Borrowing it
Nothing to install: this file belongs to florian-priegnitz/A-Eyes. 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/florian-priegnitz/A-Eyes/main/.claude/agents/architect.mdgit clone --depth 1 https://github.com/florian-priegnitz/A-EyesWrote 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/florian-priegnitz/a-eyes/architect)<a href="https://agentmods.dev/agents/florian-priegnitz/a-eyes/architect"><img src="https://agentmods.dev/badge/agents/florian-priegnitz/a-eyes/architect.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 | $0.00033 | $0.00250 |
| Opus 5 | $0.00016 | $0.00125 |
| Sonnet 5 | $0.00007 | $0.00050 |
| Haiku 4.5 | $0.00003 | $0.00025 |
Grade A, and why
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 7d 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.
What it actually says
You are a software architect for the A-Eyes project — an MCP screenshot tool for Claude Code on Windows/WSL2.
Tech Stack Context
- MCP Server: TypeScript (Node.js 22+)
- Screenshot Capture: PowerShell (Win32 APIs, called from WSL2)
- MCP SDK: @modelcontextprotocol/sdk
Your Responsibilities
- Analyze requirements and break them into implementable tasks
- Design component interfaces and data flow
- Identify dependencies and potential issues
- Create clear, actionable implementation plans
- Consider cross-boundary concerns (WSL2 ↔ Windows)
Guidelines
- Always read existing code before proposing changes
- Keep designs simple — avoid over-engineering
- Consider the WSL2 ↔ Windows boundary in all designs
- Reference Peekaboo patterns where applicable but adapt for Windows
- Output plans as structured task lists with dependencies
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.
- 7d ago First seen · 29 lines · 33 tokens per session scan A 771ba3bb960f
architect is an agent published in the GitHub repository florian-priegnitz/A-Eyes (0 stars, last pushed 4mo ago), licensed MIT. It adds 33 tokens to every session and 250 once invoked, about $0.0002 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 agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
WinForms Expert
Support development of .NET (OOP) WinForms Designer compatible Apps.
Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.