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By BagelHole
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Manage secrets and PKI with HashiCorp Vault. An agent skill from BagelHole/DevOps-Security-Agent-Skills. | BagelHole/ | 1.1k | — | ~2k | Automated safety check: Pass | MIT | 4 mo ago |
| 2 | Handle security incidents with IR playbooks and procedures. An agent skill from BagelHole/DevOps-Security-Agent-Skills. | BagelHole/ | 1.1k | — | ~4.5k | Automated safety check: Pass | MIT | 4 mo ago |
| 3 | Deploy, scale, and manage Kubernetes workloads. An agent skill from BagelHole/DevOps-Security-Agent-Skills. | BagelHole/ | 1.1k | — | ~2.3k | Automated safety check: Pass | MIT | 4 mo ago |
| 4 | Apply CIS benchmarks and secure Linux servers. An agent skill from BagelHole/DevOps-Security-Agent-Skills. | BagelHole/ | 1.1k | — | ~662 | Automated safety check: Notes | MIT | 4 mo ago |
| 5 | Set up metrics collection and visualization with Prometheus and Grafana. | BagelHole/ | 1.1k | — | ~2.5k | Automated safety check: Pass | MIT | 4 mo ago |
| 6 | Scan systems and dependencies for CVEs and security vulnerabilities. | BagelHole/ | 1.1k | — | ~2.4k | Automated safety check: Pass | MIT | 4 mo ago |
| 7 | Implement GitOps with ArgoCD for declarative Kubernetes deployments. | BagelHole/ | 1.1k | — | ~2.4k | Automated safety check: Pass | MIT | 4 mo ago |
| 8 | Store and rotate secrets in AWS Secrets Manager. An agent skill from BagelHole/DevOps-Security-Agent-Skills. | BagelHole/ | 1.1k | — | ~3.7k | Automated safety check: Pass | MIT | 4 mo ago |
| 9 | Secure Docker images and container runtime configurations. An agent skill from BagelHole/DevOps-Security-Agent-Skills. | BagelHole/ | 1.1k | — | ~529 | Automated safety check: Pass | MIT | 4 mo ago |
| 10 | Define and run multi-container Docker applications using Docker Compose. | BagelHole/ | 1.1k | — | ~2k | Automated safety check: Notes | MIT | 4 mo ago |
| 11 | Build, optimize, and troubleshoot Docker containers and images. | BagelHole/ | 1.1k | — | ~2k | Automated safety check: Pass | MIT | 4 mo ago |
| 12 | 12.Elk Stack Deploy and manage the ELK Stack (Elasticsearch, Logstash, Kibana) for log aggregation and analysis. | BagelHole/ | 1.1k | — | ~2.3k | Automated safety check: Pass | MIT | 4 mo ago |
| 13 | Build, test, and deploy applications using GitHub Actions workflows. | BagelHole/ | 1.1k | — | ~1.7k | Automated safety check: Pass | MIT | 4 mo ago |
| 14 | 14.Helm Charts Create, manage, and deploy Helm charts for Kubernetes package management. | BagelHole/ | 1.1k | — | ~2.4k | Automated safety check: Pass | MIT | 4 mo ago |
| 15 | 15.Jenkins Create and manage Jenkins CI/CD pipelines, configure agents, manage plugins, and automate builds. | BagelHole/ | 1.1k | — | ~2.3k | Automated safety check: Pass | MIT | 4 mo ago |
| 16 | Perform static application security testing with tools like Semgrep, CodeQL, and SonarQube. | BagelHole/ | 1.1k | — | ~2.2k | Automated safety check: Pass | MIT | 4 mo ago |
| 17 | Set up alerting rules, configure on-call rotations, and manage incident response workflows. | BagelHole/ | 1.1k | — | ~3k | Automated safety check: Pass | MIT | 4 mo ago |
| 18 | 18.Azure Devops Set up Azure Pipelines for CI/CD, configure build and release pipelines, manage Azure DevOps projects, and integrate with Azure services. | BagelHole/ | 1.1k | — | ~2.1k | Automated safety check: Notes | MIT | 4 mo ago |
| 19 | Configure zero-downtime deployment strategies including blue-green, canary, and rolling deployments. | BagelHole/ | 1.1k | — | ~2.8k | Automated safety check: Pass | MIT | 4 mo ago |
| 20 | 20.Circleci Configure CircleCI workflows and orbs for continuous integration and deployment. | BagelHole/ | 1.1k | — | ~2.1k | Automated safety check: Pass | MIT | 4 mo ago |
| 21 | Audit and remediate CIS benchmark violations. An agent skill from BagelHole/DevOps-Security-Agent-Skills. | BagelHole/ | 1.1k | — | ~618 | Automated safety check: Pass | MIT | 4 mo ago |
| 22 | Implement feature flags for progressive feature rollout using LaunchDarkly, Unleash, or custom solutions. | BagelHole/ | 1.1k | — | ~2.8k | Automated safety check: Pass | MIT | 4 mo ago |
| 23 | 23.Git Workflow Implement Git branching strategies, PR workflows, and release management patterns. | BagelHole/ | 1.1k | — | ~2.3k | Automated safety check: Pass | MIT | 4 mo ago |
