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/codebase-inspection

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

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hermes-agent
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Install
$ npx -y skills add NousResearch/hermes-agent --skill codebase-inspection --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/codebase-inspection

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

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
platforms: [linux, macos, windows]
metadata:
  hermes:
    tags: [LOC, Code Analysis, pygount, Codebase, Metrics, Repository]
    related_skills: [github]
prerequisites:
  commands: [pygount]

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.

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