Guardrails

Interactively configure, review, and monitor security guardrails for your OpenClaw workspace by discovering risks, interviewing users, and generating GUARDRA...

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skill

Security & Privacy

intermediate

2,170 installs

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Last updated: April 29, 2026

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Quick Start

Manual Installation

No automatic installation available. Please visit the source repository for installation instructions.

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guardrails - Interactive Security Guardrails Configuration

Helps users configure comprehensive security guardrails for their OpenClaw workspace through an interactive interview process.

Commands

guardrails setup

Interactive setup mode - Guides user through creating their GUARDRAILS.md file.

Workflow:

Run environment discovery:
```
bash scripts/discover.sh
```

Classify risks:

bash scripts/discover.sh | python3 scripts/classify-risks.py

Generate tailored questions:

bash scripts/discover.sh | python3 scripts/classify-risks.py | python3 scripts/generate_questions.py

Conduct interactive interview with the user:
- Ask questions from the generated question bank (tailored to discovered environment)
- Present suggestions for each question
- Allow custom answers
- Follow up when appropriate

Generate GUARDRAILS.md:

echo '<json>' | python3 scripts/generate_guardrails_md.py /path/to/guardrails-config.json

Stdin JSON format:

{"discovery": {...}, "classification": {...}, "answers": {...}}

Present the generated GUARDRAILS.md for review
Ask for confirmation before writing to workspace
Write
```
GUARDRAILS.md
```
to workspace root
Save
```
guardrails-config.json
```
to workspace root

Important:

Be conversational and friendly during the interview
Explain why each question matters
Provide context about discovered risks
Highlight high-risk skills/integrations
Allow users to skip or customize any answer
Review the final output with the user before writing

guardrails review

Review mode - Check existing configuration against current environment.

Workflow:

Run discovery and classification
Load existing
```
guardrails-config.json
```
Compare discovered skills/integrations against config
Identify gaps (new skills not covered, removed skills still in config)
Ask user about gaps only - don't re-interview everything
Update config and GUARDRAILS.md if changes needed

guardrails monitor

Monitor mode - Detect changes and potential violations.

Workflow:

Run:
```
bash scripts/monitor.sh
```
Parse the JSON report
If status is "ok": silent or brief acknowledgment
If status is "needs-attention": notify user with details
If status is "review-recommended": suggest running
```
guardrails review
```

Can be run manually or via cron/heartbeat.

Files Generated

GUARDRAILS.md - The main guardrails document (workspace root)
guardrails-config.json - Machine-readable config for monitoring (workspace root)

Notes

This skill only helps create guardrails - enforcement is up to the agent
Discovery (
```
discover.sh
```
) uses bash + jq; classification (
```
classify-risks.py
```
) uses Python standard library only
Question generation and GUARDRAILS.md generation require an LLM — set
```
OPENAI_API_KEY
```
or
```
ANTHROPIC_API_KEY
```
Python scripts require the
```
requests
```
library (
```
pip install requests
```
)
Discovery and classification are read-only operations
Only
```
setup
```
and
```
review
```
modes write files, and only with user confirmation

Guardrails

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Quick Start

Manual Installation

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Tags

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guardrails - Interactive Security Guardrails Configuration

Commands

`guardrails setup`

`guardrails review`

`guardrails monitor`

Files Generated

Notes

SkillSpector (skill security scanner)

Check Aws Security

Check Privacy

AddressSanitizer (Trail of Bits)

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