Customization
Before executing, check for user customizations at:
~/.claude/LIFEOS/USER/CUSTOMIZATIONS/SKILLS/PrivateInvestigator/
If this directory exists, load and apply any PREFERENCES.md, configurations, or resources found there. These override default behavior. If the directory does not exist, proceed with skill defaults.
π¨ MANDATORY: Voice Notification (REQUIRED BEFORE ANY ACTION)
You MUST send this notification BEFORE doing anything else when this skill is invoked.
-
Send voice notification:
curl -s -X POST http://localhost:31337/notify \ -H "Content-Type: application/json" \ -d '{"message": "Running the WORKFLOWNAME workflow in the PrivateInvestigator skill to ACTION"}' \ > /dev/null 2>&1 & -
Output text notification:
Running the **WorkflowName** workflow in the **PrivateInvestigator** skill to ACTION...
This is not optional. Execute this curl command immediately upon skill invocation.
PrivateInvestigator - Ethical People Finding
What It Does
Finds people and verifies identities using public data only. It covers people-search aggregators, social media, public records, and reverse lookups in parallel, then scores results by confidence (HIGH/MEDIUM/LOW/POSSIBLE) and trusts a match only when 3+ independent identifiers align.
The Problem
Finding a real person from a name, a phone number, or an email is scattered across dozens of sources β people-search sites, county records, court portals, social platforms, reverse-lookup services β and no single one gives you the answer. Common names make it worse: search "John Smith" and you get thousands of people, most of them the wrong one. Run the searches one at a time and you either give up before you've covered enough sources or you act on a single weak match and contact the wrong person. This skill runs the sources in parallel and refuses to call a match real until several independent identifiers line up.
How It Works
Public data only. No hacking, pretexting, or authentication bypass β every technique here is legal and ethical. The work runs as a parallel investigation across the source categories below; findings get cross-checked and confidence-scored before anything is reported. Choose the fan-out breadth the case needs β a common name across many states wants wide parallel coverage, a rare name in one city wants far less.
Workflow Routing
| Workflow | Trigger | File |
|----------|---------|------|
| FindPerson | "find person", "locate", "search for [person]", "reconnect", "lost contact" β full parallel-agent investigation | Workflows/FindPerson.md |
| SocialMediaSearch | "social media search" β cross-platform social media investigation | Workflows/SocialMediaSearch.md |
| PublicRecordsSearch | "public records" β government and official records search | Workflows/PublicRecordsSearch.md |
| ReverseLookup | "reverse lookup" β phone, email, image, username searches | Workflows/ReverseLookup.md |
| VerifyIdentity | "verify identity" β confirm correct person match | Workflows/VerifyIdentity.md |
When executing a workflow, output this notification:
Running the **WorkflowName** workflow in the **PrivateInvestigator** skill to ACTION...
When to Activate
Direct People-Finding
- "find [person]", "locate [person]", "search for [person]"
- "reconnect with [person]", "looking for lost contact"
- "find an old friend", "locate a former coworker"
Reverse Lookup
- "reverse phone lookup", "who owns this email"
- "reverse image search", "find person by username"
Investigation
- "background check" (public data only)
- "what can you find about [person]"
- "research [person]"
Research Strategy
Done = broad, independent coverage. Every source category below is worked, and no key identifier (address, employer, DOB, family, social handle) rests on a single source. Run the categories in parallel β dispatch research agents concurrently in one message β and scale the fan-out to the case: a common name across many states justifies many parallel agents and spelling/location variants; a rare name in one city needs only a few. Independence is the point, not headcount: aggregators that resell the same database count as one source, so weight toward genuinely distinct origins (social the subject created, government records, unrelated aggregators).
Core Capabilities
1. People Search Aggregators
| Service | Type | Best For | |---------|------|----------| | TruePeopleSearch | Free | Best free option, fresh data | | FastPeopleSearch | Free | Basic lookups, no signup | | Spokeo | Freemium | Social media aggregation (120+ networks) | | BeenVerified | Paid | Comprehensive background data |
2. Social Media Investigation
- Facebook: Google x-ray searches, mutual friends, groups
- LinkedIn: Boolean search, alumni networks
- Instagram/Twitter/TikTok: Username patterns, cross-platform correlation
3. Public Records
- Voter Registration: Most states publicly available
- Property Records: County assessor/recorder sites
- Court Records: PACER (federal), state court portals, CourtListener
- Business Filings: Secretary of State websites
- Professional Licenses: State licensing boards
4. Reverse Lookup
- Phone: CallerID, NumLookup, carrier lookup
- Email: Epieos, Holehe, Hunter.io
- Image: PimEyes, TinEye, Google/Yandex Images
- Username: Sherlock, WhatsMyName, Namechk
5. Google Dorking
site:linkedin.com "John Smith" "Software Engineer"
site:facebook.com "lives in" "Austin" "marketing"
filetype:pdf resume "Jane Doe" "San Francisco"
Investigation Methodology
Anchor on whatever foundation identifiers the request gives β full name (and variations/maiden names), approximate age or DOB, last known location, context (school, workplace, relationship) β then pull from every source category until identifiers corroborate. Each discovered fact (phone, email, username, address, relative) is itself a new lead to run back through the sources, and every candidate gets a timeline-consistency and cross-source check before it earns a confidence score. The order is yours; the finish line is a match that survives the 3+-independent-identifier bar below.
Confidence Scoring
| Level | Criteria | Action | |-------|----------|--------| | HIGH | 3+ unique identifiers match across independent sources | Safe to contact | | MEDIUM | 2 identifiers match, timeline consistent | Verify before contact | | LOW | Single source or name-only match | Needs more investigation | | POSSIBLE | Partial match, requires verification | Do not act without more data |
Dealing with Common Names
- Add Specificity - Include location, age, employer, school
- Cross-Reference - Match DOB + address patterns across sources
- Family Connections - Verify through known relatives
- Timeline Analysis - Does the life history make sense?
- Multiple Identifiers - Require 3+ matching data points
Legal & Ethical Boundaries
GREEN ZONE (Allowed)
β Search public records (property, court, voter, business) β Access publicly posted social media content β Use people search aggregator sites β Perform reverse lookups on public data β Google dorking with public search operators
RED ZONE (Never Cross)
β Access data behind login walls without authorization β Bypass authentication or security measures β Use pretexting or impersonation β Access private databases (credit, financial, medical) β Stalk, harass, or intimidate subjects β Access PI-only databases without license
When to STOP
- If the purpose shifts to harassment or stalking
- If the subject has clearly opted out of contact
- If investigation requires illegal methods
- If you suspect the requestor has malicious intent
Examples
Example 1: Finding an Old College Friend
User: "Help me find my college roommate from 2005, John Smith from Austin"
β Routes to FindPerson.md
β Fans out parallel research across the source categories
β Cross-references people search + LinkedIn alumni + property records
β Verifies identity through timeline analysis
β Reports findings with HIGH confidence
Example 2: Reverse Phone Lookup
User: "Who called from 512-555-1234?"
β Routes to ReverseLookup.md
β Runs phone through CallerID, NumLookup
β Cross-references with people search aggregators
β Reports owner name, location, carrier
Example 3: Social Media Investigation
User: "Find Jane Doe's social media, she's a marketing professional in Denver"
β Routes to SocialMediaSearch.md
β LinkedIn Boolean search + Google x-ray
β Username enumeration if handle discovered
β Reports all accounts with MEDIUM/HIGH confidence
Related Documentation:
- Complete workflow details in
Workflows/directory - Integration with Research skill for parallel agent orchestration
Gotchas
- Ethical framework is mandatory. Legitimate purposes only β reconnection, due diligence, safety. No stalking or harassment.
- Wide parallel fan-out can hit rate limits on public records APIs. Stagger launches if services throttle.
- Verify findings across multiple sources. Single-source results are unreliable.
Execution Log
After completing any workflow, append a single JSONL entry:
echo '{"ts":"'$(date -u +%Y-%m-%dT%H:%M:%SZ)'","skill":"PrivateInvestigator","workflow":"WORKFLOW_USED","input":"8_WORD_SUMMARY","status":"ok|error","duration_s":SECONDS}' >> ~/.claude/LIFEOS/MEMORY/SKILLS/execution.jsonl
Replace WORKFLOW_USED with the workflow executed, 8_WORD_SUMMARY with a brief input description, and SECONDS with approximate wall-clock time. Log status: "error" if the workflow failed.