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ghost-scan-deps幽灵扫描部门

Agent Skill

ghost-scan-deps 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

33,264

周安装

1,414

GitHub Stars

397

下载量

11,648
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:ghost-scan-deps(幽灵扫描部门)
来源仓库:https://github.com/ghostsecurity/skills
仓库路径:skills/ghost-scan-deps
安装命令:
npx skills add https://github.com/ghostsecurity/skills --skill ghost-scan-deps
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/ghostsecurity/skills --skill ghost-scan-deps

简介

扫描依赖项锁定文件中是否存在已知漏洞,并生成严重程度排名的结果以及修复指南。

  • 发现并扫描存储库中所有常见的锁定文件格式(package-lock.json、yarn.lock、go.sum、Gemfile.lock 等)
  • 识别依赖项中的 CVE 并分配严重性级别以帮助确定修复的优先级
  • 分析每个候选漏洞的可利用性,以区分高风险和低风险结果
  • 生成结构化扫描报告,并为每个发现的漏洞提供可操作的修复指南

SKILL.md

Ghost Security SCA Scanner — Orchestrator

You are the top-level orchestrator for Software Composition Analysis (SCA) scanning. Your ONLY job is to call the Task tool to spawn subagents to do the actual work. Each step below gives you the exact Task tool parameters to use. Do not do the work yourself.

Defaults

  • repo_path: the current working directory
  • scan_dir: ~/.ghost/repos/<repo_id>/scans/<short_sha>/deps
  • short_sha: git rev-parse --short HEAD (falls back to YYYYMMDD for non-git dirs)

$ARGUMENTS

Any values provided above override the defaults.


Execution

  1. Setup — compute paths and create output directories
  2. Initialize Wraith — install the wraith binary
  3. Discover Lockfiles — find all dependency lockfiles in the repo
  4. Scan for Vulnerabilities — run wraith against each lockfile
  5. Analyze Candidates — assess exploitability of each candidate
  6. Summarize Results — generate the final scan report

Step 0: Setup

Run this Bash command to compute the repo-specific output directory, create it, and locate the skill files:

repo_name=$(basename "$(pwd)") && remote_url=$(git remote get-url origin 2>/dev/null || pwd) && short_hash=$(printf '%s' "$remote_url" | git hash-object --stdin | cut -c1-8) && repo_id="${repo_name}-${short_hash}" && short_sha=$(git rev-parse --short HEAD 2>/dev/null || date +%Y%m%d) && ghost_repo_dir="$HOME/.ghost/repos/${repo_id}" && scan_dir="${ghost_repo_dir}/scans/${short_sha}/deps" && cache_dir="${ghost_repo_dir}/cache" && mkdir -p "$scan_dir/findings" && skill_dir=$(find . -path '*skills/scan-deps/SKILL.md' 2>/dev/null | head -1 | xargs dirname) && echo "scan_dir=$scan_dir cache_dir=$cache_dir skill_dir=$skill_dir"

Store scan_dir (the absolute path under ~/.ghost/repos/), cache_dir (the repo-level cache directory), and skill_dir (the absolute path to the skill directory containing agents/, scripts/, etc.).

After this step, your only remaining tool is Task. Do not use Bash, Read, Grep, Glob, or any other tool for Steps 1–5.

Step 1: Initialize Wraith

Call the Task tool to initialize the wraith binary:

{
  "description": "Initialize wraith binary",
  "subagent_type": "general-purpose",
  "prompt": "You are the init agent. Read and follow the instructions in <skill_dir>/agents/init/agent.md.\n\n## Inputs\n- skill_dir: <skill_dir>"
}

The init agent installs wraith to ~/.ghost/bin/wraith (or wraith.exe on Windows).

Step 2: Discover Lockfiles

Call the Task tool to discover lockfiles in the repository:

{
  "description": "Discover lockfiles",
  "subagent_type": "general-purpose",
  "prompt": "You are the discover agent. Read and follow the instructions in <skill_dir>/agents/discover/agent.md.\n\n## Inputs\n- repo_path: <repo_path>\n- scan_dir: <scan_dir>"
}

The discover agent finds all lockfiles (go.mod, package-lock.json, etc.) and writes <scan_dir>/lockfiles.json.

If lockfile count is 0: Skip to Step 5 (Summarize) with no lockfiles found.

Step 3: Scan for Vulnerabilities

Call the Task tool to run the wraith scanner:

{
  "description": "Scan for vulnerabilities",
  "subagent_type": "general-purpose",
  "prompt": "You are the scan agent. Read and follow the instructions in <skill_dir>/agents/scan/agent.md.\n\n## Inputs\n- repo_path: <repo_path>\n- scan_dir: <scan_dir>"
}

The scan agent executes wraith for each lockfile and writes <scan_dir>/candidates.json.

If candidate count is 0: Skip to Step 5 (Summarize) with no vulnerabilities found.

Step 4: Analyze Candidates

Call the Task tool to analyze the vulnerability candidates:

{
  "description": "Analyze vulnerability candidates",
  "subagent_type": "general-purpose",
  "prompt": "You are the analysis agent. Read and follow the instructions in <skill_dir>/agents/analyze/agent.md.\n\n## Inputs\n- repo_path: <repo_path>\n- scan_dir: <scan_dir>\n- skill_dir: <skill_dir>\n- cache_dir: <cache_dir>"
}

The analysis agent spawns parallel analyzers for each candidate to assess exploitability and writes finding files to <scan_dir>/findings/.

Step 5: Summarize Results

Call the Task tool to summarize the findings:

{
  "description": "Summarize scan results",
  "subagent_type": "general-purpose",
  "prompt": "You are the summarize agent. Read and follow the instructions in <skill_dir>/agents/summarize/agent.md.\n\n## Inputs\n- repo_path: <repo_path>\n- scan_dir: <scan_dir>\n- skill_dir: <skill_dir>\n- cache_dir: <cache_dir>"
}

After executing all the tasks, report the scan results to the user.


Error Handling

If any Task call fails, retry it once. If it fails again, stop and report the failure.

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

36%
按下载量换算4,193

Claude

27.8%
按下载量换算3,238

Cursor

18.26%
按下载量换算2,127

Gemini CLI

9.47%
按下载量换算1,103

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/ghostsecurity/skills --skill ghost-scan-deps 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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