setup-architect

A setup tool for installing the AI Software Architect framework in a new project for the first time.

In plain words
What is it for?
Use it when starting the framework in a new project or installing its architecture setup.
Why use it?
It provides the project initialization needed before using that architecture framework.

Skill for Claude CodeCodex

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 skills/codenamev/ai-software-architect/setup-architect
Any agent
npx skills add codenamev/ai-software-architect --skill setup-architect
Clone the repo
git clone --depth 1 https://github.com/codenamev/ai-software-architect

Made for: Claude Code, Codex.

Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,939 The whole file, excluding the scripts and references it only reads on demand.
Security scan D 2 findings. Scan, not verified.
Origin unknown 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 $0.00086 $0.02939
Opus 5 $0.00043 $0.01470
Sonnet 5 $0.00017 $0.00588
Haiku 4.5 $0.00009 $0.00294

Measured 2d ago against content hash b676cb44f080, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade D, and why

setup-architect scanned grade D with 2 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 2d 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

TOOLS_CLI=$(find ~/.claude/plugins -type f -name cli.js -path '*ai-software-architect/tools/*' 2>/dev/null | head -1)

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

2. If only a few files copied, the simplest recovery is `rm -rf .architecture/` and re-run `Setup ai-software-architect` (no project code is touched outside `.architecture/`).
skills/setup-architect/SKILL.md · 285 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2d ago First seen · 285 lines · 86 tokens per session scan D b676cb44f080

Subscribe to this mod's changes

setup-architect is a skill published in the GitHub repository codenamev/ai-software-architect (76 stars, last pushed 13d ago), with no licence file. It adds 86 tokens to every session and 2,939 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it D with 2 findings (reads agent configuration directories, recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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