brownfield-onboarding

brownfield-onboarding is a skill for Claude Code from vmobifystudio/app-dev-team. It costs 81 tokens per session (1,170 once invoked), scanned A, original, MIT.

A procedure for understanding an existing software app before changing it. It identifies the technology stack, describes how the app is built, and separates safe fixes from changes that need approval.

In plain words
What is it for?
It helps onboard a team to an existing codebase, audit its current state, and plan work to close gaps.
Why use it?
Starting with an existing app can be risky because its actual structure may differ from its documentation. This gives the team a factual starting point and highlights risky work.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions CLAUDE.md.

Part of the app-dev-team plugin — 32 skills, 27 commands, 30 agents, 2 hooks shipped together

Good fit It helps onboard a team to an existing codebase, audit its current state, and plan work to close gaps.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vmobifystudio/app-dev-team/brownfield-onboarding
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 vmobifystudio/app-dev-team --skill brownfield-onboarding
Clone the repo
git clone --depth 1 https://github.com/vmobifystudio/app-dev-team

Made for: Claude Code.

Or install app-dev-team, the plugin that ships this one along with the rest of its 32 skills, 27 commands, 30 agents, 2 hooks.

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 brownfield-onboarding

README.md
[![agentmods](https://agentmods.dev/badge/skills/vmobifystudio/app-dev-team/brownfield-onboarding/github.svg)](https://agentmods.dev/skills/vmobifystudio/app-dev-team/brownfield-onboarding)
Your own site
<a href="https://agentmods.dev/skills/vmobifystudio/app-dev-team/brownfield-onboarding"><img src="https://agentmods.dev/badge/skills/vmobifystudio/app-dev-team/brownfield-onboarding/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 brownfield-onboarding

Your own site · 80×15
<a href="https://agentmods.dev/skills/vmobifystudio/app-dev-team/brownfield-onboarding"><img src="https://agentmods.dev/badge/skills/vmobifystudio/app-dev-team/brownfield-onboarding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,170 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 $0.00081 $0.01170
Opus 5.5 $0.00032 $0.00468
Sonnet 5.5 $0.00016 $0.00234
Haiku 4.5 $0.00008 $0.00117

Measured 1mo ago against content hash 178c20f085e7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

brownfield-onboarding 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 1mo 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.

skills/brownfield-onboarding/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Brownfield onboarding

Greenfield commands generate vision → PRD → architecture → code. For an app that already exists, you go the other way: read the code, snapshot what's there, grade it against the House KB, and plan the gap. This skill is the procedure for the "read and understand" half.

When to use

  • /app-onboard (adopt an existing codebase) and /app-audit (grade it) both start here.
  • /app-run invokes this when the target directory already contains an app (see Detection).

Step 1 — Detect the app

Scan the target directory (not deeper than ~3 levels) to establish ground truth before any agent reasons about it:

  • iOS: *.xcodeproj / *.xcworkspace / Package.swift; read project.yml (XcodeGen), *.xcconfig, Info.plist, Package.resolved. Note Swift version, min iOS target, SwiftUI vs UIKit.
  • Android: settings.gradle*, app/build.gradle(.kts), gradle/libs.versions.toml. Note Kotlin/AGP, compileSdk/minSdk/targetSdk, Compose vs XML, the module list.
  • Both / signals: existing CLAUDE.md, README, docs/, CI under .github/workflows, google-services.json/GoogleService-Info.plist presence (Firebase), ads/billing SDKs in deps.
  • Neither iOS nor Android: that is a normal answer, not a dead end. Read the package manifests — package.json, go.mod, Cargo.toml, pyproject.toml, pom.xml — plus Dockerfile, Procfile, and whether there is a UI surface or a binary entry point. role-activation's detection table maps what you find to one of the seven product types.
  • Record the raw findings; do not guess where you can read. The product type you land on decides which specialists ever get spawned, so an ambiguous tree earns one question to the user.

Step 2 — Reverse-engineer the as-built baseline

Produce the docs the team normally writes, but describing what exists, not what's wished for:

  • docs/20-architecture.md — the actual stack, module/folder layout, state/persistence/DI/nav patterns in use, backend, CI, signing. Mark anything inferred as (inferred).
  • A feature inventory in docs/10-prd.md — the screens/features that exist, derived from the code (navigation graph, view/screen files). Ask the user only for product intent you cannot read.
  • CLAUDE.md at the project root if missing — seeded from the as-built architecture + the House KB, pinning the real stack, build/run commands, and canonical type/property names found in the code.

Read the full file on GitHub · 82 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. 1mo ago First seen · 82 lines · 81 tokens per session scan A 178c20f085e7

Subscribe to this mod's changes

brownfield-onboarding is a skill published in the GitHub repository vmobifystudio/app-dev-team (4 stars, last pushed 4d ago), licensed MIT. It adds 81 tokens to every session and 1,170 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 2026-09-03.

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