
sandbox-guard
Generate Docker sandbox configurations for safely running untrusted OpenClaw skills. Isolates filesystem, network, and process access.
- Installs
- 484
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/useai-pro/openclaw-skills-security --skill sandbox-guard- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads sandbox-guard automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Sandbox Guard
You are a sandbox configuration generator for OpenClaw. When a user wants to run an untrusted skill, you generate a secure Docker-based sandbox that isolates the skill from the host system.
Why Sandbox
OpenClaw skills run with the permissions they request. A malicious skill with shell access can compromise your entire system. Sandboxing limits the blast radius.
Sandbox Profiles
Profile: Minimal (for read-only skills)
FROM node:20-alpine
RUN adduser -D -h /workspace openclaw
WORKDIR /workspace
USER openclaw
# No network, no elevated privileges
# Mount project as read-only
docker run --rm \
--network none \
--read-only \
--tmpfs /tmp:size=64m \
--cap-drop ALL \
--security-opt no-new-privileges \
-v "$(pwd):/workspace:ro" \
openclaw-sandbox
Profile: Standard (for read/write skills)
FROM node:20-alpine
RUN adduser -D -h /workspace openclaw
WORKDIR /workspace
USER openclaw
docker run --rm \
--network none \
--cap-drop ALL \
--security-opt no-new-privileges \
--memory 512m \
--cpus 1 \
--pids-limit 100 \
-v "$(pwd):/workspace" \
openclaw-sandbox
Profile: Network (for skills needing API access)
FROM node:20-alpine
RUN adduser -D -h /workspace openclaw
WORKDIR /workspace
USER openclaw
docker run --rm \
--cap-drop ALL \
--security-opt no-new-privileges \
--memory 512m \
--cpus 1 \
--pids-limit 100 \
--dns 1.1.1.1 \
-v "$(pwd):/workspace" \
openclaw-sandbox
Note: Network-enabled sandboxes still prevent privilege escalation and limit resources. For additional security, use --network with a custom Docker network that restricts outbound traffic to specific domains.
Configuration Generator
When the user provides a skill's permissions, generate the appropriate sandbox:
Input
Skill: <name>
Permissions: fileRead, fileWrite, network, shell
Output
- Dockerfile — minimal base image, non-root user
- docker run command — with all security flags
- docker-compose.yml — for repeated use
Security Flags (always include)
| Flag | Purpose |
|---|---|
--cap-drop ALL | Remove all Linux capabilities |
--security-opt no-new-privileges | Prevent privilege escalation |
--read-only | Read-only filesystem (if no fileWrite) |
--network none | Disable network (if no network permission) |
--memory 512m | Limit memory usage |
--cpus 1 | Limit CPU usage |
--pids-limit 100 | Limit number of processes |
--tmpfs /tmp:size=64m | Temporary writable space |
USER openclaw | Run as non-root user |
Rules
- Always default to the most restrictive profile
- Never generate a sandbox with
--privilegedflag - Never mount the Docker socket (
/var/run/docker.sock) - Never mount sensitive host directories (
~/.ssh,~/.aws,/etc) - Always use
--cap-drop ALL— never grant individual capabilities unless explicitly justified - Include resource limits to prevent DoS (memory, CPU, pids)
- If the skill needs
shell, warn the user and suggest monitoring the sandbox output - Write generated files only to a dedicated output folder (e.g.,
.openclaw/sandbox/) — never overwrite existing project files - Require user confirmation before writing any file to disk — present the generated content for review first
FAQ
What does the sandbox-guard skill do?
Generate Docker sandbox configurations for safely running untrusted OpenClaw skills. Isolates filesystem, network, and process access.
How do I install sandbox-guard?
Run npx skills add https://github.com/useai-pro/openclaw-skills-security --skill sandbox-guard in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/sandbox-guard/ (personal) or .claude/skills/sandbox-guard/ (project).
Which AI agents can use sandbox-guard?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is sandbox-guard safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains sandbox-guard?
It is published by useai-pro in useai-pro/openclaw-skills-security. It has 484 recorded installs.
More from useai-pro/openclaw-skills-security
skill-vetter
useai-pro/openclaw-skills-security
Security-first vetting for OpenClaw skills. Use before installing any skill from ClawHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
skill-auditor
useai-pro/openclaw-skills-security
Comprehensive security auditor for OpenClaw skills. Checks for typosquatting, dangerous permissions, prompt injection, supply chain risks, and data exfiltration patterns — before you install anything.
skill-guard
useai-pro/openclaw-skills-security
Runtime security monitor for active OpenClaw skills. Watches file access, network calls, and shell commands. Flags anomalous behavior and enforces permission boundaries.
prompt-guard
useai-pro/openclaw-skills-security
Detect and neutralize prompt injection attacks in OpenClaw skill content, user inputs, and external data sources. Prevents instruction hijacking and context manipulation.
credential-scanner
useai-pro/openclaw-skills-security
Scan your project for exposed credentials, API keys, and secrets before running OpenClaw skills. Prevents accidental exfiltration.
dependency-auditor
useai-pro/openclaw-skills-security
Audit npm, pip, and Go dependencies that OpenClaw skills try to install. Checks for known vulnerabilities, typosquatting, and malicious packages.
Popular devops & cloud skills
microsoft-foundry
microsoft/azure-skills
Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, managed harness agent create, GitHub Copilot harness agent, create agent, update agent, add tool to agent, invoke agent, agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure
azure-diagnostics
microsoft/azure-skills
Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.
azure-prepare
microsoft/azure-skills
Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.
azure-ai
microsoft/azure-skills
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
azure-deploy
microsoft/azure-skills
Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.
azure-validate
microsoft/azure-skills
Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.