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 ix-infrastructure · Codex Skill · ★ 881
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Ix safe to install? View the security audit →
Understand any codebase instantly. Your context saver and virtual cartographer. Website · Docs · Demo . Discord ⭐ Star this repo if you find it useful Problem Running out of tokens while developing? Not anymore... Modern software is complicated. You read code. You search logs. You still guess. AI can’t reason about systems. LLMs can’t remember them either. Ix
| Stars | 881 |
| Forks | 70 |
| Language | TypeScript |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 70.8961848073634/100 |
| Open Issues | 11 |
| Last Updated | 2026-09-10 |
| Created | 2026-03-03 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~15k |
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Ix is Understand any codebase instantly. System intelligence for codebases, built for humans and AI.. It is categorized as a Codex Skill with 881 GitHub stars.
Ix is primarily written in TypeScript. It covers topics such as ai, ai-memory, claude-code.
You can find installation instructions and usage details in the Ix GitHub repository at github.com/ix-infrastructure/Ix. The project has 881 stars and 70 forks, indicating an active community.
Ix is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to Ix on Agent Skills Hub include Grov, skillshare, Overture. 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: