Code Stats

Organization

aiskillstore

code-stats

Analyze codebase with tokei (fast line counts by language) and difft (semantic AST-aware diffs). Get quick project overview without manual counting. Triggers on: how big is codebase, count lines of code, what languages, show semantic diff, compare files, code statistics.

Overview

Publisher	aiskillstore
Repository	`marketplace`
Skill name	`code-stats`
Stars	427
Forks	45
Bundled files	3
License	MIT
Links	Skill source Repository Homepage

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.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by aiskillstore 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.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/aiskillstore/marketplace.git /tmp/marketplace
mkdir -p .claude/skills
cp -r /tmp/marketplace/skills/0xdarkmatter/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 Statistics

Quickly analyze codebase size, composition, and changes.

tokei - Line Counts

bash
# Count all code
tokei

# Compact output sorted by code
tokei --compact --sort code

# Specific languages
tokei --type=TypeScript,JavaScript

# Exclude directories
tokei --exclude node_modules --exclude dist

# JSON output for scripting
tokei --output json | jq '.Total.code'

Sample Output


===============================================================================
 Language            Files        Lines         Code     Comments       Blanks
===============================================================================
 TypeScript             45        12847         9823         1456         1568
 JavaScript             12         2341         1876          234          231
-------------------------------------------------------------------------------
 Total                  57        15188        11699         1690         1799
===============================================================================

difft - Semantic Diffs

bash
# Compare files
difft old.ts new.ts

# Inline mode
difft --display=inline old.ts new.ts

# With git
GIT_EXTERNAL_DIFF=difft git diff
GIT_EXTERNAL_DIFF=difft git show HEAD~1

Why Semantic?

Traditional diff	difft
Line-by-line	AST-aware
Shows moved as delete+add	Recognizes moves
Whitespace sensitive	Ignores formatting

Quick Reference

Task	Command
Count all code	`tokei`
Compact output	`tokei --compact`
Sort by code	`tokei --sort code`
TypeScript only	`tokei -t TypeScript`
JSON output	`tokei --output json`
Exclude dir	`tokei --exclude node_modules`
Semantic diff	`difft file1 file2`
Git diff	`GIT_EXTERNAL_DIFF=difft git diff`

When to Use

Getting quick codebase overview
Comparing code changes semantically
Understanding project composition
Reviewing refactoring impact
Tracking codebase growth

Additional Resources

For detailed patterns, load:

./references/tokei-advanced.md - Filtering, output formats, CI integration
./references/difft-advanced.md - Display modes, git integration, language support

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?

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/aiskillstore/marketplace/tree/main/skills/0xdarkmatter/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 aiskillstore under the MIT 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Code Statistics

tokei - Line Counts

Sample Output

difft - Semantic Diffs

Why Semantic?

Quick Reference

When to Use

Additional Resources

Bundled files

Frequently asked questions

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