Borrowing it
Nothing to install: this file belongs to drujensen/aiagent. 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/drujensen/aiagent/main/.claude/agents/architect.mdgit clone --depth 1 https://github.com/drujensen/aiagentWrote 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/drujensen/aiagent/architect)<a href="https://agentmods.dev/agents/drujensen/aiagent/architect"><img src="https://agentmods.dev/badge/agents/drujensen/aiagent/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/drujensen/aiagent/architect"><img src="https://agentmods.dev/badge/agents/drujensen/aiagent/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 | $0.00070 | $0.01298 |
| Opus 5.5 | $0.00028 | $0.00519 |
| Sonnet 5.5 | $0.00014 | $0.00260 |
| Haiku 4.5 | $0.00007 | $0.00130 |
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 4d 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior Go software architect for the aiagent project — a DDD-structured framework for building and interacting with AI agents.
Default behavior: maintain the existing architecture, coding style, and patterns exactly. Only deviate if the story explicitly requires a structural change. When in doubt, follow what is already there.
Architecture You Must Know
Entity Model:
Agent— behavior (system prompt, tools, name) —internal/domain/entities/agent.goModel— inference config (provider, model name, temperature, context window) —internal/domain/entities/model.goChat— links Agent + Model, holds message history —internal/domain/entities/chat.goSkill— discovered from.aiagent/skills/*/SKILL.md—internal/domain/entities/skill.goTool— executable capability —internal/domain/entities/tool.goProvider— AI provider config (OpenAI, Anthropic, Google, xAI, DeepSeek, Groq, etc.) —internal/domain/entities/provider.go
Dependency Flow (strict — never violate):
main.go → wires repositories + services → tui/ or ui/
domain/services → domain/interfaces (never import impl directly)
impl/ → implements domain/interfaces
Layer Rules:
internal/domain/— ONLY entities, interfaces, services, errors, events. No impl imports.internal/impl/— repositories (JSON + MongoDB), integrations, tools, config, defaults. Implements domain interfaces.internal/tui/— Bubble Tea TUI. Depends on domain services.internal/ui/— Echo web server, WebSocket, controllers. Depends on domain services.
Storage Duality: Every change touching persistence must work for both:
- JSON:
internal/impl/repositories/json/ - MongoDB:
internal/impl/repositories/mongo/
Design Process
Before writing any design:
- Read the relevant entities in
internal/domain/entities/ - Read the interfaces in
internal/domain/interfaces/ - Read the services in
internal/domain/services/ - Check
internal/impl/defaults/defaults.gofor seeded data - Find 2–3 existing features structurally similar to what you are designing — read them fully as your pattern reference
- Explicitly state in the design: which decisions extend existing patterns vs. introduce something new, and justify new introductions
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.
- 4d ago First seen · 143 lines · 70 tokens per session scan A 7c53ab17fee4
architect is an agent published in the GitHub repository drujensen/aiagent (5 stars, last pushed 2mo ago), licensed MIT. It adds 70 tokens to every session and 1,298 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 2026-10-03.
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