ai-blueprint: Skill for Claude Code

.agents/skills/adopt/SKILL.md

adopt is a skill for Claude Code, Codex from aiblueprinthq/ai-blueprint. It costs 54 tokens per session (2,425 once invoked), scanned A, original, MIT.

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.

In plain words
What is it for?
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.
Why use it?
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.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md; installed under .agents/ (shared by several agents); mentions AGENTS.md.

This is aiblueprinthq/ai-blueprint's own configuration. It tells Claude Code and Codex how to work on ai-blueprint itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ai-blueprint configures →

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.

agentmods badge for adopt

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.

agentmods 80×15 button for adopt

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 2,425 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00054 $0.02425
Opus 5 $0.00027 $0.01213
Sonnet 5 $0.00011 $0.00485
Haiku 4.5 $0.00005 $0.00243

Measured 8d ago against content hash 07fc03e6dc86, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, 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 8d 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 · 218 lines

How it starts

The opening of the file, as written. The whole thing — 218 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 using the dashboard activity contract in AGENTS.md.

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.

Input

A description of what the project is, if the user offers one. Otherwise just the repository itself. No argument is required.

Step 0 - confirm it's brownfield and safe

Look at blueprint/project-plan.md and blueprint/build-plan.md.

  • If they're missing or still the empty worksheet/placeholder, proceed.
  • If they already hold real content, this project is already adopted. Stop and say so; offer to refresh a specific file instead of overwriting work the user owns.

Never overwrite a filled-in plan without explicit confirmation. Never run a framework scaffolder (the blueprint is an overlay, never a generator).

Read the full file on GitHub · 218 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. 8d ago Changed · +2 lines · -55 tokens per session 07fc03e6dc86
  2. 12d 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 (399 stars, last pushed today), licensed MIT. It adds 54 tokens to every session and 2,425 once invoked, about $0.0003 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 2026-08-30.

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