BagelHole/DevOps-Security-Agent-Skills - Page 3

dns-management

Configure DNS zones and records. Manage Route53, Cloud DNS, and self-hosted DNS. Use when setting up DNS infrastructure.

Langue du texte source : anglais

load-balancing

Configure load balancers and traffic distribution. Implement health checks and SSL termination. Use when distributing traffic across servers.

Langue du texte source : anglais

reverse-proxy

Configure nginx and Traefik as reverse proxies. Implement SSL termination and routing. Use when setting up application gateways.

Langue du texte source : anglais

service-mesh

Implement Istio and Linkerd service meshes. Configure mTLS, traffic management, and observability. Use when managing microservices communication.

Langue du texte source : anglais

convex-backend

Build reactive backends with Convex functions, schema validation, auth integration, and deployment workflows. Use when building real-time apps with type-safe server functions and automatic caching.

Langue du texte source : anglais

firebase-app-platform

Build and operate apps on Firebase using Auth, Firestore, Cloud Functions, and Hosting. Use when building mobile/web backends with managed services, real-time data sync, or serverless APIs.

Langue du texte source : anglais

vercel-deployments

Deploy frontend and full-stack apps on Vercel with previews, edge functions, environment promotion, and production guardrails. Use when shipping Next.js, SvelteKit, or static sites with zero-config CI/CD.

Langue du texte source : anglais

linux-administration

System administration for Linux servers. Manage packages, services, and system configuration. Use when administering Linux systems.

Langue du texte source : anglais

performance-tuning

Optimize Linux system performance. Configure kernel parameters, analyze bottlenecks, and tune resources. Use when improving system performance.

Langue du texte source : anglais

ssh-configuration

Configure SSH servers and clients securely. Manage keys, tunnels, and config files. Use when setting up secure remote access.

Langue du texte source : anglais

systemd-services

Create and manage systemd services and timers. Configure service dependencies and resource limits. Use when managing system services.

Langue du texte source : anglais

user-management

Manage users, groups, and permissions on Linux systems. Configure sudo and access controls. Use when managing system access.

Langue du texte source : anglais

windows-server

Administer Windows Server systems. Manage IIS, Active Directory, and PowerShell automation. Use when administering Windows infrastructure.

Langue du texte source : anglais

backup-recovery

Implement backup and recovery strategies. Configure rsync, Restic, and cloud backups. Use when designing data protection solutions.

Langue du texte source : anglais

block-storage

Manage block storage volumes and LVM. Configure cloud block storage and local disks. Use when managing disk storage.

Langue du texte source : anglais

nfs-storage

Configure NFS servers and clients. Implement network file sharing for Linux systems. Use when setting up shared storage.

Langue du texte source : anglais

object-storage

Configure object storage with S3, GCS, and MinIO. Implement lifecycle policies and access controls. Use when managing object storage.

Langue du texte source : anglais

ai-agent-security

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.

Langue du texte source : anglais

ai-coding-agent-guardrails

Secure AI coding agents (Claude Code, Cursor, Codex, Copilot) with permission boundaries, secret protection, code review gates, and safe sandbox configurations for team environments.

Langue du texte source : anglais

ai-red-teaming

Run structured AI red team exercises for jailbreak resistance, data exfiltration risk, harmful output controls, and agent tool abuse resilience.

Langue du texte source : anglais

llm-app-security

Secure LLM-powered applications with input validation, output controls, tenant isolation, and abuse prevention.

Langue du texte source : anglais

mcp-server-security

Secure Model Context Protocol (MCP) servers with transport encryption, tool authorization, input validation, and audit logging for safe AI agent integrations.

Langue du texte source : anglais

model-supply-chain-security

Secure the AI model supply chain with artifact signing, provenance attestation, SBOM workflows, dependency controls, and trusted model promotion.

Langue du texte source : anglais

prompt-injection-defense

Defend AI systems against prompt injection and indirect prompt attacks using input controls, tool permissions, output validation, and isolation boundaries.

Langue du texte source : anglais

windows-hardening

Harden Windows servers per security baselines and CIS benchmarks. Configure Group Policy, Windows Defender, and security features. Use when securing Windows Server environments.

Langue du texte source : anglais

firewall-config

Configure iptables, nftables, and cloud firewalls. Implement network segmentation and traffic filtering. Use when securing network perimeters or implementing security zones.

Langue du texte source : anglais

ssl-tls-management

Manage SSL/TLS certificates with Let's Encrypt and internal PKI. Configure secure HTTPS, certificate renewal, and cipher suites. Use when implementing secure communications.

Langue du texte source : anglais

vpn-setup

Configure WireGuard, OpenVPN, and cloud VPNs. Implement secure remote access and site-to-site connectivity. Use when setting up secure network tunnels.

Langue du texte source : anglais

waf-setup

Deploy and tune Web Application Firewalls. Configure rules for OWASP Top 10 protection. Use when protecting web applications from common attacks.

Langue du texte source : anglais

zero-trust

Implement zero-trust network architecture. Configure identity-based access, micro-segmentation, and continuous verification. Use when implementing modern security architectures.

Langue du texte source : anglais

incident-response

Handle security incidents with IR playbooks and procedures. Implement detection, containment, eradication, and recovery processes. Use when responding to security events or building incident response capabilities.

Langue du texte source : anglais

threat-modeling

Conduct threat modeling using STRIDE methodology. Identify threats, assess risks, and design security controls. Use when designing secure systems or assessing application security.

Langue du texte source : anglais

sbom-supply-chain

Generate, sign, and verify SBOMs and provenance attestations to secure the software supply chain. Use when implementing SLSA controls, artifact trust policies, or compliance evidence for releases.

Langue du texte source : anglais

supply-chain-attack-response

Detect, respond to, and prevent software supply chain attacks on package registries, container images, and CI/CD pipelines with lockfile auditing, provenance verification, and emergency response playbooks.

Langue du texte source : anglais

aws-secrets-manager

Store and rotate secrets in AWS Secrets Manager. Configure automatic rotation, access policies, and application integration. Use when managing secrets in AWS environments or requiring automatic credential rotation.

Langue du texte source : anglais

azure-keyvault

Manage secrets and certificates in Azure Key Vault. Configure access policies, integrate with Azure services, and implement secure secret management. Use when managing secrets in Azure environments.

Langue du texte source : anglais

gcp-secret-manager

Secure secrets in Google Cloud Secret Manager. Configure IAM policies, integrate with GKE, and manage secret versions. Use when managing secrets in GCP environments.

Langue du texte source : anglais

openclaw-deployment-hardening

Secure OpenClaw deployments with preflight hardening checks, CI/CD guardrails, container runtime restrictions, and post-deploy verification. Use when shipping OpenClaw with Docker, Kubernetes, or automated release pipelines.

Langue du texte source : anglais

llm-fine-tuning

Set up infrastructure for fine-tuning LLMs with QLoRA, LoRA, and full fine-tuning using Hugging Face TRL, Axolotl, and distributed training with DeepSpeed or FSDP. Covers dataset prep, training runs, and model export.

Langue du texte source : anglais

llm-inference-scaling

Auto-scale LLM inference clusters on Kubernetes using KEDA, custom GPU metrics, and horizontal pod autoscaling. Handle traffic spikes, implement queue-based scaling, and optimize cost with spot instances for AI workloads.

Langue du texte source : anglais