A project check that looks for missing development practices, such as linting tools that catch code-style problems or unit tests that check small pieces of code. It can either recommend changes or implement the top recommendation for each identified gap.

Use it to scan a repository for missing linting or unit-testing support, adopt the recommended practice, or generate recommendations without changing the project.

It helps identify basic engineering practices the project lacks and can handle the setup, configuration, verification, and commit for selected improvements.

do-adopt — Skill for Claude Code and Codex by thermiteau: A project check that looks for missing development practices…

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.

agentmods

npx agentmods add skills/thermiteau/maverick/do-adopt

Any agent

npx skills add thermiteau/maverick --skill do-adopt

Clone the repo

git clone --depth 1 https://github.com/thermiteau/maverick

Made for: Claude Code, Codex.

Or install maverick, the plugin that ships this one along with the rest of its 41 skills, 5 agents, 5 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/thermiteau/maverick/do-adopt.svg)](https://agentmods.dev/skills/thermiteau/maverick/do-adopt)

Your own site

<a href="https://agentmods.dev/skills/thermiteau/maverick/do-adopt"><img src="https://agentmods.dev/badge/skills/thermiteau/maverick/do-adopt.svg" alt="Measured on agentmods" height="20"></a>

Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,622 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

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	$0.00061	$0.01622
Opus 5	$0.00030	$0.00811
Sonnet 5	$0.00012	$0.00324
Haiku 4.5	$0.00006	$0.00162

Measured 5d ago against content hash a19ff0b90f06, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

do-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 5d 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/do-adopt/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Adopt Best-Practice Technologies

Scan the current project for missing best-practice areas and implement the top recommendation for each gap — or, in recommend mode, stop after producing recommendations without installing anything.

Modes and Invocation

$ARGUMENTS may contain a topic name, the word recommend, or both:

(empty) — adopt every gap topic in the table below.
<topic> — adopt that one topic only.
recommend [<topic>] — recommend-only mode: perform the same detection and analysis, write the recommendation as a status: recommended project skill (see step 5R), and implement nothing. This replaces the old standalone do-recommend skill.

Do not prompt the user for which topics to process.

Topics

Topic	Best-Practice Skill
linting	mav-bp-linting
unit-testing	mav-bp-testing

Detection hints for each topic come from the shared registry — ${CLAUDE_PLUGIN_ROOT}/skills/do-upskill/topics.json (scanHints per topic). Do not maintain a separate detection list here.

Process

For each topic:

1. Check Whether the Practice Already Exists

Apply the topic's scanHints (dependencies, grep patterns, file globs) plus a check for CI steps that run the tool. If the practice is already implemented (configs exist, dependencies present, actively used), skip the topic. Print: <topic>: already implemented, skipping.

2. Identify the Project's Tech Stack

Determine the primary language(s) and framework(s) by reading:

package.json (Node/JS/TS, look at framework deps like react, vue, express, etc.)
pyproject.toml / requirements.txt (Python)
go.mod (Go)
Cargo.toml (Rust)
build.gradle.kts / pom.xml (JVM)
Source file extensions and directory structure

3. Read the Best-Practice Skill

Read the corresponding best-practice skill (${CLAUDE_PLUGIN_ROOT}/skills/<skill-name>/SKILL.md) to understand the recommended tools and configuration standards for the detected stack.

Read the full file on GitHub · 135 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.

5d ago First seen · 135 lines · 61 tokens per session scan A a19ff0b90f06

Subscribe to this mod's changes

do-adopt is a skill published in the GitHub repository thermiteau/maverick (11 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 61 tokens to every session and 1,622 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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