Opencode Sandbox logo

Opencode Sandbox

Community
luongnv89
opencode-sandbox

Run OpenCode in a docker-dev sandbox (SSH/gh on by default; --no-ssh/--no-github to isolate). Prints docker exec attach; kept until you confirm rm. Don't use for opencode.ai (opencode-runner), Herdr, or the app.

Overview

Publisherluongnv89
Repositoryskills
Skill nameopencode-sandbox
Stars
124
Forks
18
Bundled files
6
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by luongnv89 on GitHub. Read the source before you install it.

Installation

Install the Opencode Sandbox AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/luongnv89/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/opencode-sandbox .claude/skills/opencode-sandbox
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Opencode Sandbox in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Opencode Sandbox on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Opencode Sandbox is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

OpenCode Sandbox

Run OpenCode inside a luongnv89/docker-dev container for a local project. A fresh local OpenCode profile is used by default: the host's ~/.config/opencode is not mounted. Pass --with-opencode-config only when the task must reuse the host profile or credentials. SSH and GitHub auth remain on by default (~/.ssh, ~/.config/gh, GH_TOKEN from gh auth token) so git commit, git push, gh pr create, and gh pr merge work in the container. Pass --no-ssh --no-github when the task must not reach GitHub. Details: references/mounts-and-credentials.md.

Keep-by-default: the container stays running after the task so the user can attach a shell. Do not remove it unless they confirm (or they asked for --rm up front).

When to Use

  • Run OpenCode against a project and let it commit, push, open, or merge a PR (gh / SSH available inside the container)
  • OpenCode keeps hitting provider rate limits and the task needs a fresh local profile (a new container with the default mounts, or --fresh-profile)
  • The task must not touch GitHub — pass --no-ssh --no-github and review the host diff; push stays a separate step

Repo Sync Before Edits (mandatory)

The container only sees whatever is on disk at docker run time — sync the host repo before launching, not after:

bash
branch="$(git -C "$PROJECT_DIR" rev-parse --abbrev-ref HEAD)"
git -C "$PROJECT_DIR" fetch origin && git -C "$PROJECT_DIR" pull --rebase origin "$branch"

If the tree is dirty: stash (-u), sync, pop. If origin is missing or the rebase conflicts, stop and ask the user before continuing.

Skip this step when the task is read-only inspect (list files, summarize) and will not write the tree. Always sync when the container will edit files.

Choose a mode

ModeUse whenGo to
One-shot (default)Single task, no need to watch it work"One-shot mode" below
InteractiveUser wants to watch live or steer mid-taskreferences/interactive-mode.md

Default to one-shot — it needs no pane-management skill, has no TUI-timing gotchas, and its completion signal is a plain process exit code. Reach for interactive mode only when the task genuinely needs a human in the loop mid-run.

One-shot mode

scripts/run_opencode.sh starts a named container (sleep infinity as PID 1 so it stays running), prints an attach command, then runs opencode2 run --auto via docker exec (opencode is used as a fallback for older images). One exit code from OpenCode, output on stdout — no polling, no TUI, no permission dialogs to click through (--auto handles them; see references/mounts-and-credentials.mdWhy --auto is required).

The container is kept by default. Do not pass --rm unless the user already asked to throw the container away. After the run, ask them before any docker rm (Step 4).

Step 1 — Decide mounts

Every run mounts the project directory (/workspace). On by default: ~/.ssh, GitHub auth (~/.config/gh + GH_TOKEN), and ~/.gitconfig. The host's ~/.config/opencode is not mounted unless --with-opencode-config is passed. Opt out when the user asks to isolate, or the task must not reach GitHub:

  • --no-ssh — do not mount ~/.ssh
  • --no-github — do not mount ~/.config/gh or inject GH_TOKEN
  • --no-git-identity — do not mount ~/.gitconfig
  • --with-opencode-config — mount the host's ~/.config/opencode profile and credentials. This is opt-in; the default is a fresh local profile.
  • --fresh-profile — explicitly select a fresh local OpenCode profile (alias for --no-opencode-config). A new profile does not reset provider, model, network, or service rate limits. Anonymous/free models may work without login; authenticate only when needed. Combined with --with-agents, the script also mounts ~/.config/opencode/skills read-only so its relative skill symlinks still resolve — and nothing else from that directory, including service.json. See references/mounts-and-credentials.md.

Add flags only for extras the task needs:

  • --with-claude-skills — task must read/follow a user-level Claude Code skill living under ~/.claude/skills/ (mounts ~/.claude and ~/.agents, read-only — see the symlink gotcha in references/mounts-and-credentials.md before assuming one mount is enough). Skip this flag for a project-local skill/convention doc (e.g. AGENTS.md, .claude/skills/ inside the repo itself, a CONTRIBUTING.md) — it's already inside /workspace via the project mount, no extra flag needed.
  • --with-agents — mount ~/.agents read-only without ~/.claude. Use when the task needs the skill library but the container should not see Claude Code's own directory.

