An onboarding workflow for bringing an existing codebase into the Blueprint planning system. A brownfield project is an established project with working code, unlike a new project built from an empty starting point.

Surveying an existing repository, asking about goals the code cannot reveal, documenting verification and CI, creating project and build plans, and deciding whether workflow files should be committed.

It creates the planning documents and coding guidance from the real repository, so the team does not have to describe an existing system from scratch.

How aiblueprinthq/ai-blueprint configures Claude Code and Codex

Reuse

Borrowing it

Nothing to install: this file belongs to aiblueprinthq/ai-blueprint. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/aiblueprinthq/ai-blueprint/main/.agents/skills/adopt/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/aiblueprinthq/ai-blueprint

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/aiblueprinthq/ai-blueprint/adopt/github.svg)](https://agentmods.dev/skills/aiblueprinthq/ai-blueprint/adopt)

Your own site

<a href="https://agentmods.dev/skills/aiblueprinthq/ai-blueprint/adopt"><img src="https://agentmods.dev/badge/skills/aiblueprinthq/ai-blueprint/adopt/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/aiblueprinthq/ai-blueprint/adopt"><img src="https://agentmods.dev/badge/skills/aiblueprinthq/ai-blueprint/adopt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,603 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. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00054	$0.02603
Opus 5.5	$0.00022	$0.01041
Sonnet 5.5	$0.00011	$0.00521
Haiku 4.5	$0.00005	$0.00260

Measured 7d ago against content hash 293bb4d8cb3e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

adopt 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 7d 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.

.agents/skills/adopt/SKILL.md · 227 lines

How it starts

The opening of the file, as written. The whole thing — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.

adopt - bootstrap the blueprint from an existing codebase

Context reuse: Reuse any required file already loaded in project instructions or the current session. Read it again only if absent, changed, or exact current bytes or line references are needed.

First action: Before project inspection, preflight, or any other tool call, publish running to blueprint/.state/run.json when blueprint/.state/ exists. From the project root, run the first helper that exists, node .agents/skills/blueprint-doctor/scripts/run-state.mjs or node .claude/skills/blueprint-doctor/scripts/run-state.mjs, with start --command <skill> --summary "<truthful summary>" --boundary <read-only|reviewed|local-only>. Use update at milestones, with --status blocked --resume <command> for a blocker, and finish --status ready|completed at the end; --help lists every option and blueprint/workflow.md has the full activity contract. A missing or failing helper is a warning, not a blocker.

Where this sits in the workflow:

existing codebase  ->  [adopt]  ->  project-plan + build-plan + coding-standards  ->  /overview  ->  normal loop
(already has code)     (survey +     (seeded from the real code; shipped               (project-       (/feature,
                        interview)     features already checked off)                    overview.md)     /implement, ...)

The standard onboarding assumes a freshly scaffolded, near-empty app: you write the two plans from scratch and build forward. That doesn't fit a project that already has thousands of lines of working code. /adopt is the brownfield on-ramp: it reads what's already there, asks you only for what the code can't tell it (the why and the roadmap), and produces the same input files the rest of the workflow expects - so an existing project joins the loop without you hand-writing everything.

It generates the inputs; it does not generate project-overview.md. That stays /overview's job. /adopt ends by telling you to run /overview.

Read the full file on GitHub · 227 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.

7d ago Changed · +7 lines 293bb4d8cb3e
1mo ago Changed · +2 lines c59722d9171a
2mo ago Changed · +2 lines · -55 tokens per session 07fc03e6dc86
2mo ago First seen · 216 lines · 109 tokens per session scan A b9aaae104719

Subscribe to this mod's changes

adopt is a skill published in the GitHub repository aiblueprinthq/ai-blueprint (493 stars, last pushed 7d ago), licensed MIT. It adds 54 tokens to every session and 2,603 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 2026-08-30.

Planning

adopt next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
adoptaiblueprinthq/ai-blueprint	Skill	493	7d ago	MIT	A	54	Claude Code, Codex
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code

ai-blueprint: Skill for Claude Code