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 ancoleman/ai-design-components --skill platform-engineeringgit clone --depth 1 https://github.com/ancoleman/ai-design-componentsWrote 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/ancoleman/ai-design-components/platform-engineering)<a href="https://agentmods.dev/skills/ancoleman/ai-design-components/platform-engineering"><img src="https://agentmods.dev/badge/skills/ancoleman/ai-design-components/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/ancoleman/ai-design-components/platform-engineering"><img src="https://agentmods.dev/badge/skills/ancoleman/ai-design-components/platform-engineering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00073 | $0.03580 |
| Opus 5.5 | $0.00029 | $0.01432 |
| Sonnet 5.5 | $0.00015 | $0.00716 |
| Haiku 4.5 | $0.00007 | $0.00358 |
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.
How it starts
The opening of the file, as written. The whole thing — 415 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Platform Engineering
Purpose
Build Internal Developer Platforms (IDPs) that provide self-service infrastructure, reduce cognitive load, and accelerate developer productivity through golden paths and platform-as-product thinking.
Platform engineering represents the evolution beyond traditional DevOps, focusing on creating product-quality internal platforms that treat developers as customers. The discipline addresses the developer productivity crisis where engineers spend 30-40% of time on infrastructure and tooling instead of features.
When to Use This Skill
Trigger this skill when:
- Building or improving an internal developer platform
- Designing a developer portal (Backstage, Port, or commercial IDP)
- Implementing golden paths and software templates
- Establishing or restructuring a platform engineering team
- Measuring and improving developer experience (DevEx)
- Integrating IDP with infrastructure, CI/CD, observability, or security tools
- Driving platform adoption across an engineering organization
- Assessing platform maturity and identifying capability gaps
Core Concepts
Platform as Product
Treat internal platforms with the same rigor as customer-facing products:
Product Management Approach:
- Define platform vision, strategy, and roadmap
- Identify developer "customers" and their pain points
- Measure success via adoption metrics, satisfaction surveys, and business impact
- Iterate based on feedback loops and usage analytics
- Balance new capabilities with platform reliability and support
Key Differences from Traditional DevOps:
- DevOps focuses on delivery pipelines; platform engineering builds comprehensive developer experiences
- Platform teams operate as product teams (product managers, UX designers, engineers)
- Success measured by developer productivity and satisfaction, not just infrastructure metrics
- Self-service is the primary interface, not ticket queues
Internal Developer Platform (IDP) Architecture
Three-Layer Architecture:
What ships with it
10 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.
- examples/argocd/application-set.yaml 2.2 KB
- examples/backstage/template-example.yaml 3.4 KB
- examples/crossplane/database-composition.yaml 4.0 KB
- outputs.yaml 11 KB
- references/decision-frameworks.md 30 KB
- references/golden-paths.md 16 KB
- references/idp-architecture.md 25 KB
- references/implementation-backstage.md 14 KB
- references/maturity-model.md 17 KB
- references/tool-recommendations.md 13 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.
- 1mo ago First seen · 415 lines · 73 tokens per session scan A 3c1ba39036c4
platform-engineering is a skill published in the GitHub repository ancoleman/ai-design-components (525 stars, last pushed 10mo ago), licensed MIT. It adds 73 tokens to every session and 3,580 once invoked, about $0.0003 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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