| 24 | Implement Kubernetes security contexts, Pod Security Standards, and network policies. | BagelHole/ | 1.1k | — | ~632 | Automated safety check: Pass | MIT | 4 mo ago |
| 25 | 25.Kustomize Customize Kubernetes manifests without templating using Kustomize. | BagelHole/ | 1.1k | — | ~2.1k | Automated safety check: Pass | MIT | 4 mo ago |
| 26 | 26.Loki Logging Configure Grafana Loki for log aggregation and analysis. An agent skill from BagelHole/DevOps-Security-Agent-Skills. | BagelHole/ | 1.1k | — | ~2.4k | Automated safety check: Pass | MIT | 4 mo ago |
| 27 | Secure OpenClaw deployments with preflight hardening checks, CI/CD guardrails, container runtime restrictions, and post-deploy verification. | BagelHole/ | 1.1k | — | ~822 | Automated safety check: Pass | MIT | 4 mo ago |
| 28 | Harden OpenClaw self-hosted environments with baseline host controls, auth tightening, secret handling, network segmentation, and safe update/rollback workflows. | BagelHole/ | 1.1k | — | ~1k | Automated safety check: Notes | MIT | 4 mo ago |
| 29 | 29.Openshift Manage Red Hat OpenShift clusters and deployments. An agent skill from BagelHole/DevOps-Security-Agent-Skills. | BagelHole/ | 1.1k | — | ~2.2k | Automated safety check: Pass | MIT | 4 mo ago |
| 30 | Instrument applications and infrastructure with OpenTelemetry for unified traces, metrics, and logs. | BagelHole/ | 1.1k | — | ~3.6k | Automated safety check: Pass | MIT | 4 mo ago |
| 31 | 31.Podman Manage containers using Podman, the daemonless container engine. | BagelHole/ | 1.1k | — | ~1.9k | Automated safety check: Notes | MIT | 4 mo ago |
| 32 | Automate versioning and changelog generation using semantic versioning principles. | BagelHole/ | 1.1k | — | ~2.7k | Automated safety check: Pass | MIT | 4 mo ago |
| 33 | Encrypt files and configs with Mozilla SOPS. An agent skill from BagelHole/DevOps-Security-Agent-Skills. | BagelHole/ | 1.1k | — | ~539 | Automated safety check: Pass | MIT | 4 mo ago |
| 34 | Design and operationalize SRE dashboards that surface reliability, latency, error, saturation, and capacity signals across services. | BagelHole/ | 1.1k | — | ~903 | Automated safety check: Pass | MIT | 4 mo ago |
| 35 | Deploy frontend and full-stack apps on Vercel with previews, edge functions, environment promotion, and production guardrails. | BagelHole/ | 1.1k | — | ~1.8k | Automated safety check: Notes | MIT | 4 mo ago |
| 36 | Manage and secure company devices with MDM solutions — enroll macOS, Windows, iOS, and Android devices, enforce security policies, and automate software deployment. | BagelHole/ | 1.1k | — | ~5.7k | Automated safety check: Notes | MIT | 4 mo ago |
| 37 | Harden AI/LLM deployments against prompt injection, data exfiltration, model theft, and supply chain attacks. | BagelHole/ | 1.1k | — | ~2.5k | Automated safety check: Pass | MIT | 4 mo ago |
| 38 | 38.LLM Gateway Deploy an API gateway for LLM traffic with load balancing, rate limiting, key management, semantic caching, fallback routing, and cost tracking. | BagelHole/ | 1.1k | — | ~2k | Automated safety check: Pass | MIT | 4 mo ago |
| 39 | Auto-scale LLM inference clusters on Kubernetes using KEDA, custom GPU metrics, and horizontal pod autoscaling. | BagelHole/ | 1.1k | — | ~2k | Automated safety check: Pass | MIT | 4 mo ago |
| 40 | Orchestrate AI/ML pipelines for data ingestion, model training, batch inference, and RAG indexing using Prefect, Airflow, or Dagster. | BagelHole/ | 1.1k | — | ~2.3k | Automated safety check: Pass | MIT | 4 mo ago |
| 41 | Reduce LLM API and infrastructure costs through model selection, prompt caching, batching, caching, quantization, and self-hosting strategies. | BagelHole/ | 1.1k | — | ~2.2k | Automated safety check: Pass | MIT | 4 mo ago |
| 42 | 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. | BagelHole/ | 1.1k | — | ~2.2k | Automated safety check: Pass | MIT | 4 mo ago |
| 43 | Deploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server. | BagelHole/ | 1.1k | — | ~2.1k | Automated safety check: Pass | MIT | 4 mo ago |
| 44 | Build and operate Retrieval-Augmented Generation (RAG) infrastructure with vector stores, embedding pipelines, and hybrid search. | BagelHole/ | 1.1k | — | ~2.1k | Automated safety check: Pass | MIT | 4 mo ago |
