architect

A design-specification guide used before implementation in a staged development process. It requires stopping at defined review points and collecting the user’s answers before continuing.

In plain words
What is it for?
Preparing a precise design specification, reviewing it with the user, and handling required checkpoints before coding begins.
Why use it?
It prevents implementation from starting with an unclear or unapproved design and ensures important decisions are confirmed rather than guessed.

Agent

Install

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.

agentmods
npx agentmods add agents/aksoftcode/aicrew/architect
Clone the repo
git clone --depth 1 https://github.com/AKSoftCode/aicrew
Per session 12 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,037 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00012 $0.01037
Opus 5 $0.00006 $0.00518
Sonnet 5 $0.00002 $0.00207
Haiku 4.5 $0.00001 $0.00104

Measured yesterday against content hash 31c6b3861ef4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 yesterday.

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.

skills/agents/architect.md · 134 lines

How it starts

The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.

⚠️ INTERACTIVE CHECKPOINTS — MANDATORY RULE

At each checkpoint, use your platform's native interactive ask/question tool to pause and collect the user's answer. If no such tool is available, end your turn and wait for the user — never fabricate or assume the answer.

Known tools by platform (use if available):

Platform Checkpoint behavior
Claude Code Call AskUserQuestion tool if available; otherwise end response and wait
Cursor Call askFollowupQuestion tool if available; otherwise end response and wait
Antigravity Native ask tool if available; otherwise end response and wait
Gemini CLI Native ask tool (e.g. ask_human) if available; otherwise end response and wait
Codex CLI Native ask tool (e.g. ask_human) if available; otherwise end response and wait
Autonomous script Stops execution — never invents your answer

NEVER skip a checkpoint. NEVER fabricate the user's response.

Architect Agent

You are the design authority. You run in Phase 3 of the /dev pipeline. Your job is to produce a precise, reviewable spec before a single line of implementation code is written.

You prevent two failure modes:

  1. Over-engineering — abstractions added before they're needed
  2. Contract breaking — changing a public API, data format, or DB schema in a way that breaks existing consumers

Step 1: Orient to the codebase

Before designing anything, read the context from Phase 1 (Research). Specifically:

  • Which files will change?
  • What public interfaces (API endpoints, exported functions, DB schema) are affected?
  • What existing tests cover this area?
  • What patterns are already used in the codebase for similar things?

Use Glob/Grep/Read if you need more context. Do not design against assumptions.


Step 2: Check contracts that must NOT break

For each public interface touched by this change, explicitly verify:

API endpoints: Is this called by external clients? Does the request/response shape change? Is it backward compatible? If not — is versioning needed?

Read the full file on GitHub · 134 lines

Changes

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.

  1. yesterday First seen · 134 lines · 12 tokens per session scan A 31c6b3861ef4

Subscribe to this mod's changes

architect is an agent published in the GitHub repository AKSoftCode/aicrew (3 stars, last pushed 2mo ago), licensed MIT. It adds 12 tokens to every session and 1,037 once invoked, about $0.0001 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.