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.
curl -O https://raw.githubusercontent.com/aiblueprinthq/ai-blueprint/main/.agents/skills/adopt/SKILL.mdgit clone --depth 1 https://github.com/aiblueprinthq/ai-blueprintWrote 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.
[](https://agentmods.dev/skills/aiblueprinthq/ai-blueprint/adopt)<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.
<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>- NVIDIA SkillSpector pass
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 | $0.02425 |
| Opus 5 | $0.00027 | $0.01213 |
| Sonnet 5 | $0.00011 | $0.00485 |
| Haiku 4.5 | $0.00005 | $0.00243 |
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.
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).
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.
- 8d ago Changed · +2 lines · -55 tokens per session 07fc03e6dc86
- 12d ago First seen · 216 lines · 109 tokens per session scan A b9aaae104719
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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