OpenCode has no native "skill" concept — mounting a directory only makes a file readable, not followed. When using --with-claude-skills, the --message must explicitly point OpenCode at it, e.g.: "Read /root/.claude/skills/<name>/SKILL.md and follow it as your playbook for this task."

Additional options accepted by run_opencode.sh: --with-opencode-config to opt in to mounting the host OpenCode profile; --fresh-profile or --no-opencode-config to explicitly select a fresh local profile; --image IMAGE to override the default container image (ghcr.io/luongnv89/devbox:latest); --format FORMAT to set opencode2 run's output format (default or json; default: default); --name NAME to set the container name (default: opencode-sandbox-<project>-<epoch>); --start-only to create the container and print the attach command without running OpenCode; --exec-in NAME to run OpenCode in an already-started container; --rm to auto-remove the container after OpenCode exits (opt-in — not the default).

Step 2 — Start the container, show attach, then run OpenCode

Invoke the bundled script by absolute pathscripts/run_opencode.sh next to this SKILL.md. Do not run scripts/run_opencode.sh from the project directory; that file is not there.

Two invocations, so the user sees the attach command before OpenCode blocks (a single --project + --message call also works, but the attach line then sits in tool logs until OpenCode exits):

bash
# 2a — create the keep-alive container, print attach, return immediately
bash /path/to/opencode-sandbox/scripts/run_opencode.sh \
  --project /path/to/project \
  --start-only \
  [--with-claude-skills] [--no-ssh] [--no-github]

Parse CONTAINER_NAME=... from stderr. Surface this to the user as a fenced code block now, before step 2b:

bash
docker exec -it <CONTAINER_NAME> zsh
bash
# 2b — run OpenCode inside that container
bash /path/to/opencode-sandbox/scripts/run_opencode.sh \
  --project /path/to/project \
  --message "<task text>" \
  --exec-in "<CONTAINER_NAME>" \
  [--with-claude-skills] [--no-ssh] [--no-github]

For task text too long or complex for a shell argument, write it to a file and attach it on 2b:

bash
bash /path/to/opencode-sandbox/scripts/run_opencode.sh \
  --project /path/to/project \
  --message "Follow the attached file's instructions exactly." \
  --file /path/to/task.txt \
  --exec-in "<CONTAINER_NAME>"

If --exec-in names a container that exists but is stopped, the script runs docker start then execs. If the name does not exist, it errors — do not docker rm a collision to "fix" it unless the user confirms.

preflight.sh (called automatically) checks the Docker daemon is running — starting it on macOS if not — and pulls the image on first use. Both scripts print a specific error with a fix on failure; read the message before retrying blind. Common failures and fixes: references/troubleshooting.md.

Completion criterion for this step: step 2a exited 0 with a CONTAINER_NAME= line; the attach command was shown to the user as a fenced block before step 2b started; step 2b's OpenCode transcript then ran.

Step 3 — Verify before anything ships

Completion criterion: exit code 0 from the --exec-in invocation, and the printed transcript shows the task actually finished (not a mid-task rate-limit retry loop — see references/troubleshooting.md if it stalls). Exit 0 means OpenCode finished without error; the container is still running unless --rm was passed. It does not mean the change is correct or safe to push.

Before treating the run as done:

  1. git -C "$PROJECT_DIR" status --short and git -C "$PROJECT_DIR" diff — review every changed file, not just the ones the task description mentioned. A broad git add <dir>/ stages backup/build artifacts (.bak, .orig, stray build output) just as readily as real changes — see references/troubleshooting.md.
  2. If the task touched dependency files (package.json, lockfiles, etc.), diff them specifically for container-architecture leakage — a Linux binary promoted into a real (non-optional) dependency has shipped from this exact setup before. See references/troubleshooting.md.
  3. Default credentials mean the container can git push / gh pr. Review git status/diff (and the GitHub result) anyway. If the user asked to isolate, you passed --no-ssh --no-github and push stays a separate host step.

Step 4 — Ask before removing the container

Default is keep. Do not run docker rm (or pass --rm) unless the user confirms they want the container gone.

After Step 3, ask once, naming the container:

Container <CONTAINER_NAME> is still running. Attach with docker exec -it <CONTAINER_NAME> zsh. Remove it for cleanup?

