Skill: dgriffin831/guardrails (version 1.0.1)

# 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:** 1. Run environment discovery: `bash scripts/discover.sh` 2. Classify risks: `bash scripts/discover.sh | python3 scripts/classify-risks.py` 3. Generate tailored questions: `bash scripts/discover.sh | python3 scripts/classify-risks.py | python3 scripts/generate_questions.py` 4. **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 5. Generate GUARDRAILS.md: `echo '<json>' | python3 scripts/generate_guardrails_md.py /path/to/guardrails-config.json` - Stdin JSON format: `{"discovery": {...}, "classification": {...}, "answers": {...}}` 6. **Present the generated GUARDRAILS.md for review** 7. Ask for confirmation before writing to workspace 8. Write `GUARDRAILS.md` to workspace root 9. 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:** 1. Run discovery and classification 2. Load existing `guardrails-config.json` 3. Compare discovered skills/integrations against config 4. Identify gaps (new skills not covered, removed skills still in config) 5. Ask user about gaps only - don't re-interview everything 6. Update config and GUARDRAILS.md if changes needed ### `guardrails monitor` **Monitor mode** - Detect changes and potential violations. **Workflow:** 1. Run: `bash scripts/monitor.sh` 2. Parse the JSON report 3. If status is "ok": silent or brief acknowledgment 4. If status is "needs-attention": notify user with details 5. 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


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: suspicious | SkillSpector: suspicious (CRITICAL)