JakeSelby
Registry indexed
sandbox
Fence an autonomous or long-running agent loop with the built-in sandbox and network off, or a container with the worktree mounted. Use before any unattended loop, before `execute` autonomy on an unfamiliar repo, and whenever a task pulls untrusted input.
Overview
Fence an autonomous or long-running agent loop with the built-in sandbox and network off, or a container with the worktree mounted. Use before any unattended loop, before `execute` autonomy on an unfamiliar repo, and whenever a task pulls untrusted input.
Read full documentation
Source documentation, not instructions for this website. Review permissions before running any commands.
Fence the loop
A permission mode decides whether a call runs. A sandbox decides what a command can reach once it is running, and the OS enforces that on every child process. An unattended loop needs the second kind: nobody is at the prompt to answer for the first.
Runtime scope
The configuration and container example below are Claude Code-specific. Do not copy those
settings into Codex. For Codex, use its native sandbox and approval controls as documented in
the configuration reference.
A read-only sandbox constrains filesystem writes; approval policy is a separate control.
Native hooks are not a replacement for OS confinement. Custom Codex role defaults can be
superseded by the parent turn's permissions; see docs/runtime-controls.md before delegating
work that requires a hard boundary. Client qualification remains in the compatibility catalog.
The Claude Code sandbox
It "runs on macOS, Linux, and WSL2. Native Windows is not supported"; Linux and WSL2 need
bubblewrap and socat installed first. Merge claude-settings.json into
~/.claude/settings.json to cover every project; the /sandbox panel writes enabled to
.claude/settings.local.json for one project. Its denyRead list blocks the SSH key directory,
AWS credentials and the GitHub CLI's config. The example lives in its own file because catalog
scanners match the SSH path in skill text and cannot tell a deny entry from an instruction to read.
strictAllowlist over an empty allowedDomains is network off: Claude Code then "denies sandboxed
commands access to any host outside the allowlist instead of prompting". Only user, managed and
--settings settings set it; a repository's own file cannot. The deny entries are load-bearing —
the default read policy covers most of the machine, credential files included. Add
sandbox.credentials.envVars entries with "mode": "deny" to unset tokens for sandboxed commands
too. failIfUnavailable makes a missing dependency a hard stop rather than a silent unsandboxed
fallback, and allowUnsandboxedCommands: false removes the retry-outside escape hatch. Subagents inherit the session's sandbox; commands
you type at the ! prompt do not.
For one session, writing no file: claude --settings '{"sandbox":{"enabled":true}}'. Confirm with
/sandbox: the Config tab shows the resolved settings, and a Dependencies tab appearing
means a package is missing. A prompt titled "Bash command (unsandboxed)" is the signal a command
left the boundary. Keys and defaults: https://code.claude.com/docs/en/sandboxing
A container
Harder boundary, coarser tooling. Mount the worktree and nothing else, stay non-root, and let the container be the isolation — do not nest the built-in sandbox inside it.
docker run --rm -it --network none \
--user "$(id -u):$(id -g)" \
-v "$PWD:/work" -w /work \
<image-with-a-local-model-and-agent-cli> agent-cli -p "<the loop prompt>"
podman substitutes unchanged. --network none cuts every hosted API too, so this example requires
the image to contain its model and agent runtime. A hosted-model loop needs a separately reviewed
egress policy and is outside this recipe. Web search and fetch, every remote MCP server and every
package install remain unavailable. Losing all of it is the point when the task parses input you
did not write: a path the loop lacks cannot be talked into opening.
Which one
Built-in sandbox for daily work: a settings change, every tool still works, the OS still enforces
the boundary. Container for a loop that runs while you sleep, a repo whose build scripts you have
not read, or anything handling untrusted content. Neither isolates branches — run inside a
worktree as well, per the worktree-per-agent skill.
File metadata
name: sandbox description: Fence an autonomous or long-running agent loop with the built-in sandbox and network off, or a container with the worktree mounted. Use before any unattended loop, before `execute` autonomy on an unfamiliar repo, and whenever a task pulls untrusted input.
View original text
---
name: sandbox
description: Fence an autonomous or long-running agent loop with the built-in sandbox and network off, or a container with the worktree mounted. Use before any unattended loop, before `execute` autonomy on an unfamiliar repo, and whenever a task pulls untrusted input.
---
# Fence the loop
A permission mode decides whether a call runs. A sandbox decides what a command can reach once it
is running, and the OS enforces that on every child process. An unattended loop needs the second
kind: nobody is at the prompt to answer for the first.
## Runtime scope
The configuration and container example below are Claude Code-specific. Do not copy those
settings into Codex. For Codex, use its native sandbox and approval controls as documented in
[the configuration reference](https://learn.chatgpt.com/docs/config-file/config-reference).
A read-only sandbox constrains filesystem writes; approval policy is a separate control.
Native hooks are not a replacement for OS confinement. Custom Codex role defaults can be
superseded by the parent turn's permissions; see `docs/runtime-controls.md` before delegating
work that requires a hard boundary. Client qualification remains in the compatibility catalog.
## The Claude Code sandbox
It "runs on macOS, Linux, and WSL2. Native Windows is not supported"; Linux and WSL2 need
`bubblewrap` and `socat` installed first. Merge [claude-settings.json](claude-settings.json) into
`~/.claude/settings.json` to cover every project; the `/sandbox` panel writes `enabled` to
`.claude/settings.local.json` for one project. Its `denyRead` list blocks the SSH key directory,
AWS credentials and the GitHub CLI's config. The example lives in its own file because catalog
scanners match the SSH path in skill text and cannot tell a deny entry from an instruction to read.
`strictAllowlist` over an empty `allowedDomains` is network off: Claude Code then "denies sandboxed
commands access to any host outside the allowlist instead of prompting". Only user, managed and
`--settings` settings set it; a repository's own file cannot. The deny entries are load-bearing —
the default read policy covers most of the machine, credential files included. Add
`sandbox.credentials.envVars` entries with `"mode": "deny"` to unset tokens for sandboxed commands
too. `failIfUnavailable` makes a missing dependency a hard stop rather than a silent unsandboxed
fallback, and `allowUnsandboxedCommands: false` removes the retry-outside escape hatch. Subagents inherit the session's sandbox; commands
you type at the `!` prompt do not.
For one session, writing no file: `claude --settings '{"sandbox":{"enabled":true}}'`. Confirm with
`/sandbox`: the **Config** tab shows the resolved settings, and a **Dependencies** tab appearing
means a package is missing. A prompt titled "Bash command (unsandboxed)" is the signal a command
left the boundary. Keys and defaults: https://code.claude.com/docs/en/sandboxing
## A container
Harder boundary, coarser tooling. Mount the worktree and nothing else, stay non-root, and let the
container be the isolation — do not nest the built-in sandbox inside it.
```bash
docker run --rm -it --network none \
--user "$(id -u):$(id -g)" \
-v "$PWD:/work" -w /work \
<image-with-a-local-model-and-agent-cli> agent-cli -p "<the loop prompt>"
```
`podman` substitutes unchanged. `--network none` cuts every hosted API too, so this example requires
the image to contain its model and agent runtime. A hosted-model loop needs a separately reviewed
egress policy and is outside this recipe. Web search and fetch, every remote MCP server and every
package install remain unavailable. Losing all of it is the point when the task parses input you
did not write: a path the loop lacks cannot be talked into opening.
## Which one
Built-in sandbox for daily work: a settings change, every tool still works, the OS still enforces
the boundary. Container for a loop that runs while you sleep, a repo whose build scripts you have
not read, or anything handling untrusted content. Neither isolates branches — run inside a
worktree as well, per the `worktree-per-agent` skill.
Review the source
Price & running costs
- Get the skill
- Price unconfirmed
- Run it
- Requirements have not been confirmed. Check the source for agent, API and service charges.
- License
- MIT
- Price unconfirmed
- We have not confirmed a price for this skill. Existing source and install links remain available.
Free to get does not mean free to run. Price labels are not safety ratings. Submit pricing information →
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: MIT
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Low GitHub adoption signal
- AI review approval is missing
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 24 GitHub stars
- Stars/forks activity: 24 stars, 4 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Review status: AI review approval is missing
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Start with one small task
- 1Read the source. Confirm the input, expected output, dependencies and permissions.
- 2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
- 3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Source & usage notes
IndexedStatic Checked
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
- Source repository
- JakeSelby/model-citizen
- License
- MIT
- Version
- Unknown
- Last GitHub push
- Oct 6, 2026
- Registry updated
- Oct 6, 2026
Version reported in registry metadata; check source releases before relying on it.
Quality
55/100
Promising
Trust
57/100
Do not auto-install
Audit
70/100
Needs review
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Low GitHub adoption signal
- AI review approval is missing
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 24 GitHub stars
- Stars/forks activity: 24 stars, 4 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Review status: AI review approval is missing
- Verified installs
- —
- Outcomes
- —
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.
Agent access
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
More details
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}For the creator
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- Creator
- JakeSelby
- Source
- JakeSelby/model-citizen
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