  • Yesdocker rm -f "$CONTAINER_NAME", then confirm docker container inspect "$CONTAINER_NAME" fails.
  • No / no answer → leave it running. Repeat the attach command so they still have a copy-paste line.
  • --rm was already passed → the script removed it on exit; skip this step.

Do not treat leftover containers as a failure of the OpenCode task.

Interactive mode

For watching OpenCode work live or steering it mid-task. Needs a real pane/terminal the agent can repeatedly read and write — pair this skill with herdr-agent or tmux-agent-comms for the pane mechanics. Read references/interactive-mode.md for what's specific to OpenCode-in-a-container on top of those primitives: TUI readiness timing (sending too early drops the message, or worse, a second premature send exits OpenCode entirely), permission-dialog handling, and completion detection (container processes are invisible to host-level agent-status tracking — poll the transcript or use a sentinel string instead).

Example

bash
bash ~/.claude/skills/opencode-sandbox/scripts/run_opencode.sh \
  --project ~/code/my-app \
  --start-only
# → show the printed docker exec -it <name> zsh block to the user, then:
bash ~/.claude/skills/opencode-sandbox/scripts/run_opencode.sh \
  --project ~/code/my-app \
  --message "Add input validation to the signup form and run the test suite." \
  --exec-in "<CONTAINER_NAME>"

Expected output: 2a reports Docker/image ready and prints CONTAINER_NAME= plus a copy-paste docker exec -it <name> zsh block, then returns. The user can paste that into another terminal immediately. 2b streams OpenCode's task transcript and exits 0. The container is still running. Back on the host, git -C ~/code/my-app diff shows the validation change and its test — nothing else. Then ask the user whether to docker rm -f <name>. If the transcript instead shows a rate-limit retry loop, treat the run as unfinished (see references/troubleshooting.md), not as a pass.

Acceptance Criteria

  • run_opencode.sh exits 0, and the transcript shows the task actually completed (not a stalled rate-limit retry)
  • A copy-paste attach command (docker exec -it <container-name> zsh) was shown to the user
  • The container was not removed unless the user confirmed cleanup (or they requested --rm up front)
  • git -C "$PROJECT_DIR" status --short and git -C "$PROJECT_DIR" diff were reviewed on the host before anything is committed or pushed
  • SSH (~/.ssh) and GitHub auth (GH_TOKEN / ~/.config/gh) were mounted unless the user asked to isolate (--no-ssh --no-github)
  • Host OpenCode config was not mounted unless --with-opencode-config was explicitly requested
  • Dependency-file diffs (package.json, lockfiles) were checked for container-only binaries before treating the run as safe to merge

Edge cases this skill accounts for: a dirty host repo before sync (stash -u, sync, pop); an already-running container from a prior task (name collision — see references/troubleshooting.md); a leftover kept container the user declined to remove (leave it; do not docker rm on your own); a TUI message sent before the interactive pane finishes booting, which drops the message or exits OpenCode entirely (see references/interactive-mode.md).

Step Completion Report

◆ OpenCode Sandbox (one-shot run)
··································································
  Docker daemon:         √ pass (docker info)
  Image ready:           √ pass (ghcr.io/luongnv89/devbox:latest)
  OpenCode CLI:          √ opencode2 (fallback: opencode)
  Profile:               √ fresh by default | √ host profile when requested
  Mounts:                √ workspace, host opencode config when requested, ssh, gh, gitconfig [+ claude skills]
  Credentials:           √ ssh+gh on | √ --no-ssh --no-github (isolated)
  Attach command:        √ docker exec -it <name> zsh shown
  Task exit code:        √ 0 | × <N> — <error from output>
  Host diff reviewed:    √ pass (git status/diff checked) | — n/a (no changes)
  Container:             √ kept (<name>) | √ removed (user confirmed) | √ --rm
  ____________________________
  Result:               PASS | FAIL

Adapt for interactive mode: replace Task exit code with Sentinel/transcript completion and add Permission dialogs handled if any appeared. Container is still kept-until-confirmed unless the user asked to auto-remove.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Opencode Sandbox AI skill do?

Run OpenCode in a docker-dev sandbox (SSH/gh on by default; --no-ssh/--no-github to isolate). Prints docker exec attach; kept until you confirm rm. Don't use for opencode.ai (opencode-runner), Herdr, or the app.

Why use Opencode Sandbox on TypingMind?

Because you install it once and use it with any model. Opencode Sandbox is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Opencode Sandbox in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/luongnv89/skills/tree/main/skills/opencode-sandbox. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Opencode Sandbox?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Opencode Sandbox?

As many as you like. As long as a model supports skills, you can use Opencode Sandbox with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Opencode Sandbox AI skill free?

Yes. It is published on GitHub by luongnv89 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