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Ops Devops Platform

Listed
vasilyu1983·vlatest·devops·MIT

Automates DevOps tasks across platforms like Jenkins, GitLab, and Kubernetes, streamlining deployments and infrastructure management.

Install on your platform

This skill no longer installs under the name ops-devops-platform. vasilyu1983/ai-agents-public is deleted or private, so it cannot be installed from.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

vasilyu1983

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 2 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 53 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: aws.amazon.com, backstage.io, cloud.google.com, codefresh.io, csrc.nist.gov….

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    kubernetes.ioundeclaredhelm.shundeclaredkustomize.ioundeclaredgateway-api.sigs.k8s.ioundeclaredgithub.comsource hostdeveloper.hashicorp.comundeclaredopentofu.orgundeclaredwww.pulumi.comundeclareddocs.aws.amazon.comundeclaredlearn.microsoft.comundeclaredterragrunt.gruntwork.ioundeclaredwww.terraformupandrunning.comundeclaredinfrastructure-as-code.comundeclaredaws.amazon.comundeclaredcloud.google.comundeclareddocs.docker.comundeclaredargo-cd.readthedocs.ioproject documentationfluxcd.ioundeclaredcodefresh.ioundeclareddocs.github.comundeclareddocs.gitlab.comundeclaredwww.jenkins.ioundeclaredtekton.devundeclareddocs.dagger.ioundeclaredopentelemetry.ioundeclaredprometheus.ioundeclaredgrafana.comundeclareddocs.datadoghq.comundeclaredwww.jaegertracing.ioundeclareddocs.cilium.ioundeclaredtetragon.ioundeclaredkafka.apache.orgundeclareddocs.confluent.ioundeclaredstrimzi.ioundeclaredsre.googleundeclaredwww.atlassian.comundeclaredsupport.atlassian.comundeclaredcsrc.nist.govundeclaredslsa.devundeclaredwww.sigstore.devundeclaredaquasecurity.github.ioproject documentationfalco.orgundeclaredowasp.orgundeclaredwww.cisecurity.orgundeclaredwww.openpolicyagent.orgundeclaredopen-policy-agent.github.ioproject documentationkyverno.ioundeclaredteamtopologies.comundeclaredlandscape.cncf.ioundeclaredbackstage.ioundeclareddocs.port.ioundeclareddocs.kratix.ioundeclaredwww.finops.orgundeclaredsupport.pagerduty.comundeclareddora.devundeclaredtag-app-delivery.cncf.ioundeclaredspiffe.ioundeclared

    What it found (3 of 72)

    • skills/universal/ops-devops-platform/data/sources.json:11contacts kubernetes.io
      "url": "https://kubernetes.io/docs/",
    • skills/universal/ops-devops-platform/data/sources.json:18contacts kubernetes.io
      "url": "https://kubernetes.io/releases/",
    • skills/universal/ops-devops-platform/data/sources.json:25contacts kubernetes.io
      "url": "https://kubernetes.io/releases/version-skew-policy/",
  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 2 places.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found

    • skills/universal/ops-devops-platform/assets/docker/template-docker-ops.md:62remote script piped into a shell
      - [ ] No `curl | bash`
    • skills/universal/ops-devops-platform/assets/security/template-security-hardening.md:114remote script piped into a shell
      - [ ] Avoid curl | bash
  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • Pinned to a commit: passed

    Scanned vasilyu1983/ai-agents-public at 3ee3637d25.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
54 files, 12,891 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill provides templates, checklists, and patterns to automate DevOps tasks across various platforms. It focuses on building self-service platforms, implementing GitOps workflows, deploying applications securely (DevSecOps), scaling with Kubernetes, ensuring system reliability through SRE practices, and establishing strong observability for production systems. The skill supports infrastructure provisioning, application deployment, CI/CD pipeline setup, security scanning, monitoring & alerting, load testing, incident response, and platform engineering.

When to use it

  • Provisioning cloud resources declaratively using tools like Terraform or OpenTofu.
  • Implementing continuous reconciliation of deployments with GitOps tools such as Argo CD or Flux.
  • Deploying applications to Kubernetes clusters using kubectl or Helm charts.
  • Automating CI/CD pipelines, particularly within GitHub-based environments using GitHub Actions.
  • Setting up vulnerability scanning and runtime security enforcement with tools like Trivy and Tetragon.

Key capabilities

  • Infrastructure as Code (IaC) provisioning with Terraform, OpenTofu, or Pulumi.
  • GitOps deployment workflows utilizing Argo CD or Flux.
  • Kubernetes deployments managed via kubectl or Helm charts.
  • CI/CD pipeline automation using GitHub Actions, GitLab CI, Jenkins, or Tekton.
  • Security scanning with Trivy, Falco, and Tetragon.
  • Monitoring and alerting through Prometheus and Grafana.

Example prompts

  • "Create a Terraform configuration to provision an EC2 instance."
  • "Deploy my application using Argo CD."
  • "Generate a GitHub Actions workflow for CI/CD."
  • “Scan this Docker image for vulnerabilities: myapp:latest”

Tips & gotchas

  • The skill is designed to work with modern DevOps tooling, including Terraform/OpenTofu, Argo CD/Flux, Kubernetes, Prometheus/Grafana, and eBPF-powered tools like Cilium.
  • When choosing an IaC tool, consider whether you need cloud-agnostic support (Terraform/OpenTofu), a programming-first approach (Pulumi), or specific AWS/GCP/Azure solutions.
  • For Kubernetes deployments, choose between kubectl for simple deployments and Helm charts for more complex applications.