Codex plugin for disposable CreateOS Sandboxes — the `cos` driver, the using-createos-sandbox skill, and session-start / offload-hint hooks. Same engine as the Claude Code plugin.
Plugin createos-sandbox-codex from marketplace createos in NodeOps-app/createos-plugins. Commands read from the repo's manifest — 8 days ago.
using-createos-sandboxUse when you need to run code OFF the user's machine — ALWAYS for untrusted or unknown code, and for any ad-hoc script or snippet you would otherwise run locally (remote code execution: `cos exec <file>`), heavy/long builds or test suites, a parallel test/config matrix across many boxes, an instant
Run ad-hoc/heavy/untrusted code in disposable CreateOS Sandboxes; offload, parallel fanout, scratch shell, reusable box with sync, port tunnel, public expose, network clusters, S3 disks, WireGuard VPN, fork, pause/resume, and custom images.
1 skill · 22 commands · hooks
Tenant-isolated AI teams that plan work, coordinate tasks, recall approved context, and return evidence-backed results
6 skills · 6 commands · 4 agents · 1 MCP server
Agent Skills for Together AI platform — inference, training, embeddings, audio, video, images, function calling, and infrastructure. Covers serverless chat completions, image/video generation, fine-tuning, batch inference, evaluations, sandboxes, dedicated endpoints, and GPU clusters.
Context window saver for 10 coding agents. Local and free: sandboxed code execution, FTS5 search, session continuity.
3 skills · 1 MCP server
Opt-in, outside every domain bundle: orchestrate opencode workers from Claude Code to cut token costs, with single workers or parallel scout/coder/tester swarms on free or open-source models and worktree isolation. Requires the third-party opencode CLI and an opencode account; by default worker prompts and code go to opencode's hosted service (point --model at a local model to keep code on your machine), so install it only if you accept that data flow.
1 skill
Skills plus explorer and reviewer subagents for building, scaffolding, debugging, understanding, and auditing applications with the Atomic Agents Python framework. Progressive-disclosure references for schemas, agents, tools, context providers, prompts, orchestration, memory, hooks, providers, project structure, and testing — plus a troubleshoot diagnostic, isolated-context subagents for codebase mapping and code review, and a new-app scaffolder.
7 skills · 2 agents
Parallel divergent ideation for coding agents: fans out isolated branches under different cognitive frames, scores, clusters, prunes traps, and deepens the survivors.
1 skill
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