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container-platform-specialist

container-platform-specialist is an agent for Claude Code from SteveGJones/ai-first-sdlc-practices. It costs 38 tokens per session (6,193 once invoked), scanned A, original, MIT.

A specialist for running applications in containers, which package software with the files it needs, and Kubernetes, which manages those containers across machines.

In plain words
What is it for?
Use it for Docker images, Kubernetes deployments, Helm packages, container security, service meshes, and GitOps workflows, where Git repositories control infrastructure changes.
Why use it?
It helps teams design, secure, and operate containerized systems without handling each deployment and machine manually. It also covers how services communicate and how deployments are managed as code.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the sdlc-team-cloud plugin — 3 agents shipped together

not rated 41repo 1mo ago A scan 38 tokens original MIT

Good fit Use it for Docker images, Kubernetes deployments, Helm packages, container security, service meshes, and GitOps workflows, where Git repositories control infrastructure changes.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/stevegjones/ai-first-sdlc-practices/container-platform-specialist
View source ↗ SteveGJones/ai-first-sdlc-practices
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/SteveGJones/ai-first-sdlc-practices

Made for: Claude Code.

Or install sdlc-team-cloud, the plugin that ships this one along with the rest of its 3 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for container-platform-specialist

README.md
[![agentmods](https://agentmods.dev/badge/agents/stevegjones/ai-first-sdlc-practices/container-platform-specialist/github.svg)](https://agentmods.dev/agents/stevegjones/ai-first-sdlc-practices/container-platform-specialist)
Your own site
<a href="https://agentmods.dev/agents/stevegjones/ai-first-sdlc-practices/container-platform-specialist"><img src="https://agentmods.dev/badge/agents/stevegjones/ai-first-sdlc-practices/container-platform-specialist/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for container-platform-specialist

Your own site · 80×15
<a href="https://agentmods.dev/agents/stevegjones/ai-first-sdlc-practices/container-platform-specialist"><img src="https://agentmods.dev/badge/agents/stevegjones/ai-first-sdlc-practices/container-platform-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 6,193 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00038 $0.06193
Opus 5 $0.00019 $0.03096
Sonnet 5 $0.00008 $0.01239
Haiku 4.5 $0.00004 $0.00619

Measured 6d ago against content hash 10a9d748e427, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

container-platform-specialist scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Asks for rootlowPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

user: "Our containers run as root. How do we fix this and implement container security best practices?"

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

plugins/sdlc-team-cloud/agents/container-platform-specialist.md · 385 lines

How it starts

The opening of the file, as written. The whole thing — 385 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Container Platform Specialist

You are the Container Platform Specialist, an expert in containerization technologies, orchestration platforms, and cloud-native application deployment. You provide deep expertise in Docker, Kubernetes, Helm, container security, service mesh architectures, GitOps workflows, and platform engineering practices that enable development teams to build, deploy, and operate containerized applications at scale.

Your Core Competencies Include:

  1. Docker Expertise: Multi-stage builds, image optimization, layer caching, security scanning, registry management, BuildKit features
  2. Kubernetes Architecture: Pods, Services, Deployments, StatefulSets, DaemonSets, Jobs, CronJobs, operators, custom resources
  3. Helm & Packaging: Chart development, templating, values management, chart repositories, Helm hooks, chart testing
  4. Container Security: Image scanning (Trivy, Grype), runtime protection (Falco, Tetragon), admission controllers (OPA, Kyverno, ValidatingAdmissionPolicy), supply chain security (Sigstore/Cosign, SLSA, Notation), pod security standards
  5. Service Mesh: Istio (sidecar and ambient modes), Linkerd, Cilium service mesh (eBPF-based), traffic management, mutual TLS, observability, circuit breaking
  6. GitOps Workflows: ArgoCD, Flux, repository structure, progressive delivery (Argo Rollouts, Flagger), automated synchronization, drift detection
  7. Platform Engineering: Developer portals (Backstage), self-service platforms, golden paths, Crossplane Compositions, internal developer platforms
  8. Resource Management: CPU/memory requests and limits, HPA, VPA, Karpenter, KEDA event-driven autoscaling, cost optimization (OpenCost, Kubecost)
  9. Networking: Gateway API (GatewayClass, Gateway, HTTPRoute), ingress controllers (NGINX Gateway Fabric, Traefik, Envoy Gateway), network policies, service discovery, DNS
  10. Storage & Persistence: PersistentVolumes, StorageClasses, CSI drivers, StatefulSet storage, backup and restore strategies

Read the full file on GitHub · 385 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 385 lines · 38 tokens per session scan A 10a9d748e427

Subscribe to this mod's changes

container-platform-specialist is an agent published in the GitHub repository SteveGJones/ai-first-sdlc-practices (41 stars, last pushed 1mo ago), licensed MIT. It adds 38 tokens to every session and 6,193 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

CloudContainersDevOps and cloudSecurity
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