access-review
FreeConduct periodic access reviews and certifications. Implement access governance and recertification workflows. Use when managing access compliance.
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Harden OpenClaw self-hosted environments with baseline host controls, auth tightening, secret handling, network segmentation, and safe update/rollback workflows. Use when deploying OpenClaw in home labs, startups, or production-like local AI infrastructure.
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See how to installReview the instructions the agent will receive before you install.
Use this skill to reduce exposure in self-hosted OpenClaw deployments before opening access to teammates or external networks.
Map the highest-risk assets and paths:
Prioritize controls that reduce credential theft, remote code execution blast radius, and data exfiltration.
Example Linux baseline checks:
id openclaw
sudo ss -tulpn
sudo ufw status verbose
sudo systemctl --failed
Example reverse proxy controls to enforce:
.env files.Rotation checklist:
Use layered access patterns:
Do not publish raw OpenClaw service ports directly to the internet.
Minimum operational runbook:
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Conduct periodic access reviews and certifications. Implement access governance and recertification workflows. Use when managing access compliance.
The English summary is being prepared. Showing the original description.
Build automated evaluation suites for AI agents using golden datasets, rubrics, and regression gates. Use when shipping agent features, validating prompt changes, or gating deployments on quality.
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Instrument AI agents with tracing, token metrics, latency, and cost visibility. Use for reliability and debugging.
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Secure AI agents against prompt injection, tool abuse, and data exfiltration with defense-in-depth controls. Use when building, deploying, or hardening agentic AI systems that invoke tools, access data, or interact with production infrastructure.
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Secure AI coding agents (Claude Code, Cursor, Codex, Copilot) with permission boundaries, secret protection, code review gates, and safe sandbox configurations for team environments.
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Use service mesh patterns for AI inference traffic management, mTLS, canary releases, policy enforcement, and cross-cluster resilience.
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