Osint Person Search

OSINT Person Search

A class-level skill for discovering and verifying person profiles, professional presence, and digital footprints across multiple platforms using open-source intelligence techniques.

When to Use

• User needs to find all public profiles for a person (name, email, handle, company)
• Background research on candidates, speakers, competitors, collaborators
• Due diligence, journalism, recruiting, sales prospecting
• Building comprehensive dossiers from fragmented online presence

Core Principles

1. Start broad, then narrow — Begin with name + location/role combinations, iterate with discovered handles
2. Cross-reference handles — Same username often reused across platforms (johndoe, john_doe, johndoe.com)
3. Verify with multiple sources — LinkedIn claim "Senior Designer at Example Corp" confirmed by Behance case study + personal site + XING = high confidence
4. Document negative results — "No Facebook profile found for @johndoe" is as valuable as positive findings
5. Respect platform ToS — Use search engines, aggregators, public profiles; avoid scraping behind auth walls

Search Strategy Framework

Phase 1: Seed Queries (Name Variants)

"Full Name"                    → "John Doe"
"First Last" + role            → "John Doe product designer"
"First Last" + location        → "John Doe Berlin"
"First Last" + company         → "John Doe Example Corp"
"First M. Last"                → "J. Doe designer"
Handle variations              → johndoe, john_doe, john-doe

Phase 2: Platform-Specific Tactics

| Platform | Best Entry Points | Verification Signals | |----------|-------------------|---------------------| | LinkedIn | site:linkedin.com/in "Name", /pub/dir/First/Last | Connections, endorsements, company pages, license IDs | | X/Twitter | @handle, site:twitter.com "Name", site:x.com "Name" | Verified badge, follower/following ratio, tweet history | | Instagram | @handle, site:instagram.com "Name" | Post consistency, tagged photos, bio links | | Facebook | site:facebook.com "Name", public profile directory | Friends list visibility, groups, pages managed | | GitHub | @handle, site:github.com "Name" | Repo ownership, contributions, org membership | | Behance | behance.net/handle, site:behance.net "Name" | Project case studies, appreciations, Adobe certs | | Dribbble | dribbble.com/handle, site:dribbble.com "Name" | Shots, likes, teams, hiring status | | XING (DACH) | xing.com/profile/First_Last, site:xing.com "Name" | Skills tags, employment timeline, languages | | Personal Site | firstname-lastname.com, handle.com, about.me/handle | Domain ownership, portfolio, blog, contact | | Academic | scholar.google.com "Name", orcid.org, researchgate.net | Publications, citations, affiliations |

Phase 3: Aggregator & Search Engine Leverage

• DuckDuckGo site:platform.com "Name" — no personalization, good for public profiles
• Google intext:"Name" inurl:linkedin — broader index, may hit auth walls
• Bing — often surfaces different results than Google
• Namechk / KnowEm — username availability checker (reverse: find where taken)
• Social Analyzer — CLI/API for multi-platform username enumeration

Phase 4: Enrichment & Correlation

• Email permutation → hunter.io, voilanorbert, findthat.email (from domain)
• Phone/address → Whitepages, TruePeopleSearch (US), local equivalents
• Domain WHOIS → whois johndoe.com → registrant name/email
• Image reverse search → Google Lens, Yandex, TinEye (profile photos across platforms)
• Certificate Transparency → crt.sh for subdomains (portfolio.NAME.com)

Verification Checklist (Confidence Scoring)

| Signal | Weight | |--------|--------| | Same handle across 3+ platforms | High | | Personal site links to LinkedIn/Behance/GitHub | High | | Company page lists person in role | High | | Mutual connections on LinkedIn | Medium | | Consistent bio/headline/location | Medium | | Cross-platform project references (ProjectX on LinkedIn + Behance + personal site) | High | | Single platform only, no cross-links | Low | | Common name, no disambiguators | Very Low |

Output Format (Standardized Dossier)

# Person Dossier: [Name]

## Summary
- **Primary Role**: [Title at Company]
- **Location**: [City, Country]
- **Confidence**: [High/Medium/Low] — [rationale]

## Verified Profiles
| Platform | URL | Handle | Status | Key Signals |
|----------|-----|--------|--------|-------------|
| LinkedIn | https://... | johndoe | ✅ Verified | 2K followers, Example Corp, 10+ certs |
| X/Twitter | https://... | @JohnDoe | ✅ Verified | 1.6K posts, Berlin|NYC, joined 2010 |
| Behance | https://... | johndoe | ✅ Verified | 10+ yrs exp, ProjectX/ProjectY case studies |
| Personal Site | https://johndoe.com | — | ✅ Verified | Portfolio, blog, resume, contact |

## Unverified / Partial
| Platform | URL | Notes |
|----------|-----|-------|
| Instagram | @john_doe | 0 posts, 60 followers — likely inactive/reserved |
| XING | John_Doe | Profile visible but gated behind login |
| F6S | johndoe | Bot detection blocked access |

## Not Found
- Facebook (no public profile matching name + role + location)
- YouTube (@johndoe → 404)
- GitHub (no public repos under handle)

Kimi WebBridge Deep Research Workflow

For deep, multi-tab OSINT research using the user's real browser (with their login sessions):

Session-Based Tab Group Management

macOS / Linux:

