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.
npx skills add magnus919/hermes-profiles --skill platform-engineeringgit clone --depth 1 https://github.com/magnus919/hermes-profilesWrote 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.
[](https://agentmods.dev/skills/magnus919/hermes-profiles/platform-engineering)<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="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00015 | $0.00579 |
| Sonnet 5 | $0.00006 | $0.00232 |
| Haiku 4.5 | $0.00003 | $0.00116 |
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 8d 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.
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 |
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.
- references/automation-languages.md 1.9 KB
- references/ci-cd-pipelines.md 3.6 KB
- references/cloud-platforms.md 2.6 KB
- references/container-orchestration.md 2.7 KB
- references/infrastructure-as-code.md 2.9 KB
- references/observability.md 3.0 KB
- references/release-engineering.md 2.6 KB
- references/secret-management.md 3.0 KB
- references/service-networking.md 4.2 KB
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.
- 8d ago First seen · 85 lines · 30 tokens per session scan A 1c855beceb3e
platform-engineering is a skill published in the GitHub repository magnus919/hermes-profiles (149 stars, last pushed 2mo ago), licensed MIT. It adds 30 tokens to every session and 1,158 once invoked, about $0.0002 per session on Opus 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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