Boy Scout Rule logo

Boy Scout Rule

Organization
TheBushidoCollective
boy-scout-rule

Use when modifying existing files, refactoring, improving code quality, or touching legacy code by applying the Boy Scout Rule to leave code better than you found it.

Overview

PublisherTheBushidoCollective
Repositoryhan
Skill nameboy-scout-rule
Stars
195
Forks
20
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by TheBushidoCollective on GitHub. Read the source before you install it.

Installation

Install the Boy Scout Rule AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/TheBushidoCollective/han.git /tmp/han
mkdir -p .claude/skills
cp -r /tmp/han/plugins/core/skills/boy-scout-rule .claude/skills/boy-scout-rule
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Boy Scout Rule in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Boy Scout Rule on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Boy Scout Rule is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Boy Scout Rule

"Leave the campground cleaner than you found it."

Always leave code better than you found it. Make incremental improvements when you touch a file.

What to Improve

Code Quality:

  • Remove dead code (commented blocks, unused functions)
  • Fix linting issues in files you touch
  • Improve unclear naming (x, temp, data → descriptive)
  • Add type annotations (TypeScript/Elixir @spec)
  • Extract magic numbers to named constants
  • Simplify complex logic
  • Add missing error handling
  • Update outdated comments
  • Fix formatting
  • Remove unused imports/variables
  • Consolidate duplication

What NOT to Do

  • ❌ Massive unrelated refactors
  • ❌ Change behavior without tests
  • ❌ Fix everything in the file (stay focused)
  • ❌ Breaking changes without tests
  • ❌ Premature optimization
  • ❌ Change unrelated sections

Process

  1. Before changes: Read file, note obvious issues, run linter
  2. Make primary changes: Implement feature/fix, write tests
  3. Apply improvements: Fix linting, improve naming, add types, extract constants, remove dead code
  4. Run verification: mix lint && mix test or yarn test:lint && yarn ts:check && yarn test
  5. Document: Include boy scout changes in commit message

Example Commit Message

text
Add worker search filter

- Implement location-based filtering
- Add tests for search radius

Boy Scout improvements:
- Extract SEARCH_RADIUS constant
- Add type annotations to helper functions
- Remove unused import statements
- Improve variable naming in search logic

Example Improvements

Before:

typescript
function calculateTotal(items) {  // No types
  let t = 0;  // Poor naming
  for (let i = 0; i < items.length; i++) {  // Old-style
    t += items[i].price * 1.08;  // Magic number
  }
  return t;
}

After:

typescript
const TAX_RATE = 1.08;

function calculateTotal(items: Item[]): number {
  return items.reduce((total, item) => {
    return total + (item.price * TAX_RATE);
  }, 0);
}

Improvements: types, constant, naming, modern syntax, simplified.

Critical Rules

  • Keep improvements in same commit as primary changes
  • Focus on "blast radius" (code near your changes)
  • Prioritize readability over cleverness
  • Always run full test suite after improvements
  • Ask for help when unsure about business logic
  • Small improvements > perfect refactors

Checklist

  • Removed dead code in files I touched
  • Fixed linting issues
  • Improved naming where I made changes
  • Added type annotations where missing
  • Extracted magic numbers
  • Updated outdated comments
  • Removed unused imports
  • Simplified complex logic
  • Added error handling
  • All tests pass
  • No new linting errors
  • Documented in commit message

Integration

During implementation: Make changes, apply boy scout, verify, commit together

During code review: Look for boy scout opportunities, recognize good boy scouting

During bug fixes: Fix bug, improve surrounding code, add tests, clean up

Remember

Incremental improvement, not perfection

  • Small improvements compound over time
  • Every file touched is an opportunity
  • Be a good steward of the codebase
  • When in doubt, ask for review on larger improvements

Frequently asked questions

What does the Boy Scout Rule AI skill do?

Use when modifying existing files, refactoring, improving code quality, or touching legacy code by applying the Boy Scout Rule to leave code better than you found it.

Why use Boy Scout Rule on TypingMind?

Because you install it once and use it with any model. Boy Scout Rule is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Boy Scout Rule in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TheBushidoCollective/han/tree/main/plugins/core/skills/boy-scout-rule. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Boy Scout Rule?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Boy Scout Rule?

As many as you like. As long as a model supports skills, you can use Boy Scout Rule with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Boy Scout Rule AI skill free?

It is published on GitHub by TheBushidoCollective. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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