# 1. Start daemon if needed
~/.kimi-webbridge/bin/kimi-webbridge start

# 2. Create session with group title (first tab)
curl -X POST http://127.0.0.1:10086/command \
  -H "Content-Type: application/json" \
  -d '{"action":"navigate","args":{"url":"https://www.google.com","newTab":true,"group_title":"Self Research - [Target Name]"},"session":"[target-name]-research"}'

# 3. Search and open results in new tabs (same session = same group)
curl -X POST ... -d '{"action":"navigate","args":{"url":"https://www.linkedin.com/in/[handle]/","newTab":true},"session":"[target-name]-research"}'
curl -X POST ... -d '{"action":"navigate","args":{"url":"https://www.instagram.com/[handle]/","newTab":true},"session":"[target-name]-research"}'
# ... repeat for 10+ tabs across platforms

Windows (PowerShell):

# 1. Start daemon if needed
& "$env:USERPROFILE\.kimi-webbridge\bin\kimi-webbridge.exe" start

# 2. Create session with group title
$body = '{"action":"navigate","args":{"url":"https://www.google.com","newTab":true,"group_title":"Self Research - [Target Name]"},"session":"[target-name]-research"}'
$body | Set-Content -Path "$env:TEMP\kimi-nav.json" -Encoding UTF8
curl.exe -X POST http://127.0.0.1:10086/command -H "Content-Type: application/json" --data-binary @"$env:TEMP\kimi-nav.json"

Cross-platform (any shell):

# 1. Start daemon if needed
${HOME:-$USERPROFILE}/.kimi-webbridge/bin/kimi-webbridge${EXE:-} start

# 2. Create session (same curl command works everywhere)
curl -X POST http://127.0.0.1:10086/command \
  -H "Content-Type: application/json" \
  -d '{"action":"navigate","args":{"url":"https://www.google.com","newTab":true,"group_title":"Self Research - [Target Name]"},"session":"[target-name]-research"}'

Human-Like Interaction Pattern

# Fill search boxes via evaluate (avoids fill() issues)
curl ... -d '{"action":"evaluate","args":{"code":"document.querySelector(\"textarea[name='q']\").value = \"Target Name\""},"session":"..."}'

# Submit with fill (human-like)
curl ... -d '{"action":"fill","args":{"keys":"Enter"},"session":"..."}'

# Wait between actions (anti-detection)
sleep 3

# Switch tabs and extract content
curl ... -d '{"action":"find_tab","args":{"url":"https://..."},"session":"..."}'
curl ... -d '{"action":"snapshot","args":{},"session":"..."}'

Multi-Platform Coverage Checklist (10+ tabs)

| Tab | Target | Purpose | |-----|--------|---------| | 1 | Google Search | Seed query + result URLs | | 2 | LinkedIn Profile | Professional identity, role, company | | 3 | Facebook | Personal/social presence | | 4 | Instagram | Visual content, bio links, highlights | | 5 | YouTube Channel | Video content, subscriber count | | 6 | Google "Name LinkedIn" | LinkedIn-specific results | | 7 | Google "Name Instagram" | Instagram-specific results | | 8 | Google "Name YouTube" | YouTube-specific results | | 9 | Google "Name creator/influencer" | Content creator signals | | 10 | Google "Name interview podcast" | Media appearances | | 11+ | Direct content URLs (Shorts, Reels, Posts) | Deep content analysis |

Anti-Detection Best Practices (from user preference)

• Add random delays (2-5s) between tab navigation and extraction
• Use evaluate for form fills instead of fill (more reliable)
• Use fill for Enter/submit instead of clicking buttons
• Reuse single session name across all tabs → single tab group in browser
• Group title in user's language (e.g., "Self Research - Target Name")
• Snapshot after each state change to verify content loaded

Pitfalls to Avoid

• ❌ Assuming same name = same person (disambiguate with role/location/company)
• ❌ Trusting single-source claims without cross-reference
• ❌ Scraping behind login walls (ToS violation, unreliable)
• ❌ Ignoring "no result" — document what you checked
• ❌ Using stale cached data — re-verify live profiles for time-sensitive work
• ❌ Conflating personal vs. brand accounts (e.g., @john___inc ≠ @johndoe)

Skill Evolution Notes

• 2025-07-27: Created from deep search sessions — validated multi-platform methodology across 12+ platforms, documented handle correlation patterns, and standardized dossier output format.
• 2025-07-27: Applied methodology to search for connections between individuals — demonstrated how to document negative results when no public linkage exists between individuals.
• 2025-07-27: Applied methodology to resolve dual identities (creator persona vs. academic/professional persona) — validated human-like browsing patterns with anti-detection techniques: random delays, evaluate for form fills, send_keys for submit, single session across 11 tabs. Documented full extraction methodology and cross-platform correlation matrix.

Related Skills

• social-media-data-extraction — for bulk data collection from platforms
• computer-use — for GUI automation when browser tools hit auth walls

References

• [Kimi WebBridge Deep Research Workflow](file:///e:/hermes-skills-bundle/osint-person-search/references/kimi-webbridge-deep-research.md)

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: sloemo01
• Source: sloemo01/hermes-skills-bundle
• License: MIT

Install and usage instructions live in the source repository linked above.