What is platform-engineering?

A reference guide for platform engineering, the work of building and operating shared tools and infrastructure for software teams. It covers areas such as CI/CD, infrastructure as code, containers, networking, observability, secrets, and cloud architecture.

Use it when designing or reviewing deployment pipelines, Terraform or Pulumi setups, Kubernetes or Docker deployments, service networks, monitoring, secret handling, or cloud architecture.

It gives platform engineers established patterns for planning and reviewing infrastructure work without requiring the skill itself to run operations.

platform-engineering — Skill for Claude Code and Codex by magnus919

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.

Any agent

npx skills add magnus919/hermes-profiles --skill platform-engineering

Clone the repo

git clone --depth 1 https://github.com/magnus919/hermes-profiles

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/magnus919/hermes-profiles/platform-engineering/github.svg)](https://agentmods.dev/skills/magnus919/hermes-profiles/platform-engineering)

Your own site

<a href="https://agentmods.dev/skills/magnus919/hermes-profiles/platform-engineering"><img src="https://agentmods.dev/badge/skills/magnus919/hermes-profiles/platform-engineering/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/magnus919/hermes-profiles/platform-engineering"><img src="https://agentmods.dev/badge/skills/magnus919/hermes-profiles/platform-engineering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,158 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00030	$0.01158
Opus 5.5	$0.00012	$0.00463
Sonnet 5.5	$0.00006	$0.00232
Haiku 4.5	$0.00003	$0.00116

Measured 1mo ago against content hash 1c855beceb3e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

platform-engineering scanned grade A with 0 findings 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 1mo 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/platform-engineering/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Platform Engineering

Core methodology and reference library for platform engineering work. This skill does not execute operations itself — it provides the frameworks, patterns, and reference material that a platform-engineer profile loads on demand.

When to Load

Load this skill when the task involves:

Trigger	What's Needed
Design a CI/CD pipeline	Pipeline structure, GitOps sync strategies, release automation
Infrastructure as code plan	Terraform/OpenTofu module patterns, state management, Pulumi/Ansible patterns
Container orchestration design	K8s pod lifecycle, Helm chart conventions, Kustomize overlays, Docker Compose
Service networking / mesh	Traefik/nginx/Caddy config, Tailscale/Headscale ACL, WireGuard, service mesh
Observability strategy	Prometheus rules, Grafana dashboards-as-code, Loki logging, tracing
Secret management design	Vault, SOPS, External Secrets Operator patterns
Cloud architecture assessment	Multi-cloud patterns, provider foundations, cost governance
Deployment pipeline review	End-to-end delivery pipeline audit, release engineering patterns

Loading Order

skill_view('platform-engineering')          # This — methodology index
skill_view('artifact-pyramids')              # Output contract
skill_view('docker-management')              # Container lifecycle (if needed)
skill_view('traefik')                        # Reverse proxy (if needed)
skill_view('tailscale')                      # Mesh networking (if needed)
skill_view('implementation-planning')        # Work breakdown (if needed)

Then load domain-specific references from this skill:

skill_view('platform-engineering', file_path='references/ci-cd-pipelines.md')
skill_view('platform-engineering', file_path='references/infrastructure-as-code.md')
# ... etc per domain

Reference Files

Reference	Purpose
`references/ci-cd-pipelines.md`	GitHub Actions, GitLab CI, Forgejo CI, Jenkins, CircleCI; GitOps with ArgoCD/Flux; release automation
`references/container-orchestration.md`	K8s/k3s, Helm chart conventions, Kustomize overlays, RBAC patterns, Docker Compose production patterns
`references/infrastructure-as-code.md`	Terraform/OpenTofu module design, state backends, Pulumi project structure, Ansible roles, CloudFormation/CDK
`references/service-networking.md`	Reverse proxy config (Traefik, nginx, Caddy), Tailscale/Headscale ACL, WireGuard topology, service mesh (Istio, Cilium)
`references/observability.md`	Prometheus recording rules/alerting, Grafana dashboards-as-code, Loki log aggregation, OpenTelemetry tracing
`references/secret-management.md`	HashiCorp Vault auth/policies, SOPS/age encryption in Git, External Secrets Operator, Sealed Secrets
`references/cloud-platforms.md`	AWS/GCP/Azure foundational services, multi-cloud design, cost governance, provider abstraction
`references/automation-languages.md`	Go CLI patterns, Python SDK integration, Bash bootstrap/conventions for platform tooling
`references/release-engineering.md`	Container image lifecycle, artifact versioning strategies, release gate checklists, Helm chart promotion

Read the full file on GitHub · 85 lines

Files

What ships with it

9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

1mo ago First seen · 85 lines · 30 tokens per session scan A 1c855beceb3e

Subscribe to this mod's changes

platform-engineering is a skill published in the GitHub repository magnus919/hermes-profiles (342 stars, last pushed 4mo ago), licensed MIT. It adds 30 tokens to every session and 1,158 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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