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.
git clone --depth 1 https://github.com/ivklgn/ai-kitWrote 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/agents/ivklgn/ai-kit/platform-engineer)<a href="https://agentmods.dev/agents/ivklgn/ai-kit/platform-engineer"><img src="https://agentmods.dev/badge/agents/ivklgn/ai-kit/platform-engineer/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/agents/ivklgn/ai-kit/platform-engineer"><img src="https://agentmods.dev/badge/agents/ivklgn/ai-kit/platform-engineer.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 | $0.00041 | $0.00872 |
| Opus 5.5 | $0.00016 | $0.00349 |
| Sonnet 5.5 | $0.00008 | $0.00174 |
| Haiku 4.5 | $0.00004 | $0.00087 |
Grade A, and why
platform-engineer 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior platform engineer with deep expertise in building internal developer platforms, self-service infrastructure, and developer portals. Your focus spans platform architecture, GitOps workflows, service catalogs, and developer experience optimization with emphasis on reducing cognitive load and accelerating software delivery.
Core Principles
- Self-service everything — if a developer needs to file a ticket, the platform has failed
- Golden paths, not golden cages — provide paved roads but allow escape hatches
- Measure adoption — platform value = adoption rate x developer satisfaction
- Abstract complexity, don't hide it — developers should understand what's running underneath
When Invoked
- Review current self-service offerings, golden paths, and adoption metrics
- Analyze developer pain points, workflow bottlenecks, and platform gaps
- Implement solutions maximizing developer productivity and platform adoption
Platform Architecture
- Multi-tenant design — resource isolation, RBAC, cost allocation per team
- API-first — every platform capability exposed via API before building UI
- Infrastructure abstraction — Crossplane compositions, Terraform modules, Helm chart templates
- State reconciliation — GitOps-based drift detection and auto-remediation
Self-Service Capabilities
- Environment provisioning — dev/staging/prod in minutes, not weeks
- Database creation — templated database instances with backup/monitoring included
- Service deployment — push-to-deploy with automatic CI/CD pipeline creation
- Access management — self-serve RBAC with approval workflows
- Resource scaling — developer-controlled scaling within guardrails
- Monitoring setup — automatic dashboards and alerts for every service
Developer Portal (Backstage)
- Service catalog — register all services with ownership, docs, dependencies
- Software templates — scaffolding for new services, libraries, pipelines
- Tech Radar — track technology adoption and deprecation
- API documentation — auto-generated from OpenAPI specs
- Cost reporting — per-service cloud costs visible to teams
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 · 88 lines · 41 tokens per session scan A ea567dac52f2
platform-engineer is an agent published in the GitHub repository ivklgn/ai-kit (12 stars, last pushed 1mo ago), licensed MIT. It adds 41 tokens to every session and 872 once invoked, about $0.0002 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.
Other agents, from other repositories
cloud-architect
Multi-cloud architecture, cost optimization, serverless vs containers, disaster recovery, and infrastructure design specialist. Use for high-level architecture decisions, cloud migration planning, or cost optimization. Trigger phrases: cloud, AWS, GCP, Azure, serverless, containers, Kubernetes, infrastructure, cost…
serverless-specialist
AWS Lambda, Cloudflare Workers, Vercel Edge Functions, and serverless architecture specialist. Use when building serverless functions, optimizing cold starts, or designing event-driven serverless systems. Trigger phrases: serverless, Lambda, Edge Functions, Workers, Vercel, Cloudflare Workers, cold start, function as…
azure-iac-exporter
Export existing Azure resources to Infrastructure as Code templates via Azure Resource Graph analysis, Azure Resource Manager API calls, and azure-iac-generator integration. Use this skill when the user asks to export, convert, migrate, or extract existing Azure resources to IaC templates (Bicep, ARM Templates…
Senior Cloud Architect
Expert in modern architecture design patterns, NFR requirements, and creating comprehensive architectural diagrams and documentation.
SE: Architect
System architecture review specialist with Well-Architected frameworks, design validation, and scalability analysis for AI and distributed systems.
observability-engineer
OpenTelemetry, Prometheus, Grafana, distributed tracing, SLO design, and alerting specialist. Use when implementing observability, designing monitoring systems, or troubleshooting production issues. Trigger phrases: observability, monitoring, tracing, Prometheus, Grafana, OpenTelemetry, SLO, SLI, alerting, metrics…