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.
| Input | Description | Example |
|---|
| Person Name | Full name of the subject | Jane Smith |
| Job Title | Current or most recent known role | Chief Technology Officer |
| Company Name | Primary company the subject is associated with | Acme 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
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.
-
Use
tool (type:
) with these query patterns:
"{{person_name}}" "{{company_name}}" site:linkedin.com
"{{person_name}}" "{{job_title}}" LinkedIn
"{{person_name}}" "{{company_name}}" LinkedIn profile
-
Use
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
-
Save all extracted data to
immediately.
Step 3: Corporate Intelligence
Investigate the subject's company and any other associated entities.
-
"{{company_name}}" Companies House
"{{company_name}}" SEC filing
"{{company_name}}" corporate registration
"{{person_name}}" director OR officer "{{company_name}}"
-
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)
-
Step 4: Media & Public Presence
Expand to news, social media, and other public mentions.
-
"{{person_name}}" "{{company_name}}"
"{{person_name}}" interview OR announcement OR appointed
-
"{{person_name}}" site:twitter.com OR site:x.com
"{{person_name}}" site:facebook.com
"{{person_name}}" site:github.com
"{{person_name}}" "{{company_name}}" conference OR speaker OR panel
-
For each significant result, use
to read the full content. Save key excerpts and URLs to
.
Step 5: Domain & Technical Intelligence (Conditional)
Execute this step only if the subject has a technical or digital role (CTO, developer, engineer, etc.).
- Search for personal websites, blogs, or portfolios.
- Search for GitHub profiles, open-source contributions, or academic papers.
- Search for domain registrations (WHOIS) if a personal domain is found.
- Append findings to .
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.
- Gmail: Use with queries for the person's name and company.
- Slack: Use
slack_search_public_and_private
- Append any findings to .
Step 7: Synthesize and Generate Dossier
- Read the dossier template:
/home/ubuntu/skills/person-intelligence-osint/templates/dossier_template.md
- Create the final report file:
Dossier_{{person_name_slug}}.md
- Populate the template with synthesized intelligence from .
- Ensure all sections are written in complete paragraphs, not bullet lists.
- Include a References section with numbered citations and source URLs.
- Include a table for career history and a table for the identity profile.
Step 8: Deliver
- Review the dossier for completeness.
- Use tool (type: ) to deliver the Markdown dossier as an attachment.
- Provide a concise summary of key findings in the message text.
- 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.