infrastructure/local-ai/openclaw-security-hardening/SKILL.md
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.
npx skillsauth add bagelhole/devops-security-agent-skills openclaw-security-hardeningInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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Do not publish raw OpenClaw service ports directly to the internet.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:
development
Design and operationalize SRE dashboards that surface reliability, latency, error, saturation, and capacity signals across services. Use when building observability views for SLOs, incident response, and executive reliability reporting.
devops
Deploy, manage, and optimize vector databases for AI applications. Covers Qdrant, Weaviate, pgvector, and Pinecone — collection management, indexing strategies, backup, and performance tuning for production RAG and semantic search workloads.
testing
Deploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server. Includes canary deployments, autoscaling, model versioning, A/B testing, and GPU resource management for production model serving.
development
Reduce LLM API and infrastructure costs through model selection, prompt caching, batching, caching, quantization, and self-hosting strategies. Track spend by team and model, set budgets, and implement cost-aware routing.