/codebase-inspection
Inspect codebases w/ pygount: LOC, languages, ratios.
$ npx -y skills add NousResearch/hermes-agent --skill codebase-inspection --agent claude-codeHow 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.mdname: 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.
Read more
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.
The self-improving AI agent built by Nous Research. It's the only agent with a built-in learning loop — it creates skills from experience, improves them during use, nudges itself to persist knowledge, searches its own past conversations, and builds a
Repo: NousResearch/hermes-agent

