setup-ssot

setup-ssot is a skill for Claude Code from ShipWithAI/shipwithai-plugins. It costs 62 tokens per session (1,423 once invoked), scanned A, original, MIT.

A setup tool for creating a single source of truth (SSOT): shared architecture documentation that describes how a codebase is organised. It can create an architecture overview, an ADR folder for recording important technical decisions, and CODEMAPS for finding code.

In plain words
What is it for?
Use it to document a web app, API, command-line tool, or library, including its technology stack, layers, entry points, external services, and files that should not be edited manually.
Why use it?
It gives developers a consistent place to understand the system and the reasons behind major decisions. This reduces time spent guessing where code belongs or why it works a certain way.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the shipwithai-starter plugin — 13 skills, 4 commands, 1 agent shipped together

Good fit Use it to document a web app, API, command-line tool, or library, including its technology stack, layers, entry points, external services, and files that should not be edited manually.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/shipwithai/shipwithai-plugins/setup-ssot
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.

Any agent
npx skills add ShipWithAI/shipwithai-plugins --skill setup-ssot
Clone the repo
git clone --depth 1 https://github.com/ShipWithAI/shipwithai-plugins

Made for: Claude Code.

Or install shipwithai-starter, the plugin that ships this one along with the rest of its 13 skills, 4 commands, 1 agent.

Wrote 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.

agentmods badge for setup-ssot

README.md
[![agentmods](https://agentmods.dev/badge/skills/shipwithai/shipwithai-plugins/setup-ssot/github.svg)](https://agentmods.dev/skills/shipwithai/shipwithai-plugins/setup-ssot)
Your own site
<a href="https://agentmods.dev/skills/shipwithai/shipwithai-plugins/setup-ssot"><img src="https://agentmods.dev/badge/skills/shipwithai/shipwithai-plugins/setup-ssot/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.

agentmods 80×15 button for setup-ssot

Your own site · 80×15
<a href="https://agentmods.dev/skills/shipwithai/shipwithai-plugins/setup-ssot"><img src="https://agentmods.dev/badge/skills/shipwithai/shipwithai-plugins/setup-ssot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,423 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00062 $0.01423
Opus 5.5 $0.00025 $0.00569
Sonnet 5.5 $0.00012 $0.00285
Haiku 4.5 $0.00006 $0.00142

Measured 2mo ago against content hash 59bfdbf0e0bd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

setup-ssot 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 2mo 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.

plugins/starter/skills/setup-ssot/SKILL.md · 204 lines

How it starts

The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/setup-ssot

Configures SSOT documentation: docs/architecture.md, docs/adr/, docs/CODEMAPS/.

Mode Detection

Read .claude/starter-context.json if it exists:

  • Exists: use architecture, ssot.adr, ssot.codemaps fields — skip questions
  • Missing (standalone): ask which outputs to create, then gather architecture details

Flags

  • --architecture-only — write docs/architecture.md only, skip ADR and CODEMAPS
  • --adr — include ADR structure
  • --codemaps — include CODEMAPS structure
  • Flags can be combined: --adr --codemaps

Standalone Questions (when no context file)

Ask once, grouped:

Which outputs to create?

  • docs/architecture.md — architecture overview
  • docs/adr/ — ADR structure with ADR-0001
  • docs/CODEMAPS/ — codebase navigation guide

For each selected output, gather:

  • Project name and type (web app / API / CLI / lib)?
  • Primary stack (language + framework)?
  • Architecture style (monolith / microservices / modular monolith / event-driven)?
  • Key layers and their directories?
  • Entry points?
  • External dependencies (DB, queue, cache, external APIs)?
  • Directories/files that must NOT be edited manually?
  • Sensitive areas requiring extra care?

Output 1: docs/architecture.md

Draft from starter-context.json.architecture (or standalone answers). Use actual paths, not generic placeholders:

# Architecture Overview

*Generated by /shipwithai-starter on [DATE]. Edit directly.*

## System overview

[Project name] is a [type] built with [stack].
Architecture style: [monolith / microservices / modular monolith / event-driven].

## Key layers

| Layer | Directory | Responsibility |
|-------|-----------|----------------|
| [API] | [src/routes/] | [HTTP handlers, validation] |
| [Service] | [src/services/] | [Business logic] |
| [Data] | [src/db/] | [Database access, ORM] |

## Entry points

- `[src/index.ts]` → [main server, port 3000]
- `[src/worker.ts]` → [background job processor]

## External dependencies

| Service | Purpose | Connection |
|---------|---------|------------|
| [PostgreSQL] | [Primary database] | [DATABASE_URL] |
| [Redis] | [Session cache] | [REDIS_URL] |

## Key directories

[paste tree output or scan result]

## What to know before touching code

[Gotchas: generated dirs, build order, sensitive areas]

Read the full file on GitHub · 204 lines

Files

What ships with it

2 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. 2mo ago First seen · 204 lines · 62 tokens per session scan A 59bfdbf0e0bd

Subscribe to this mod's changes

setup-ssot is a skill published in the GitHub repository ShipWithAI/shipwithai-plugins (9 stars, last pushed 2mo ago), licensed MIT. It adds 62 tokens to every session and 1,423 once invoked, about $0.0002 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 2026-08-31.

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