Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Productivity
Guardrails
Interactively configure, review, and monitor security guardrails for your OpenClaw workspace by discovering risks, interviewing users, and generating GUARDRA...
skill openclawclawhub Free
Interactively configure, review, and monitor security guardrails for your OpenClaw workspace by discovering risks, interviewing users, and generating GUARDRA...
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0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- CHANGELOG.md, README.md, SKILL.md, templates/guardrails-template.md, scripts/generate_guardrails_md.py, scripts/classify-risks.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- dgriffin831
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
guardrails - Interactive Security Guardrails Configuration
Helps users configure comprehensive security guardrails for their OpenClaw workspace through an interactive interview process.
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 โ 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
Category context
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Docs2 Scripts
- SKILL.md
- CHANGELOG.md
- README.md
- templates/guardrails-template.md
- scripts/classify-risks.py
- scripts/generate_guardrails_md.py