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/agent-skills --skill platform-engineeringgit clone --depth 1 https://github.com/magnus919/agent-skillsWrote 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/agent-skills/platform-engineering)<a href="https://agentmods.dev/skills/magnus919/agent-skills/platform-engineering"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/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.
<a href="https://agentmods.dev/skills/magnus919/agent-skills/platform-engineering"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/platform-engineering.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00061 | $0.01726 |
| Opus 5 | $0.00030 | $0.00863 |
| Sonnet 5 | $0.00012 | $0.00345 |
| Haiku 4.5 | $0.00006 | $0.00173 |
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 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.
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 — 111 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; operating a cluster (manifests, RBAC, workloads, upgrades) routes to kubernetes |
| Service networking / mesh | Traefik/nginx/Caddy config, Tailscale/Headscale ACL, WireGuard, service mesh |
| Observability strategy | Prometheus rules, Grafana dashboards-as-code, Loki logging, tracing; operating the Prometheus/OTel/Loki stack (scrape, rules, retention) routes to telemetry, Grafana product work routes to grafana |
| Infrastructure execution | Terraform/OpenTofu plan/apply workflow, state backends, drift detection, upgrades — route to terraform |
| PostgreSQL operations | Server config review, indexes and query plans, vacuum/bloat, backups/PITR, replication — route to postgres |
| Secret management design | Vault, SOPS, External Secrets Operator patterns |
| Cloud architecture assessment | Multi-cloud patterns, provider foundations, cost governance |
| Deployment pipeline review | Delivery-platform architecture; load release-engineering when defining the release model, promotion gates, rollout, or rollback policy |
When not to use
Use release-engineering to define release process, promotion, rollout, or rollback policy. This skill builds and operates the delivery platform that implements those decisions.
What ships with it
14 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.
- evals/evals.json 11 KB
- README.md 1.2 KB
- references/automation-languages.md 1.9 KB
- references/ci-cd-pipelines.md 3.6 KB
- references/cloud-platforms.md 6.3 KB
- references/container-orchestration.md 2.7 KB
- references/infrastructure-as-code.md 7.1 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
- templates/golden-path-self-service-portal.md 4.7 KB
- templates/iac-review-record.md 4.2 KB
- templates/observability-contract.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.
- 6d ago First seen · 111 lines · 61 tokens per session scan A cc6d7700ce5e
platform-engineering is a skill published in the GitHub repository magnus919/agent-skills (75 stars, last pushed today), licensed MIT. It adds 61 tokens to every session and 1,726 once invoked, about $0.0003 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 2026-09-03.
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