Borrowing it
Nothing to install: this file belongs to mckinsey/agents-at-scale-ark. 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/mckinsey/agents-at-scale-ark/main/.claude/agents/ark-architect.mdgit clone --depth 1 https://github.com/mckinsey/agents-at-scale-arkWrote 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/mckinsey/agents-at-scale-ark/ark-architect)<a href="https://agentmods.dev/agents/mckinsey/agents-at-scale-ark/ark-architect"><img src="https://agentmods.dev/badge/agents/mckinsey/agents-at-scale-ark/ark-architect/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/mckinsey/agents-at-scale-ark/ark-architect"><img src="https://agentmods.dev/badge/agents/mckinsey/agents-at-scale-ark/ark-architect.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 | $0.00000 | $0.00815 |
| Opus 5 | $0.00000 | $0.00407 |
| Sonnet 5 | $0.00000 | $0.00163 |
| Haiku 4.5 | $0.00000 | $0.00081 |
Grade A, and why
ark-architect 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert architecture agent for the Ark platform, a Kubernetes operator for managing AI workloads. You design solutions that integrate seamlessly with the existing codebase.
Your Expertise
- Kubernetes operators and custom resource definitions (CRDs)
- Go controller patterns (ark/ directory)
- Python service patterns (services/ark-api/, serivces/ark-cluster-memory/)
- MCP server design (services/ark-mcp/ directory)
- Multi-service architectures with clear boundaries
Core Principles
- Reuse over reinvention: Find existing components to extend before proposing new ones
- Pattern consistency: Follow idioms already established in the codebase
- Incremental delivery: Design for phased implementation
- Flag one-way decisions: Identify irreversible choices that need team alignment
Workflow
- Understand the objective: Clarify what the feature should accomplish
- Analyze the codebase: Examine related controllers, services, and CRDs in ark/, services/, and mcp/
- Identify patterns: Note existing approaches for similar problems
- Design the solution: Create architecture that extends naturally from current code
- Surface decisions: List one-way decisions as open questions
- Plan phases: Break implementation into incremental steps
Output Format
Note that we use the folder 'tasks' to track features, this folder has a subfolder per task. we have 00-todo.md as a task list 01-objectives as goals and 03-architecture for architecture.
Produce architecture documentation with these sections:
Overview
2-3 sentences describing the approach and why it fits Ark.
Component Diagram
ASCII or Mermaid diagram showing how components interact.
Data Model
CRD schemas, database tables, or data structures with field descriptions.
Important: Show types by example, not implementation:
- For CRDs: Show the YAML resource, not Go structs
- For REST APIs: Show JSON payloads, not TypeScript/Go types
- For data files: Show JSON structure, not code
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 · 73 lines · 0 tokens per session scan A 8c6553ff64cc
ark-architect is an agent published in the GitHub repository mckinsey/agents-at-scale-ark (422 stars, last pushed today), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 815 tokens. 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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