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tooyoung%3acodebase-statsTooyoung%3a 代码库统计数据

Agent Skill

tooyoung%3acodebase-stats 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

245

周安装

10

GitHub Stars

15

下载量

78
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:tooyoung%3acodebase-stats(Tooyoung%3a 代码库统计数据)
来源仓库:https://github.com/shiqkuangsan/oh-my-daily-skills
仓库路径:skills/tooyoung%3Acodebase-stats
安装命令:
npx skills add https://github.com/shiqkuangsan/oh-my-daily-skills --skill tooyoung:codebase-stats
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/shiqkuangsan/oh-my-daily-skills --skill tooyoung:codebase-stats

简介

用于查找、检索和筛选代码库统计数据相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据来源线索定位候选结果。
  • 通过 npx 命令从 GitHub 仓库安装并使用。
  • 安装前需确认权限范围和维护状态,注意可能触发联网或文件操作。
  • tooyoung%3acodebase-stats 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Codebase Stats

Count lines of code with auto-detected project structure. No external tools required.

Tools to use: Bash for file discovery and counting, Glob and Read for config file detection. Do NOT use cloc, tokei, scc, or any external LOC counter.

Activation

Trigger on:

  • /codebase-stats or /loc
  • "count lines of code", "LOC by module", "code stats", "project size"

Execution Flow

Step 1: Detect Project Structure

Use Glob and Read to inspect config files at the project root. Follow this decision tree in order (first match wins):

1a. JS/TS Workspace Monorepo

Signal files: pnpm-workspace.yaml, turbo.json, nx.json, lerna.json, or root package.json containing "workspaces"

Module extraction:

  • pnpm-workspace.yaml: read packages globs, expand with Glob
  • package.json workspaces: read array, expand globs
  • Each directory with its own package.json = one module
  • Label: workspace

1b. Rust Workspace

Signal: root Cargo.toml containing [workspace]

Module extraction: parse members array, expand globs. Label: workspace

1c. Java / Kotlin Multi-Module

Signal: root pom.xml with <modules>, or settings.gradle / settings.gradle.kts

Module extraction:

  • Maven: parse <module> tags
  • Gradle: parse include(...) or include '...', convert :a:b to a/b
  • Label: maven-module or gradle-module

1d. Go Multi-Module

Signal: go.mod found in 2+ directories

Module extraction: each directory containing go.mod = one module. Label: go-module

1e. Python Multi-Package

Signal: pyproject.toml or setup.py found in 2+ directories

Module extraction: each directory containing either file = one module. Label: py-package

1f. Full-Stack Monolith

Signal: top-level directory pairs matching known patterns:

  • src + src-tauri (Tauri)
  • frontend + backend
  • client + server
  • web + api
  • app + server

Module extraction: each matched directory = one module. Label: monolith

1g. Simple Single-Module

Fallback: none of the above matched.

Module: project root as the only module. Label: single

Always: add a <root> pseudo-module for files in the project root not belonging to any detected module.

Step 2: Count Lines

Run a single Bash script. The counting logic:

# Template - adapt ROOT, MODULES, PRUNE_DIRS as needed

find "$ROOT" \
  \( -name .git -o -name node_modules -o -name target -o -name dist \
     -o -name build -o -name out -o -name coverage -o -name .next \
     -o -name .nuxt -o -name .svelte-kit -o -name .turbo -o -name .cache \
     -o -name __pycache__ -o -name .venv -o -name venv -o -name .mypy_cache \
     -o -name .pytest_cache -o -name vendor -o -name third_party \
     -o -name .yarn -o -name .pnpm-store -o -name Pods -o -name DerivedData \
     -o -name .gradle -o -name .idea -o -name .vscode -o -name .settings \
     -o -name gen -o -name generated \
     -o -name bin -o -name obj -o -name tmp -o -name temp \
  \) -prune -o \
  -type f ! -name '*.min.js' ! -name '*.min.css' ! -name '*.bundle.js' \
  ! -name '*.map' ! -name '*.snap' ! -name '*.lock' ! -name '*.d.ts' \
  ! -name 'package-lock.json' ! -name 'pnpm-lock.yaml' ! -name 'go.sum' \
  ! -name '*.pb.go' ! -name '*_pb2.py' \
  ! -name '*.generated.*' ! -name '*.gen.*' ! -name '*.g.dart' \
  ! -name '*.designer.*' \
  -print0 | \
while IFS= read -r -d '' f; do
  # skip symlinks
  [ -L "$f" ] && continue
  # skip binary
  grep -qI . "$f" 2>/dev/null || continue
  # get extension or basename for extensionless files
  base=$(basename "$f")
  case "$base" in
    Makefile|Dockerfile|Vagrantfile|Rakefile|Gemfile|Justfile|CMakeLists.txt) ext="$base" ;;
    *.*) ext="${base##*.}" ;;
    *) ext="$base" ;;
  esac
  # count
  lines=$(wc -l < "$f" 2>/dev/null) || continue
  loc=$(grep -cve '^[[:space:]]*$' "$f" 2>/dev/null || echo 0)
  # output: path<TAB>ext<TAB>lines<TAB>loc
  printf '%s\t%s\t%d\t%d\n' "$f" "$ext" "$lines" "$loc"
done

