Generates a full dedicated Docusaurus page for every one of the 132 skills
(73 bundled + 59 optional) under website/docs/user-guide/skills/{bundled,optional}/<category>/.
Each page carries the skill's description, metadata (version, author, license,
dependencies, platform gating, tags, related skills cross-linked to their own
pages), and the complete SKILL.md body that Hermes loads at runtime.
Previously the two catalog pages just listed skills with a one-line blurb and
no way to see what the skill actually did — users had to go read the source
repo. Now every skill has a browsable, searchable, cross-linked reference in
the docs.
- website/scripts/generate-skill-docs.py — generator that reads skills/ and
optional-skills/, writes per-skill pages, regenerates both catalog indexes,
and rewrites the Skills section of sidebars.ts. Handles MDX escaping
(outside fenced code blocks: curly braces, unsafe HTML-ish tags) and
rewrites relative references/*.md links to point at the GitHub source.
- website/docs/reference/skills-catalog.md — regenerated; each row links to
the new dedicated page.
- website/docs/reference/optional-skills-catalog.md — same.
- website/sidebars.ts — Skills section now has Bundled / Optional subtrees
with one nested category per skill folder.
- .github/workflows/{docs-site-checks,deploy-site}.yml — run the generator
before docusaurus build so CI stays in sync with the source SKILL.md files.
Build verified locally with `npx docusaurus build`. Only remaining warnings
are pre-existing broken link/anchor issues in unrelated pages.
4.3 KiB
| title | sidebar_label | description |
|---|---|---|
| Codebase Inspection | Codebase Inspection | Inspect and analyze codebases using pygount for LOC counting, language breakdown, and code-vs-comment ratios |
{/* This page is auto-generated from the skill's SKILL.md by website/scripts/generate-skill-docs.py. Edit the source SKILL.md, not this page. */}
Codebase Inspection
Inspect and analyze codebases using pygount for LOC counting, language breakdown, and code-vs-comment ratios. Use when asked to check lines of code, repo size, language composition, or codebase stats.
Skill metadata
| Source | Bundled (installed by default) |
| Path | skills/github/codebase-inspection |
| Version | 1.0.0 |
| Author | Hermes Agent |
| License | MIT |
| Tags | LOC, Code Analysis, pygount, Codebase, Metrics, Repository |
| Related skills | github-repo-management |
Reference: full SKILL.md
:::info The following is the complete skill definition that Hermes loads when this skill is triggered. This is what the agent sees as instructions when the skill is active. :::
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
- Always exclude .git, node_modules, venv — without
--folders-to-skip, pygount will crawl everything and may take minutes or hang on large dependency trees. - Markdown shows 0 code lines — pygount classifies all Markdown content as comments, not code. This is expected behavior.
- JSON files show low code counts — pygount may count JSON lines conservatively. For accurate JSON line counts, use
wc -ldirectly. - Large monorepos — for very large repos, consider using
--suffixto target specific languages rather than scanning everything.