Vibepod CLI — Data skill for Claude Code
Unified CLI for running AI coding agents in isolated containers.
How to install Vibepod CLI
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open VibePod/vibepod-cli and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Vibepod CLI does
Unified CLI for running AI coding agents in isolated containers. Includes built-in local metrics collection, HTTP traffic tracking, and an analytics dashboard to track agent actions.
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README
VibePod
VibePod is a unified CLI (`vp`) for running AI coding agents in isolated Docker or Podman containers — no required configuration, no setup. Just `vp run `. 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;
vp runjust works. Optional YAML for custom configuration - 🐳 Isolated agents — each agent runs in its own Docker or Podman container
- 🔀 Unified interface — one CLI for Claude, Gemini, Codex, Devstral/Vibe, Copilot, Auggie, Pi, Agy, Tau, Jcode, Freebuff, Qwen, dsh & more
- 🧩 Skills — install reusable prompt recipes per-project or per-user with
vp skills add - 🧱 Project overlays — commit a
FROM-less Dockerfile fragment in.vibepod/overlay/and VibePod auto-builds a cached, content-addressed image layer on top of the agent's base image — one clearly named image per p
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