File type mapping: Apply this extension-to-type table to classify each file:

TypeExtensions
ts.ts
tsx.tsx
js.js, .mjs, .cjs
jsx.jsx
py.py
rs.rs
go.go
java.java
kt.kt, .kts
swift.swift
c.c
cpp.cc, .cpp, .cxx
h.h, .hh, .hpp, .hxx
css.css, .scss, .sass, .less
html.html, .htm
sql.sql
sh.sh, .bash, .zsh, .fish
toml.toml
json.json, .jsonc
yaml.yml, .yaml
xml.xml
md.md, .mdx
vue.vue
svelte.svelte
dart.dart
rb.rb
php.php
cs.cs
scala.scala
elixir.ex, .exs
dockerDockerfile
makeMakefile, CMakeLists.txt

Unmatched extensions: group into other. Skip known non-source: .png, .jpg, .jpeg, .gif, .svg, .ico, .pdf, .woff, .woff2, .ttf, .eot, .mp3, .mp4, .webm, .webp, .zip, .tar, .gz, .dmg, .exe, .dll, .so, .dylib, .DS_Store.

Module assignment: for each file path, find the longest-matching module root prefix. Files not matching any module go to <root>.

Step 3: Render Output

Language: Match the user's prompt language. If the user writes in Chinese, use Chinese table headers and labels (e.g., "扫描根目录", "文件类型", "模块", "占比"). If in English, use English. Technical terms (module names, file types, paths) stay as-is regardless of language.

Produce four Markdown tables in this exact order:

Table 1: Project Summary

| Metric                   | Value                       |
| ------------------------ | --------------------------- |
| Scan Root                | `/path/to/project`          |
| Structure                | `monorepo (pnpm workspace)` |
| Modules                  | 5                           |
| Source Files             | 842                         |
| LOC (non-empty)          | 59,040                      |
| Total Lines              | 72,318                      |
| Skipped (binary/symlink) | 12                          |

Table 2: By File Type

Sorted by LOC descending.

| Type | Files |    LOC |  Lines | Share |
| ---- | ----: | -----: | -----: | ----: |
| ts   |   120 | 18,420 | 22,510 | 31.2% |
| tsx  |    44 |  9,720 | 11,300 | 16.5% |
| rs   |    28 |  5,180 |  6,420 |  8.8% |
| css  |    15 |  2,340 |  2,890 |  4.0% |
| ...  |       |        |        |       |

Share = LOC / total LOC * 100, 1 decimal place.

Table 3: By Module

Sorted by LOC descending.

| Module        | Kind      | Files |    LOC | Share | Top Types              |
| ------------- | --------- | ----: | -----: | ----: | ---------------------- |
| packages/core | workspace |   210 | 25,110 | 42.5% | ts(10.2k), tsx(9.7k)   |
| packages/ui   | workspace |   160 | 18,890 | 32.0% | tsx(15.4k), css(1.9k)  |
| <root>        | root      |    18 |  1,320 |  2.2% | json(0.5k), yaml(0.4k) |

Top Types: top 3 file types by LOC within the module, formatted as type(Xk) using abbreviation (e.g., 1.2k for 1,200).

Table 4: Module x Type Detail (Top 20)

Only show if multiple modules detected. Sorted by LOC descending, capped at 20 rows.

| Module        | Type | Files |    LOC |
| ------------- | ---- | ----: | -----: |
| packages/core | ts   |    95 | 12,340 |
| packages/core | tsx  |    75 | 10,210 |
| packages/ui   | tsx  |    88 | 15,420 |

If more than 20 combinations exist, append: Showing top 20 of N combinations.

Number Formatting

  • Use thousand separators for numbers >= 1,000 (e.g., 59,040)
  • Percentages: 1 decimal place (e.g., 31.2%)
  • Abbreviated form in Top Types: 1.2k for 1,200

Edge Cases

CaseBehavior
Empty projectShow summary with zeros, note "No source files found"
SymlinksNever follow, count in "Skipped"
Binary files with source extensionDetect via grep -qI, skip, count in "Skipped"
Very large repo (>10k files)Print warning before counting, continue normally
Permission errorsSkip file, increment "Skipped" count
Nested monorepo (workspace inside workspace)Use deepest module root (longest prefix match)
Generated directories (gen/, generated/)Exclude by default
other share > 15%Warn user to review unmapped extensions

Performance Tips

  • Always use find -prune to skip heavy directories early
  • Process files in a single find | while read loop, not per-file tool calls
  • Aggregate with awk or sort | uniq -c, not per-row processing
  • Use Read only for config files (manifests), never for source files
  • For repos with >5,000 files, run counting in a single Bash invocation

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.97%
按下载量换算27

Claude

28.14%
按下载量换算22

Cursor

17.99%
按下载量换算14

Gemini CLI

9.27%
按下载量换算7

安全审计

暂无安全审计结果可展示。

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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