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vulture-dead-code秃鹫死代码

Agent Skill

vulture-dead-code 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

1,623

周安装

69

GitHub Stars

28

下载量

569
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:vulture-dead-code(秃鹫死代码)
来源仓库:https://github.com/laurigates/claude-plugins
仓库路径:skills/vulture-dead-code
安装命令:
npx skills add https://github.com/laurigates/claude-plugins --skill vulture-dead-code
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/laurigates/claude-plugins --skill vulture-dead-code

简介

用于识别项目中未被使用的冗余代码文件与函数。

  • 适合清理遗留代码、减少维护成本与提升可读性。
  • 通过 GitHub 安装,支持多语言静态分析。
  • 删除前应确认无间接引用,避免破坏依赖关系。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • vulture-dead-code 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Vulture and deadcode - Dead Code Detection

Tools for finding unused Python code including functions, classes, variables, imports, and attributes.

When to Use This Skill

Use this skill when...Use another tool instead when...
Detecting unused functions, classes, variablesFinding unused imports only (use ruff --select F401)
Cleaning up dead code in a codebaseChecking type correctness (use basedpyright)
Enforcing code hygiene in CIFormatting code (use ruff format)
Generating whitelists for false positivesRunning general linting (use ruff check)

Overview

Vulture (mature, confidence-based) and deadcode (newer, AST-based) both detect unused code but with different approaches:

FeatureVulturedeadcode
ApproachStatic analysis + confidence scoresAST-based detection
AccuracyConfidence scores (60-100%)High accuracy, fewer false positives
SpeedFastVery fast
ConfigurationWhitelist filesTOML configuration
MaturityMature (2012)Newer (2023+)
Best ForLarge codebases, gradual cleanupNew projects, strict enforcement

Installation

# Install vulture
uv add --dev vulture

# Install deadcode (newer alternative)
uv add --dev deadcode

# Install both for comparison
uv add --dev vulture deadcode

Vulture - Confidence-Based Detection

Basic Usage

# Check entire project
vulture .

# Check specific files/directories
vulture src/ tests/

# Minimum confidence threshold (60-100%)
vulture --min-confidence 80 .

# Exclude patterns
vulture . --exclude "**/migrations/*,**/tests/*"

# Sort by confidence
vulture --sort-by-size .

# Generate whitelist of current issues
vulture . --make-whitelist > vulture_whitelist.py

Configuration (pyproject.toml)

[tool.vulture]
min_confidence = 80
paths = ["src", "tests"]
exclude = [
    "**/migrations/*",
    "**/__pycache__/*",
    ".venv/*"
]
ignore_decorators = [
    "@app.route",
    "@pytest.fixture",
    "@property",
    "@staticmethod",
    "@classmethod"
]
ignore_names = [
    "test_*",
    "setUp*",
    "tearDown*",
]

deadcode - AST-Based Detection

Basic Usage

# Check entire project
deadcode .

# Check specific files/directories
deadcode src/

# Verbose output
deadcode --verbose .

# Dry run (show what would be removed)
deadcode --dry-run .

# Show unreachable code
deadcode --show-unreachable .

# Generate configuration
deadcode --init

Configuration (pyproject.toml)

[tool.deadcode]
paths = ["src"]
exclude = [
    "tests/*",
    "**/__pycache__/*",
    "**/migrations/*",
]
ignore_names = [
    "test_*",
    "setUp",
    "tearDown",
    "main",
]
ignore_decorators = [
    "app.route",
    "pytest.fixture",
    "property",
    "staticmethod",
    "classmethod",
    "abstractmethod"
]
show_unreachable = false

Choosing Between Tools

Choose Vulture when...Choose deadcode when...
Large, mature codebasesNew projects
Need confidence-based filteringWant fewer false positives
Need whitelist file approachPrefer TOML configuration
Dynamic code (getattr, exec)Need unreachable code detection

Hybrid Approach

# Run both for comprehensive detection
vulture --min-confidence 80 .
deadcode .

Agentic Optimizations

ContextCommand
Quick vulture checkvulture --min-confidence 90.
Quick deadcode checkdeadcode.
Generate whitelistvulture. --make-whitelist > vulture_whitelist.py
CI enforcementvulture --min-confidence 80. vulture_whitelist.py
Unreachable codedeadcode --show-unreachable.
Combined checkvulture --min-confidence 80. && deadcode.

Quick Reference

Vulture Flags

FlagDescription
--min-confidence NMinimum confidence (60-100%)
--exclude PATTERNExclude glob patterns
--sort-by-sizeSort results by size
--make-whitelistGenerate whitelist file

deadcode Flags

FlagDescription
--verboseVerbose output
--dry-runShow without modifying
--show-unreachableDetect unreachable code
--initGenerate configuration
--strictStrict enforcement mode

For detailed examples, advanced patterns, and best practices, see REFERENCE.md.

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

能力 4

展示第三方安全扫描或审计结果

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

37.92%
按下载量换算216

Claude

28.77%
按下载量换算164

Cursor

16.06%
按下载量换算91

Gemini CLI

9.34%
按下载量换算53

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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