guardrailsInteractively configure, review, and monitor security guardrails for your OpenClaw workspace by discovering risks, interviewing users, and generating GUARDRA...
Install via ClawdBot CLI:
clawdbot install dgriffin831/guardrailsHelps users configure comprehensive security guardrails for their OpenClaw workspace through an interactive interview process.
guardrails setupInteractive setup mode - Guides user through creating their GUARDRAILS.md file.
Workflow:
bash scripts/discover.shbash scripts/discover.sh | python3 scripts/classify-risks.pybash scripts/discover.sh | python3 scripts/classify-risks.py | python3 scripts/generate_questions.pyecho '' | python3 scripts/generate_guardrails_md.py /path/to/guardrails-config.json {"discovery": {...}, "classification": {...}, "answers": {...}}GUARDRAILS.md to workspace rootguardrails-config.json to workspace rootImportant:
guardrails reviewReview mode - Check existing configuration against current environment.
Workflow:
guardrails-config.jsonguardrails monitorMonitor mode - Detect changes and potential violations.
Workflow:
bash scripts/monitor.shguardrails reviewCan be run manually or via cron/heartbeat.
discover.sh) uses bash + jq; classification (classify-risks.py) uses Python standard library onlyOPENAI_API_KEY or ANTHROPIC_API_KEYrequests library (pip install requests)setup and review modes write files, and only with user confirmationGenerated Mar 1, 2026
A fintech company deploys an AI agent to handle customer inquiries about account balances and transaction histories. The guardrails skill ensures the agent cannot access sensitive financial data beyond user permissions and prevents unauthorized external integrations that could leak data.
A healthcare provider uses an AI agent to answer patient questions about symptoms and appointment scheduling. The skill configures guardrails to block the agent from providing medical diagnoses, ensuring compliance with HIPAA by restricting access to protected health information.
An online retailer implements an AI agent to process returns and handle product inquiries. Guardrails are set up to prevent the agent from modifying order details or accessing payment information, reducing fraud risk while maintaining efficient customer support.
A university deploys an AI agent to assist students with homework questions and course materials. The skill helps create guardrails that stop the agent from generating exam answers or accessing proprietary academic content, upholding academic integrity.
A manufacturing firm uses an AI agent to monitor supply chain data and predict delays. Guardrails are configured to restrict the agent from altering production schedules or integrating with unverified external APIs, ensuring operational stability.
Companies offer AI-powered customer support as a subscription service. The guardrails skill helps them customize security rules per client, ensuring data isolation and compliance with varying industry regulations to maintain service reliability.
Consulting firms use AI agents to analyze client data and generate reports. Guardrails enable secure configuration to prevent data breaches during analysis, allowing consultants to deliver insights without exposing sensitive information.
Large organizations deploy AI agents internally for tasks like HR onboarding or IT helpdesk. The skill assists in setting up guardrails that align with corporate policies, minimizing insider threats and ensuring agents operate within approved boundaries.
š¬ Integration Tip
Ensure the OPENAI_API_KEY or ANTHROPIC_API_KEY is set for question generation, and install the requests library in Python to run the scripts smoothly.
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