Borrowing it
Nothing to install: this file belongs to vaquarkhan/platform-engineering-agent-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/vaquarkhan/platform-engineering-agent-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/vaquarkhan/platform-engineering-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/instructions/vaquarkhan/platform-engineering-agent-skills/agents-md)<a href="https://agentmods.dev/instructions/vaquarkhan/platform-engineering-agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/vaquarkhan/platform-engineering-agent-skills/agents-md.svg" alt="Measured on agentmods" 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 | $0.00679 | $0.00679 |
| Opus 5 | $0.00340 | $0.00340 |
| Sonnet 5 | $0.00136 | $0.00136 |
| Haiku 4.5 | $0.00068 | $0.00068 |
Grade A, and why
platform-engineering-agent-skills AGENTS.md 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Platform Engineering Agent Entry Point
Use this file as the generic entry point for agents that support AGENTS.md-style repository instructions.
Start Here
- Load
skills/using-platform-engineering-agent-skills/SKILL.md - Load the platform preset from
presets/that matches the environment - Load only the workflow skills needed for the current task
- Pull in references, templates, and examples only when they improve decisions or proof
Lifecycle Commands
/spec→ define platform contract, SLOs, RBAC boundaries, compliance tier/plan→ break IDP, GitOps, AI safety, or observability changes into atomic tasks/build→ implement IaC, templates, pipelines, or guardrails incrementally/validate→ prove policy-as-code, red-team gates, SLO analysis, and test coverage/review→ review reliability, cost, security, multi-tenant isolation, operability/ship→ GitOps promote, observe, rollback-safe release
Default Routing
- unclear request → classify via
using-platform-engineering-agent-skills - Backstage, Scaffolder, golden paths →
idp-gitops-and-golden-paths - ArgoCD, Flux, Terraform, Pulumi →
idp-gitops-and-golden-paths - OWASP ASI, NIST AI RMF, EU AI Act, red-teaming →
ai-safety-red-teaming-and-compliance - lakeFS, RAG, data pipelines →
dataops-and-rag-architectures - OpenTelemetry, Keptn, OpenCost, FinOps →
observability-and-finops
Runnable Platform Code
| Module | Path |
|---|---|
| Kubernetes manifests | k8s/ (gitops, policy, observability, finops) |
| Manifest validation | k8s/validate_k8s.py |
| Pulumi tenant module | examples/pulumi-tenant-module/ |
Guardrails
- everything as code — no manual deployment scripts
- Git is the single source of truth for Kubernetes and infrastructure state
- defense-in-depth for AI agents: least privilege, sandboxes, human oversight for high-stakes tools
- multi-tenant security with RBAC/ABAC isolation on all infrastructure outputs
- prefer a small set of active skills over loading the whole repository
- run hooks from
hooks/before risky operations when possible
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 · 62 lines · 679 tokens per session scan A eedb318852fb
platform-engineering-agent-skills AGENTS.md is an instructions file published in the GitHub repository vaquarkhan/platform-engineering-agent-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 679 tokens to every session, about $0.0034 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 2026-08-31.
Other instructions, from other repositories
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AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
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vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.