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Code Stats

Community
DeadHead04
code-stats

Analyzes code files and reports statistics including line counts, file counts by extension, and total size. Use this skill whenever the user wants to understand the composition of a codebase - asking about "how many lines of code", "what file types exist", "code distribution", or needing a quick audit of project size and structure. Make sure to invoke this skill when users mention analyzing codebases, counting lines, checking file distributions, or auditing code.

Overview

PublisherDeadHead04
RepositoryskillEd
Skill namecode-stats
Stars
74
Forks
6
Bundled files
6
LicenseApache-2.0
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.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by DeadHead04 on GitHub. Read the source before you install it.

Installation

Install the Code Stats 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.
    https://github.com/DeadHead04/skillEd/tree/main/examples/code-stats
  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/DeadHead04/skillEd.git /tmp/skillEd
mkdir -p .claude/skills
cp -r /tmp/skillEd/examples/code-stats .claude/skills/code-stats
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Code Stats 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 Code Stats 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 Code Stats 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.

Code Stats Skill

Analyzes code files and generates statistics about a codebase.

Usage

When invoked, this skill will:

  1. Scan the specified directory (defaults to current directory)
    • Exclude node_modules/, .git/, dist/, and build/ unless the user explicitly asks to count them. These are dependencies, repository metadata, or generated output rather than project source.
  2. Count total lines, files by extension
  3. Report the largest files
  4. Output results in a structured format
  5. Sort extension summaries by total line count in descending order

Output Format

Always use this exact format for the output:

# Code Statistics

## Summary
- Total Files: <count>
- Total Lines: <count>
- Total Size: <size_bytes> bytes

## Files by Extension
| Extension | Files | Lines |
|-----------|-------|-------|
| .go | 12 | 1500 |
| .md | 5 | 200 |

## Top 5 File Extensions by Line Count
1. .go — 1500 lines
2. .md — 200 lines

## Largest Files (top 5)
1. main.go (500 lines)
2. util.go (300 lines)

If a file has no extension, group it under (no ext) in both extension sections.

Process

  1. Use Bash with find to locate project files, pruning the excluded directories
  2. Use Bash with wc -l to count lines per file
  3. Group files with no extension under (no ext)
  4. Sort both extension summaries by total line count in descending order
  5. Aggregate the results into the output format above
  6. If no directory is specified, analyze the current working directory

Examples

  • "Analyze the current directory"
  • "Run code-stats on ./src"
  • "Show me file type distribution"
  • "How many lines of Python do we have?"

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Code Stats AI skill do?

Analyzes code files and reports statistics including line counts, file counts by extension, and total size. Use this skill whenever the user wants to understand the composition of a codebase - asking about "how many lines of code", "what file types exist", "code distribution", or needing a quick audit of project size and structure. Make sure to invoke this skill when users mention analyzing codebases, counting lines, checking file distributions, or auditing code.

Why use Code Stats on TypingMind?

Because you install it once and use it with any model. Code Stats 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 Code Stats in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/DeadHead04/skillEd/tree/main/examples/code-stats. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Code Stats?

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 Code Stats?

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

Is the Code Stats AI skill free?

Yes. It is published on GitHub by DeadHead04 under the Apache-2.0 license. 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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