by felinics · Codex Skill · ★ 2.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Flagged: sudo usage. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 2,772 |
| Forks | 262 |
| Language | Go |
| Category | Codex Skill |
| License | AGPL-3.0 |
| Quality Score | 67/100 |
| Open Issues | 43 |
| Last Updated | 2026-11-01 |
| Created | 2026-01-12 |
| Platforms | go |
| Est. Tokens | ~4556k |
[English] [简体中文] [日本語] Memoh Give every AI agent its own cloud computer. Open source. Desktop, browser, network, and long-term memory — always on, even when your laptop is closed. Login · Self-hosted · Docs · Website · X What is Memoh? Memoh is an open-source multi-agent platform. Each agent gets its own cloud computer — a dedicated workspace with a filesystem, desktop, browser, n
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: