~16k |
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rulesync is A Utility CLI for AI Coding Agents. It is categorized as a MCP Server with 1.5k GitHub stars.
rulesync is primarily written in TypeScript. It covers topics such as ai, ai-agents, ai-coding.
You can find installation instructions and usage details in the rulesync GitHub repository at github.com/dyoshikawa/rulesync. The project has 1.5k stars and 154 forks, indicating an active community.
rulesync is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to rulesync on Agent Skills Hub include claude-code-plugins-plus-skills, mcp, pg-aiguide. 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: