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 edutrul · Codex Skill · ★ 67
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is drupal-ai safe to install? View the security audit →
Drupal AI A production-tested AI toolkit for Drupal 11 development — compatible with Claude Code, OpenAI Codex, Cursor, and GitHub Copilot. This repository serves a dual purpose: Active Drupal 11 project — the AI configuration is actively used on a real Drupal 11 / DDEV / Acquia Cloud project. Reusable contribution — the folder is project-agnostic and can be dropped into any Drupal project. What's Included Skills () Invoke-on-demand reference knowledge loaded only when the task requires it, keeping context lean. Config imp
| Stars | 67 |
| Forks | 13 |
| Language | Shell |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 74.1449725225483/100 |
| Last Updated | 2026-06-05 |
| Created | 2026-04-15 |
| Platforms | claude-code, cli, codex |
| Est. Tokens | ~10k |
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drupal-ai is Drupal AI skills, agents, rules, hooks, commands for claude, codex, etc.. It is categorized as a Codex Skill with 67 GitHub stars.
drupal-ai is primarily written in Shell. It covers topics such as ai-agents, ai-tools, drupal.
You can find installation instructions and usage details in the drupal-ai GitHub repository at github.com/edutrul/drupal-ai. The project has 67 stars and 13 forks, indicating an active community.
drupal-ai is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to drupal-ai on Agent Skills Hub include claudepro-directory, agentor, deepcontext-mcp. 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: