by VibePod · Codex Skill · ★ 188
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
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 | 188 |
| Forks | 12 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 76/100 |
| Open Issues | 36 |
| Last Updated | 2026-10-29 |
| Created | 2026-02-10 |
| Platforms | claude-code, cli, codex, docker, python |
| Est. Tokens | ~15k |
VibePod VibePod is a unified CLI () for running AI coding agents in isolated Docker containers — no required configuration, no setup. Just . Includes built-in local metrics collection, HTTP traffic tracking, and an analytics dashboard to monitor and compare agents side-by-side. Features ⚡ Zero config — no setup required; just works.
These tools work well together with vibepod-cli for enhanced workflows:
Looking for a vibepod-cli alternative? If you're comparing vibepod-cli with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Give the agent a machine. Just not yours. Each AI coding agent gets its own isolated machine with root, Docker
Self-hosted mission control for AI coding agents: run Claude Code, OpenCode, Pi, Codex, and Antigravity & Gemi
Run AI coding agents in hardened container sandboxes.
Run your coding agents from Telegram. A bridge for Claude Code, Codex, OpenCode and Pi: send tasks by text or
Persistent Linux workspaces for agentic development.
Your agent is a security risk, so treat it like one. yoloAI does AI agent sandboxing right.
Explore other popular codex skill tools:
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: