Docker Agent Run
DockerOfficialPublished by Docker
- Skill
- Tool integration
- Software development
- Apache-2.0
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AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill provides the operational framework for running Docker Agents. It covers the full lifecycle of agent execution, including interactive and headless runs, safety and approval configurations, sandbox isolation for secure execution, and diagnostic procedures for resolving common runtime issues like credential or network policy failures.
What it does
- Executes agents using docker agent run with support for interactive or headless modes.
- Configures safety and tool-call approval modes including strict, balanced, restricted, and autonomous.
- Manages sandbox isolation via the --sandbox flag to run agents in secure microVMs.
- Handles network allowlisting for sandbox environments to resolve connectivity issues.
- Provides shortcuts through agent aliasing and git worktree management for isolated file edits.
- Diagnoses runtime failures such as missing credentials or model availability using docker agent doctor.
When to use it
- When you need to run an agent interactively or in a headless CI/CD environment.
- When you need to restrict an agent's ability to execute tool calls for security.
- When you encounter network policy errors or need to isolate an agent's filesystem access.
- When you need to troubleshoot why an agent cannot access a model or API key.
- When you want to create reusable shortcuts for specific agent configurations.
Advantages
- Ensures secure execution by providing granular control over tool-call approvals.
- Prevents host system contamination through microVM-based sandbox isolation.
- Simplifies complex agent invocations with persistent aliases and worktree management.
- Provides clear diagnostic paths for common configuration and environment issues.
Usage examples
- “Run my agent in restricted mode for a CI pipeline.”
- The agent executes with --safety restricted, ensuring unreviewed tool calls are denied rather than executed.
- “Why is my agent failing to connect to my internal API?”
- The agent identifies a network policy block and suggests using docker agent sandbox allow to add the host to the allowlist.
- “Create a shortcut for my coder agent with balanced safety.”
- Registers an alias using docker agent alias add that defaults to balanced safety mode for future runs.
- “Check why my agent says the model is not available.”
- Runs docker agent doctor to verify credential resolution and model availability, providing actionable steps to fix the environment.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/docker/docker-agent-run/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip docker-agent-run.zip -d .agents/skills
Documentation by Docker
Docker Agent: Running and Operating Agents
Overview
This skill owns the operational side of Docker Agent: invoking docker agent run against a local config, an alias, or a registry reference; choosing how
much autonomy the agent gets over tool calls; isolating it in a sandbox VM;
and diagnosing why a run fails. It assumes the agent.yaml already exists —
see Related skills for authoring it.
When to use this skill
Activate this skill when:
The user wants to run an agent interactively or headlessly (
--exec).The user is choosing or debugging
--safety,--yolo, or approval behavior for tool calls.The user wants to isolate an agent's shell/filesystem access with
--sandbox, or hit a sandbox network-policy error.The user wants a reusable shortcut (
docker agent alias), a scoped git worktree (--worktree), or is debugging credentials/model availability (docker agent doctor).
Do not use this skill when
Do not use this skill when:
The task uses standalone
sbx run/create/stop/rmrather thandocker agent run --sandbox— usedocker-sandboxes-lifecycle.The task is standalone
sbx policyorsbx secretconfiguration — usedocker-sandboxes-network-credentials. Establish which CLI is in use before recommending commands when the request only says "my sandbox".The task is writing or editing the
agent.yamlitself (models, toolsets, sub_agents) — usedocker-agent-config.The task is exposing an agent as a server (
serve), sharing it via a registry (share), or evaluating it (evaluation sessions,--baselineregression gates) — usedocker-agent-deploy.
Core guidance
Safety modes
docker agent runsupports four--safetymodes; choose the least permissive one that still lets the task finish:strict— ask for approval before every tool call.balanced— auto-approve calls classified as safe, ask for the rest.restricted— auto-approve safe calls, deny the rest outright. Use for unattended/CI runs where no human can answer a prompt.autonomous— approve everything automatically. Equivalent to--yolo.
Never default an unattended run (cron, CI, a server endpoint) to
autonomous/--yolo. Userestrictedfor unattended runs so an unexpected tool call fails closed instead of running unreviewed; reserveautonomous/--yolofor a sandboxed or fully trusted interactive session.# CI-safe: unreviewed tool calls are denied, not silently approved. docker agent run --exec --safety restricted ./agent.yaml "Triage the failing test"Bake a safety default into an alias so callers don't have to remember it, and note that an explicit CLI
--safety/--yoloondocker agent runstill overrides the alias:docker agent alias add safe-coder myorg/coder --safety balanced
Sandbox isolation
--sandboxruns the agent inside an isolated microVM managed by thesbxCLI (a separate prerequisite — install and configure it first). All shell, filesystem, and process activity started by built-in toolsets happens inside the VM; only the working directory (and, unless--no-kit, a staged "kit" of skills/prompt files) is mounted in. Exception: a local stdio MCP server declared on the agent runs as a host process outside the sandbox VM — treat any such MCP server as a trusted host integration, not a sandboxed one.docker agent run --sandbox ./agent.yamlThe sandbox network proxy is default-deny: only the model provider,
models.dev, and hosts the toolset resolver can infer are open. A custom MCP server or third-party API often needs an explicit allowlist entry — add it permanently rather than re-discovering it every run:docker agent sandbox allow api.example.com docker agent sandbox list docker agent sandbox deny api.example.comPrefer baking
runtime: {sandbox: true}into the agent's ownagent.yamlover remembering--sandboxon every invocation of that agent; an explicit--sandbox=falseon the CLI still overrides the config default for a single debug run.Sandboxes persist and are reused across runs from the same workspace — they are not torn down when the session ends. Don't expect a clean VM on every run; if you need one, change the mount set (e.g. a new kit) to force recreation.
Aliases and default agent
Register a shortcut once, then run it by name instead of a path:
docker agent alias add code myorg/notion-expert docker agent run codeFor a local run with no agent argument,
docker agent rundiscoversdocker-agent.yaml, thendocker-agent.yml, thendocker-agent.hclin the current directory (first match wins). Only if none exists does it resolve thedefaultalias, falling back to the built-in default agent. Theagent.yamlexamples in these skills pass a filename explicitly;agent.yamlis not an auto-discovery name.Set the fallback for directories without a project config with a
defaultalias. To select it even when a project config exists, passdefaultexplicitly:docker agent alias add default ./my-agent.yaml docker agent run defaultCLI flags on
docker agent run <alias>always override the alias's own stored options (e.g.docker agent run yolo-coder --yolo=false).
Worktrees
Use
--worktree(-w) to isolate an agent's file edits from your current checkout — it runs the agent inside a fresh git worktree. For an interactive session, a clean worktree (no uncommitted changes, untracked files, or new commits) is removed automatically when the session ends; one with work prompts you to keep or remove. A headless run (--exec) never auto-cleans its worktree, regardless of state — it is left in place for inspection:docker agent run ./agent.yaml --worktree=auth-refactor --worktree-base origin/main--worktreecannot be combined with--remoteor--sandbox. To resume a worktree run, pass--session -1(or the session id) — do not re-pass--worktree, which fails because the worktree already exists.
Troubleshooting
"No model is currently available" or "model ... is not pulled" means the agent's provider has no usable credential, or (for
dmr/) the model hasn't been pulled. Rundocker agent doctor ./agent.yamlfirst — it reports the resolved model/provider and whether credentials were found — before touching the YAML. If credentials are missing, export the provider's API key; if a DMR model is missing, rundocker model pull <model>. Rerundoctorbefore retrying the task.An agent that only describes a plan instead of executing it is usually missing the tool it needs (add
type: shellortype: todoinagent.yaml), not a model failure — hand this back todocker-agent-config.A
403 Blocked by network policyerror inside a sandbox run means the destination isn't allowlisted; usedocker agent sandbox allow <host>.
Related skills
For standalone
sbxlifecycle commands, usedocker-sandboxes-lifecycle.For standalone
sbx policyandsbx secret, usedocker-sandboxes-network-credentials.For writing or changing the underlying
agent.yaml(models, toolsets, sub_agents), usedocker-agent-config.For serving, sharing, or evaluating the agent, use
docker-agent-deploy.
References
references/safety-and-sandbox.md— full safety-mode/flag interaction table and sandbox trust-boundary details.references/sources.md— provenance of every rule in this skill.
Assets
None.
Checks
checks/verification.md— Verification runbook for adocker agent runinvocation.
Files
- ATTRIBUTION.mdAdded by AutoGineer824 B
- LICENSELicence file added by AutoGineer11.1 KiB
- SKILL.md8.5 KiB
- agents/openai.yaml404 B
- checks/verification.md1.7 KiB
- references/safety-and-sandbox.md2.1 KiB
- references/sources.md1.6 KiB
- skill.yaml1.1 KiB
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Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Needs an MCP server, Needs an API key, Needs a command-line tool
The author says: Requires the docker-agent CLI plugin (Docker Desktop 4.63+, or standalone via Homebrew/GitHub releases). Sandbox mode (`--sandbox`) additionally requires the `sbx` CLI. Verified against docker-agent as shipped with Docker CLI 29.7.2.
Security
No issues found by our static scan· No issues found
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Published by
- Docker
- Publisher
- Docker (Official)
- Source
- docker/skills · skills/docker-agent-run · commit 9f04a05
- Licence
- Apache License 2.0 (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by Docker or Docker.
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The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download docker-agent-run.zip