Skip to content
Development
Skill

/codebase-inspection

Inspect codebases w/ pygount: LOC, languages, ratios.

From plugin
ai-agent-skills
14169 skills

Claude Code

$ npx -y skills add kevinnft/ai-agent-skills --skill codebase-inspection --agent claude-code

SKILL.md

codebase-inspection.SKILL.md
name: codebase-inspection
description: "Inspect codebases w/ pygount: LOC, languages, ratios."
version: 1.0.0
author: Hermes Agent
license: MIT
metadata:
  hermes:
    tags: [LOC, Code Analysis, pygount, Codebase, Metrics, Repository]
    related_skills: [github-repo-management]
prerequisites:
  commands: [pygount]
origin: original
source_repo: kevinnft/ai-agent-skills
source_url: https://github.com/kevinnft/ai-agent-skills
source_license: MIT
language: en

Codebase Inspection with pygount

Analyze repositories for lines of code, language breakdown, file counts, and code-vs-comment ratios using `pygount`.

When to Use

  • User asks for LOC (lines of code) count
  • User wants a language breakdown of a repo
  • User asks about codebase size or composition
  • User wants code-vs-comment ratios
  • General "how big is this repo" questions

Prerequisites

pip install --break-system-packages pygount 2>/dev/null || pip install pygount

1. Basic Summary (Most Common)

Get a full language breakdown with file counts, code lines, and comment lines:

cd /path/to/repo
pygount --format=summary \
  --folders-to-skip=".git,node_modules,venv,.venv,__pycache__,.cache,dist,build,.next,.tox,.eggs,*.egg-info" \
  .

**IMPORTANT:** Always use `--folders-to-skip` to exclude dependency/build directories, otherwise pygount will crawl them and take a very long time or hang.

2. Common Folder Exclusions

Adjust based on the project type:

# Python projects
--folders-to-skip=".git,venv,.venv,__pycache__,.cache,dist,build,.tox,.eggs,.mypy_cache"

# JavaScript/TypeScript projects
--folders-to-skip=".git,node_modules,dist,build,.next,.cache,.turbo,coverage"

# General catch-all
--folders-to-skip=".git,node_modules,venv,.venv,__pycache__,.cache,dist,build,.next,.tox,vendor,third_party"

3. Filter by Specific Language

# Only count Python files
pygount --suffix=py --format=summary .

# Only count Python and YAML
pygount --suffix=py,yaml,yml --format=summary .

4. Detailed File-by-File Output

# Default format shows per-file breakdown
pygount --folders-to-skip=".git,node_modules,venv" .

# Sort by code lines (pipe through sort)
pygount --folders-to-skip=".git,node_modules,venv" . | sort -t$'\t' -k1 -nr | head -20

5. Output Formats

# Summary table (default recommendation)
pygount --format=summary .

# JSON output for programmatic use
pygount --format=json .

# Pipe-friendly: Language, file count, code, docs, empty, string
pygount --format=summary . 2>/dev/null

6. Interpreting Results

The summary table columns:

  • **Language** — detected programming language
  • **Files** — number of files of that language
  • **Code** — lines of actual code (executable/declarative)
  • **Comment** — lines that are comments or documentation
  • **%** — percentage of total

Special pseudo-languages:

  • `__empty__` — empty files
  • `__binary__` — binary files (images, compiled, etc.)
  • `__generated__` — auto-generated files (detected heuristically)
  • `__duplicate__` — files with identical content
  • `__unknown__` — unrecognized file types

Pitfalls

1. **Always exclude .git, node_modules, venv** — without `--folders-to-skip`, pygount will crawl everything and may take minutes or hang on large dependency trees. 2. **Markdown shows 0 code lines** — pygount classifies all Markdown content as comments, not code. This is expected behavior. 3. **JSON files show low code counts** — pygount may count JSON lines conservatively. For accurate JSON line counts, use `wc -l` directly. 4. **Large monorepos** — for very large repos, consider using `--suffix` to target specific languages rather than scanning everything.

Read more
@kevinnft
Ships withai-agent-skills

191 attribution-first agent skills for Hermes Agent, Claude Code, Cursor — one installer, 28 categories, searchable catalog. See NOTICE for upstream attribution.

Stars on GitHub

Momentum

stars in total
14
Star history of kevinnft/ai-agent-skills on GitHub, a chart by star-history.com

Other skills on ai-agent-skills.

More skills from other plugins.

brainstorming
Auto-invoked

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or…

@obra@obraInstall Skill
ask-matt

ask-matt

Ask which skill or flow fits your situation. A router over the skills in this repo.

skills13d309k
@mattpocock@mattpocockInstall Skill
accessibility
Auto-invoked

accessibility

Design, implement, and audit accessible UI to WCAG 2.2 Level AA across Web, iOS, and Android — semantic ARIA roles and labels,…

ecc2w293k
@affaan-m@affaan-mInstall Skill
compiler-commit

compiler-commit

Use when you want to verify compiler changes and commit with the correct convention. Runs tests, lint, and format, then commits…

react4d252k
@facebook@facebookInstall Skill

Questions about codebase-inspection.

Which coding agents can use codebase-inspection?
codebase-inspection installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.