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 intellectronica · Codex Skill · ★ 2.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ruler safe to install? View the security audit →
Ruler: Centralise Your AI Coding Assistant Instructions GitHub: intellectronica/ruler NPM: @intellectronica/ruler Animation by Isaac Flath of Elite AI-Assisted Coding ➡︎ Beta Research Preview - Please test this version carefully in your environment - Report issues at https://github.com/intellectronica/ruler/issues Why R
| Stars | 2,922 |
| Forks | 161 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 69.6780427261128/100 |
| Open Issues | 11 |
| Last Updated | 2026-09-09 |
| Created | 2025-05-20 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~26k |
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ruler is Ruler — apply the same rules to all coding agents. It is categorized as a Codex Skill with 2.9k GitHub stars.
ruler is primarily written in TypeScript. It covers topics such as agents, ai, aider.
You can find installation instructions and usage details in the ruler GitHub repository at github.com/intellectronica/ruler. The project has 2.9k stars and 161 forks, indicating an active community.
ruler is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ruler on Agent Skills Hub include crystal, openrelay, ccmanager. 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: