Teknium
c49fa88b80
* refactor(skills): shipped-set slim — 15 skills to optional, github six-way merge, pdf absorbs OCR+nano-pdf, channel-gated teams pipeline
Maintainer-directed shipped-skills curation (skills index 1,900 -> ~1,400
tok/call on desktop; every session pays the index, so this is a per-call
diet on all installs):
- optional-skills moves (installable via skills hub, history preserved):
creative comfyui/ascii-art/excalidraw/pretext/sketch/touchdesigner-mcp;
ALL of mlops (huggingface-hub, llama-cpp, serving-llms-vllm,
weights-and-biases, evaluating-llms-harness — subcategory structure
kept); research-paper-writing (55 supporting files, 17.3K-tok load);
openhue; blogwatcher (first taught the cronjob monitor-field watch
pattern + web_extract instead of pre-cron manual workflows)
- DELETED session-librarian (Aug-12 'inspired by Perplexity Computer'
port, never maintainer-intended; session_search covers discovery)
- github: six skills (auth, issues, pr-workflow, issue-to-pr,
code-review, repo-management) merged into ONE software-development/
github skill — routing body + complete per-workflow references;
benbarclay authorship credited; codebase-inspection rides along;
discipline pins from test_github_issue_to_pr_skill.py preserved
against the reference body in the new test_github_skill.py
- pdf absorbs ocr-and-documents + nano-pdf as references/ + scripts
(extract_pymupdf, extract_marker converted to the argparse house
standard its contract test enforces)
- NEW session_platforms frontmatter gate (metadata.hermes): hides a
skill from the index on gateway channels it is not for; fail-open on
unknown platform; teams-meeting-pipeline gated to [teams, cron]
- blocked-page-recovery: research -> new web category; trigger-first
description ('Use when a fetch fails: 403/429, paywall, WAF, bot
wall.') so the model actually reaches for it on blocked fetches
- docs regenerated via generate-skill-docs.py (195 pages); related_skills
swept repo-wide; tests: 1672 passed (2 openclaw failures pre-existing
on clean main, Windows-local)
* chore: ignore .skills_prompt_snapshot.json (local index cache, accidentally committed)
117 lines
3.5 KiB
Markdown
117 lines
3.5 KiB
Markdown
---
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name: codebase-inspection
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description: "Inspect codebases w/ pygount: LOC, languages, ratios."
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version: 1.0.0
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author: Hermes Agent
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license: MIT
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platforms: [linux, macos, windows]
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metadata:
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hermes:
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tags: [LOC, Code Analysis, pygount, Codebase, Metrics, Repository]
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related_skills: [github]
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prerequisites:
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commands: [pygount]
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---
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# Codebase Inspection with pygount
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Analyze repositories for lines of code, language breakdown, file counts, and code-vs-comment ratios using `pygount`.
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## When to Use
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- User asks for LOC (lines of code) count
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- User wants a language breakdown of a repo
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- User asks about codebase size or composition
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- User wants code-vs-comment ratios
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- General "how big is this repo" questions
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## Prerequisites
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```bash
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pip install --break-system-packages pygount 2>/dev/null || pip install pygount
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```
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## 1. Basic Summary (Most Common)
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Get a full language breakdown with file counts, code lines, and comment lines:
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```bash
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cd /path/to/repo
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pygount --format=summary \
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--folders-to-skip=".git,node_modules,venv,.venv,__pycache__,.cache,dist,build,.next,.tox,.eggs,*.egg-info" \
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.
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```
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**IMPORTANT:** Always use `--folders-to-skip` to exclude dependency/build directories, otherwise pygount will crawl them and take a very long time or hang.
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## 2. Common Folder Exclusions
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Adjust based on the project type:
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```bash
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# Python projects
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--folders-to-skip=".git,venv,.venv,__pycache__,.cache,dist,build,.tox,.eggs,.mypy_cache"
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# JavaScript/TypeScript projects
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--folders-to-skip=".git,node_modules,dist,build,.next,.cache,.turbo,coverage"
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# General catch-all
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--folders-to-skip=".git,node_modules,venv,.venv,__pycache__,.cache,dist,build,.next,.tox,vendor,third_party"
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```
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## 3. Filter by Specific Language
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```bash
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# Only count Python files
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pygount --suffix=py --format=summary .
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# Only count Python and YAML
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pygount --suffix=py,yaml,yml --format=summary .
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```
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## 4. Detailed File-by-File Output
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```bash
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# Default format shows per-file breakdown
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pygount --folders-to-skip=".git,node_modules,venv" .
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# Sort by code lines (pipe through sort)
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pygount --folders-to-skip=".git,node_modules,venv" . | sort -t$'\t' -k1 -nr | head -20
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```
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## 5. Output Formats
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```bash
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# Summary table (default recommendation)
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pygount --format=summary .
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# JSON output for programmatic use
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pygount --format=json .
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# Pipe-friendly: Language, file count, code, docs, empty, string
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pygount --format=summary . 2>/dev/null
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```
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## 6. Interpreting Results
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The summary table columns:
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- **Language** — detected programming language
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- **Files** — number of files of that language
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- **Code** — lines of actual code (executable/declarative)
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- **Comment** — lines that are comments or documentation
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- **%** — percentage of total
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Special pseudo-languages:
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- `__empty__` — empty files
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- `__binary__` — binary files (images, compiled, etc.)
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- `__generated__` — auto-generated files (detected heuristically)
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- `__duplicate__` — files with identical content
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- `__unknown__` — unrecognized file types
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## Pitfalls
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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.
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2. **Markdown shows 0 code lines** — pygount classifies all Markdown content as comments, not code. This is expected behavior.
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3. **JSON files show low code counts** — pygount may count JSON lines conservatively. For accurate JSON line counts, use `wc -l` directly.
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4. **Large monorepos** — for very large repos, consider using `--suffix` to target specific languages rather than scanning everything.
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