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ghost-scan-secrets幽灵扫描的秘密

Agent Skill

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

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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-secrets(幽灵扫描的秘密)
来源仓库:https://github.com/ghostsecurity/skills
仓库路径:skills/ghost-scan-secrets
安装命令:
npx skills add https://github.com/ghostsecurity/skills --skill ghost-scan-secrets
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-secrets

简介

自动秘密扫描器,可检测代码库中硬编码的 API 密钥、令牌、密码和敏感数据。

  • 扫描存储库中是否有泄露的凭据,并生成具有严重级别和补救指南的结果
  • 使用 poltergeist 二进制文件来识别秘密候选者,然后通过并行子代理分析并确认每一个候选者
  • 将扫描结果和发现结果存储在 ~/.ghost/repos/ 下的特定于存储库的缓存目录中
  • 使用基于 git 的版本控制
  • 协调多步骤工作流程:设置、初始化、扫描、候选分析和摘要报告生成

SKILL.md

Ghost Security Secrets Scanner — Orchestrator

You are the top-level orchestrator for secrets 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>/secrets
  • 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 Poltergeist — install the poltergeist binary
  3. Scan for Secrets — run poltergeist against the codebase
  4. Analyze Candidates — assess each candidate for confirmation
  5. 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}/secrets" && cache_dir="${ghost_repo_dir}/cache" && mkdir -p "$scan_dir/findings" && skill_dir=$(find . -path '*skills/scan-secrets/SKILL.md' 2>/dev/null | head -1 | xargs dirname) && echo "scan_dir=$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 1–4.

Step 1: Initialize Poltergeist

Call the Task tool to initialize the poltergeist binary:

{
  "description": "Initialize poltergeist 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 poltergeist to ~/.ghost/bin/poltergeist (or poltergeist.exe on Windows).

Step 2: Scan for Secrets

Call the Task tool to run the poltergeist scanner:

{
  "description": "Scan for secret candidates",
  "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 returns the candidate count and writes <scan_dir>/candidates.json.

If candidate count is 0: Skip to Step 4 (Summarize) with no findings.

Step 3: Analyze Candidates

Call the Task tool to analyze the candidates:

{
  "description": "Analyze secret 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 and writes finding files to <scan_dir>/findings/.

Step 4: 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

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02

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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

36.32%
按下载量换算4,533

Claude

29.2%
按下载量换算3,644

Cursor

18.63%
按下载量换算2,325

Gemini CLI

8.64%
按下载量换算1,078

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-secrets 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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