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person-intelligence-osint人的智力 osint

Agent Skill

person-intelligence-osint 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

188

周安装

8

GitHub Stars

公开资料未说明

下载量

66
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:person-intelligence-osint(人的智力 osint)
来源仓库:https://github.com/andy160675/sovereign-skills-season1
仓库路径:skills/person-intelligence-osint
安装命令:
npx skills add https://github.com/andy160675/sovereign-skills-season1 --skill person-intelligence-osint
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/andy160675/sovereign-skills-season1 --skill person-intelligence-osint

简介

person-intelligence-osint 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。
  • 它属于研究检索类工具,适用于信息搜集和初步筛选场景。
  • 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。

SKILL.md

Person Intelligence OSINT

Conduct a comprehensive, LinkedIn-friendly, open-source intelligence investigation on any individual. The process starts with professional network reconnaissance, expands to broad-spectrum public sources, and produces a structured intelligence dossier.

Inputs

Three inputs are required. If any are missing, ask the user before proceeding.

InputDescriptionExample
Person NameFull name of the subjectJane Smith
Job TitleCurrent or most recent known roleChief Technology Officer
Company NamePrimary company the subject is associated withAcme Corp

Workflow

Execute sequentially. Do not skip steps.

Step 1: Acknowledge and Scope

Confirm the target details with the user. Create a working directory:

mkdir -p /home/ubuntu/osint/{{person_name_slug}}

Create osint_notes.md inside this directory to accumulate raw findings throughout the process.

Step 2: LinkedIn Reconnaissance

This is the foundational data source. The goal is to locate and extract the subject's canonical professional profile.

  1. Use search tool (type: info) with these query patterns:

- "{{person_name}}" "{{company_name}}" site:linkedin.com - "{{person_name}}" "{{job_title}}" LinkedIn - "{{person_name}}" "{{company_name}}" LinkedIn profile

  1. Use browser_navigate to visit the identified LinkedIn URL. Extract:

- Full name, headline, location - Career history (all roles, companies, dates) - Education - Skills, endorsements, recommendations count - Connection count and notable mutual connections - Any posts or articles authored

  1. Save all extracted data to osint_notes.md immediately.

Step 3: Corporate Intelligence

Investigate the subject's company and any other associated entities.

  1. Use search tool with:

- "{{company_name}}" Companies House (UK) or "{{company_name}}" SEC filing (US) - "{{company_name}}" corporate registration - "{{person_name}}" director OR officer "{{company_name}}"

  1. For UK companies, navigate to https://find-and-update.company-information.service.gov.uk/ and search for the company. Extract:

- Company number, status, incorporation date - Registered address - Directors and officers (confirm subject's role) - Filing history (recent accounts, confirmation statements)

  1. Append findings to osint_notes.md.

Step 4: Media & Public Presence

Expand to news, social media, and other public mentions.

  1. Use search tool (type: news) with:

- "{{person_name}}" "{{company_name}}" - "{{person_name}}" interview OR announcement OR appointed

  1. Use search tool (type: info) with:

- "{{person_name}}" site:twitter.com OR site:x.com - "{{person_name}}" site:facebook.com - "{{person_name}}" site:github.com (if technical role) - "{{person_name}}" "{{company_name}}" conference OR speaker OR panel

  1. For each significant result, use browser_navigate to read the full content. Save key excerpts and URLs to osint_notes.md.

Step 5: Domain & Technical Intelligence (Conditional)

Execute this step only if the subject has a technical or digital role (CTO, developer, engineer, etc.).

  1. Search for personal websites, blogs, or portfolios.
  2. Search for GitHub profiles, open-source contributions, or academic papers.
  3. Search for domain registrations (WHOIS) if a personal domain is found.
  4. Append findings to osint_notes.md.

Step 6: Connected Systems Check (Conditional)

If the user has Gmail or Slack MCP integrations enabled, search those systems for any prior correspondence or mentions of the subject.

  1. Gmail: Use gmail_search_messages with queries for the person's name and company.
  2. Slack: Use slack_search_public_and_private with the person's name.
  3. Append any findings to osint_notes.md.

Step 7: Synthesize and Generate Dossier

  1. Read the dossier template: /home/ubuntu/skills/person-intelligence-osint/templates/dossier_template.md
  2. Create the final report file: Dossier_{{person_name_slug}}.md
  3. Populate the template with synthesized intelligence from osint_notes.md.
  4. Ensure all sections are written in complete paragraphs, not bullet lists.
  5. Include a References section with numbered citations and source URLs.
  6. Include a table for career history and a table for the identity profile.

Step 8: Deliver

  1. Review the dossier for completeness.
  2. Use message tool (type: result) to deliver the Markdown dossier as an attachment.
  3. Provide a concise summary of key findings in the message text.
  4. Optionally, sync to Google Drive if the user has integration enabled.

Output Format

The final dossier MUST use the template at templates/dossier_template.md. Key requirements:

  • Professional Markdown formatting
  • Identity table at the top
  • Career history table
  • Complete paragraphs (not bullet-point lists) for analysis sections
  • Numbered inline citations with a References section
  • All source URLs documented

Example Usage

User says: "Research John Smith, VP Engineering at TechCorp"

Skill triggers with:

  • Person Name: John Smith
  • Job Title: VP Engineering
  • Company Name: TechCorp

Output: A structured Markdown dossier covering LinkedIn profile, corporate filings, news mentions, social media presence, and any connected system references.

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

31.24%
按下载量换算21

Claude

31.79%
按下载量换算21

Cursor

18.81%
按下载量换算12

Gemini CLI

8.69%
按下载量换算6

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

未通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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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