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.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionsandbox-guardExecute the skills CLI command in your project's root directory to begin installation:
Fetches sandbox-guard from useai-pro/openclaw-skills-security and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate sandbox-guard. Access via /sandbox-guard in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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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.
OpenClaw skills run with the permissions they request. A malicious skill with shell access can compromise your entire system. Sandboxing limits the blast radius.
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 "$(pwd):/workspace:ro" \
openclaw-sandbox
FROM node:20-alpine
RUN adduser -D -h /workspace openclaw
WORKDIR /workspace
USER openclaw
docker run --rm \
--network none \
--cap-drop ALL \
--security-opt no-new-privileges \
--memory 512m \
--cpus 1 \
--pids-limit 100 \
-v "$(pwd):/workspace" \
openclaw-sandbox
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.
When the user provides a skill's permissions, generate the appropriate sandbox:
Skill: <name>
Permissions: fileRead, fileWrite, network, shell
| 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 |
--privileged flag/var/run/docker.sock)~/.ssh, ~/.aws, /etc)--cap-drop ALL — never grant individual capabilities unless explicitly justifiedshell, warn the user and suggest monitoring the sandbox output.openclaw/sandbox/) — never overwrite existing project filesMake data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
Useful defaults in sandbox-guard — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
sandbox-guard fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added sandbox-guard from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
sandbox-guard has been reliable in day-to-day use. Documentation quality is above average for community skills.
sandbox-guard reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend sandbox-guard for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: sandbox-guard is the kind of skill you can hand to a new teammate without a long onboarding doc.
sandbox-guard is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in sandbox-guard — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend sandbox-guard for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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