openclaw-skills/codebase-inspection/SKILL.md
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.
npx skillsauth add seaworld008/commonly-used-high-value-skills codebase-inspectionInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Analyze repositories for lines of code, language breakdown, file counts, and code-vs-comment ratios using pygount.
pip install --break-system-packages pygount 2>/dev/null || pip install pygount
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.
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"
# Only count Python files
pygount --suffix=py --format=summary .
# Only count Python and YAML
pygount --suffix=py,yaml,yml --format=summary .
# 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
# 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
The summary table columns:
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--folders-to-skip, pygount will crawl everything and may take minutes or hang on large dependency trees.wc -l directly.--suffix to target specific languages rather than scanning everything.development
飞书知识库:管理知识空间、空间成员和文档节点。创建和查询知识空间、查看和管理空间成员、管理节点层级结构、在知识库中组织文档和快捷方式。当用户需要在知识库中查找或创建文档、浏览知识空间结构、查看或管理空间成员、移动或复制节点时使用。当用户给出 doubao.com 的 /wiki/ URL/token 时,也应直接使用本 skill,不要因为域名不是飞书而回退到 WebFetch;路由依据是 URL 路径模式和 token,而不是域名。
tools
飞书画板:查询和编辑飞书云文档中的画板。支持导出画板为预览图片、导出原始节点结构、使用 DSL(转成 OpenAPI 格式)、PlantUML/Mermaid 格式更新画板内容。 当用户需要查看画板内容、导出画板图片、编辑画板,或是需要可视化表达架构、流程、组织关系、时间线、因果、对比等结构化信息时使用此 skill,无论是否提及\"画板\"。 ⚠️ 原 `lark-whiteboard-cli` skill 已合并至本 skill,若 skill 列表中同时存在 `lark-whiteboard-cli`,请忽略它,统一使用本 skill(`lark-whiteboard`),并提示用户运行 `npx skills remove lark-whiteboard-cli -g` 删除旧 skill。
testing
飞书视频会议:搜索历史会议、查询会议纪要产物(总结、待办、章节、逐字稿)、查询会议参会人快照。1. 查询已经结束的会议数量或详情时使用本技能(如历史日期|昨天|上周|今天已经开过的会议等场景),查询未开始的会议日程使用 lark-calendar 技能。2. 支持通过关键词、时间范围、组织者、参与者、会议室等筛选条件搜索会议。3. 获取或整理会议纪要、逐字稿、录制产物时使用本技能。4. 查询“谁参加过某会议”“参会人列表”等参会人快照信息用 vc meeting get --with-participants(任意时点可查,含已结束会议)。注意:**Agent 真实入会/离会、感知正在进行中会议的实时事件**请使用 lark-vc-agent 技能,本技能不覆盖写操作和会中事件流。
data-ai
飞书会议机器人入会、离会和会中事件读取。