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Agent Skill · 研究检索

ghost-report(幽灵报告)

ghost-report 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。

ghost-report 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 4,955。

总安装 28,670周安装 1,198GitHub Stars 397下载 9,641核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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-report(幽灵报告)
来源仓库:https://github.com/ghostsecurity/skills
仓库路径:skills/ghost-report
安装命令:
npx skills add https://github.com/ghostsecurity/skills --skill ghost-report
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-report

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

将依赖性、机密和代码扫描结果聚合到单个优先安全报告中。

将 scan-deps、scan-secrets 和 scan-code 的结果合并到一份统一的报告中,仅过滤高可信度的结果 按严重性(高、中、低)和扫描类型对发现的结果进行优先级排序,内联关键问题的完整详细信息,使报告是独立的 在提交级别缓存报告以避免重新生成;在运行扫描之前检查现有结果 从本地缓存中提取存储库上下文(业务关键性、敏感数据类型)(如果可用)以通知风险评估

来源仓库内路径:skills/ghost-report

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/ghostsecurity/skills --skill ghost-report;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

ghost-report 怎么安装?

在终端执行 npx skills add https://github.com/ghostsecurity/skills --skill ghost-report。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ghost-report 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

ghost-report 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/ghostsecurity/skills --skill ghost-report 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。

ghost-report 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

ghost-report 用的人多吗?

公开数据是累计安装 28,670 次,近一周安装 1,198 次,下载 9,641 次,GitHub 397 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

ghost-report 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
ghost-report

幽灵报告 · 本页

28,670397执行命令未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Combined Security Report

You aggregate findings from all scan skills (scan-deps, scan-secrets, scan-code) into a single prioritized report. Do all work yourself — do not spawn subagents or delegate.

$ARGUMENTS


Step 0: Setup

Run this Bash command to compute paths:

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}" && scans_dir="${ghost_repo_dir}/scans/${short_sha}" && cache_dir="${ghost_repo_dir}/cache" && skill_dir=$(find . -path '*/skills/report/SKILL.md' 2>/dev/null | head -1 | xargs dirname) && echo "scans_dir=$scans_dir cache_dir=$cache_dir skill_dir=$skill_dir"

Store scans_dir (commit-level scan directory), cache_dir, and skill_dir.


Cache Check

If <scans_dir>/report.md already exists, show:

Combined security report is at: <scans_dir>/report.md

And stop. Do not regenerate it.


Step 1: Read Repo Context

Read <cache_dir>/repo.md if it exists. Extract:

  • Business criticality
  • Sensitive data types
  • Component map

If it does not exist, continue without it — this is not an error.


Step 2: Discover Scan Results

List the contents of <scans_dir> to see which scan-type directories exist. Recognized types:

  • deps/ — SCA / dependency vulnerability scan
  • secrets/ — secrets and credentials scan
  • code/ — code security scan (SAST)

If none of these directories exist, report an error:

No scan results found in <scans_dir>. Run one or more scan skills first:
  /ghost-scan-deps
  /ghost-scan-secrets
  /ghost-scan-code

And stop.


Step 3: Collect Findings

For each scan type that exists, glob <scans_dir>/<type>/findings/*.md and read each finding file in full. Retain the complete markdown body of every finding — the report will inline this content directly so readers never need to open individual finding files.

From each finding, also extract these metadata fields for filtering and sorting:

  • ID — from ## Metadata → ID
  • Type — the scan type (deps, secrets, or code)
  • Severity — from ## Metadata → Severity (high, medium, low)
  • Status — from ## Metadata → Status (e.g., confirmed-exploitable, unverified, verified, rejected, clean)

Step 4: Filter and Sort

Filter: Keep only high-confidence findings:

  • For deps findings: status is confirmed-exploitable
  • For secrets findings: status is NOT clean and NOT rejected
  • For code findings: status is verified or unverified (NOT rejected)

Exclude any finding with status clean, rejected, or false-positive.

Sort the remaining findings:

  1. By severity: high first, then medium, then low
  2. Within same severity: deps before secrets before code

Step 5: Read Per-Scan Reports

For deps and secrets scan types, read <scans_dir>/<type>/report.md if present. Extract:

  • Statistics (candidates scanned, confirmed findings, false positives filtered)
  • Executive summary highlights

Note: code does not produce a report.md. For code scan coverage, count the finding files in <scans_dir>/code/findings/ directly. The "Candidates Scanned" count is the total number of finding files (all statuses). "Confirmed Findings" is the count with status verified, confirmed, or unverified. "False Positives Filtered" is the count with status rejected. Do NOT count clean file analyses from the nomination/analysis funnel — those never became findings.

If a per-scan report does not exist for deps or secrets, note it as unavailable.


Step 6: Generate Report

  1. Read <skill_dir>/report-template.md
  2. Populate the template with collected data:

- Fill Scan Information with repository name, commit SHA, date, and which scans ran - Write Executive Summary using repo context and aggregated findings - For all writing elements in this security-focused, objective and fact based report, use a neutral, human tone that balances expertise with ease of reading. Do not use emojis, em-dashes, etc. - For Critical & High findings (severity = high): inline the substantive content from each finding file directly into the report — include code snippets, assessment tables, remediation commands, and all relevant detail so the report is fully self-contained - For Medium findings: write a full subsection per finding with description, location, code context, and remediation (not a condensed table) - Omit low-severity findings (they remain in per-scan finding files only) - Fill Scan Coverage table from per-scan report statistics (for code, use finding file counts from Step 5) - Add a brief methodology note per scan type that ran (1-2 sentences drawn from per-scan reports) - Do NOT include links to per-scan reports or individual finding files — all content is inlined

  1. Write the report to <scans_dir>/report.md

Step 7: Show Output

Combined security report is at: <scans_dir>/report.md

平台分布

Codex

35.86%
按下载量换算3,457

Claude

27.14%
按下载量换算2,617

Cursor

19.91%
按下载量换算1,920

Gemini CLI

9.54%
按下载量换算920

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

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-report 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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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