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 nixfred · Codex Skill · ★ 114
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is infomarchy safe to install? View the security audit →
Infomarchy Your wallpaper, promoted to information desk. Every AI agent running on your machine, what it's doing, what it cost you, and how the box is holding up — drawn live on the Omarchy desktop in your current theme, one glance away, one click to jump in. The public preview is the real plugin rendered on an empty Omarchy desktop using Infomarchy's explicit, transient demo-data mode. It contains no live prompt, hostname, username, network, path, process, or session data. Want to see the plain desktop? After configuring the shortcuts, press
| Stars | 114 |
| Forks | 20 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 56.1682996156658/100 |
| Open Issues | 5 |
| Last Updated | 2026-09-19 |
| Created | 2026-08-22 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~26k |
These tools work well together with infomarchy for enhanced workflows:
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infomarchy is Omarchy plugin: your wallpaper becomes a live, clickable information desk with every running AI agent (Claude Code, Codex, Grok, Ollama), 7-day heatmap, rate limits, recent prompts, machine stats. The. It is categorized as a Codex Skill with 114 GitHub stars.
infomarchy is primarily written in TypeScript. It covers topics such as arch-linux, claude-code, codex.
You can find installation instructions and usage details in the infomarchy GitHub repository at github.com/nixfred/infomarchy. The project has 114 stars and 20 forks, indicating an active community.
infomarchy is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to infomarchy on Agent Skills Hub include agentlytics, ai-skills, claude-cowork-linux. 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: