Sherlock

Hunt usernames across 400+ social networks from the CLI. Latest source check: v0.16.0 / PyPI sherlock-project==0.16.0, 85K+ GitHub stars. Complements Security and Review Skills for OSINT-style person/username reconnaissance.

What It Is

Sherlock is a Python CLI that checks whether a username exists on hundreds of social platforms, forums, and sites. It outputs found accounts to text, CSV, or JSON. The project ships with a maintained site list, proxy support, and Docker packaging. Source: github.com/sherlock-project/sherlock, 2026-06-01

Install via pipx install sherlock-project, Homebrew, or Docker. Official docs at sherlockproject.xyz include an llms.txt index for agent discovery. Source: sherlockproject.xyz, 2026-06-01

Current Source Snapshot

As of 2026-06-30, sherlock-project/sherlock is MIT-licensed, default branch master, latest release/tag v0.16.0 published 2025-09-16, HEAD 206068dc7842665130c87e16e1535572d3d1a907, 85,904 stars, and 10,051 forks. PyPI package sherlock-project latest is 0.16.0. Brin returned 92 safe with high confidence. Source: GitHub API, PyPI, Brin API, 2026-06-30

The local artifact is the GitHub README hero: Sherlock logo, "Hunt down social media accounts by username across 400+ social networks," install/usage links, and a terminal demo. This matches the maintained upstream docs and does not add a separate install surface. Source: local X artifact review, 2026-06-30

Why It Matters for Kevin's Stack

Agent Reach covers live search and read on Twitter, Reddit, GitHub, and the web. Sherlock fills the username enumeration gap: given a handle, map where that identity appears across the long tail of platforms Agent Reach does not expose as first-class channels. Useful for recruiter discovery, person-page enrichment, and security research workflows paired with Security and Review Skills. Source: compiled from agent-reach.md, sherlock README

The executable route is already in agent-reach under "Username OSINT." Do not create a duplicate Sherlock skill unless Kevin starts repeating a longer handle-enrichment workflow with output normalization, person-page merge rules, and privacy checks.

Usage

pipx install sherlock-project
sherlock user123
sherlock user1 user2 user3 --csv

---

Timeline

• 2026-06-30 | Re-reviewed local artifact, GitHub release/source state, PyPI package, and Brin score. Kept the executable route inside agent-reach; no new standalone skill is needed. Source: X bookmark artifact audit, 2026-06-30
• 2026-06-01 | Enriched X bookmark absorption: @tom_doerr signal (377 bookmarks). Resolved README + sherlockproject.xyz docs via enrichment pipeline. Dedicated page created. Source: X/@tom_doerr, 2026-04-10
• 2026-04-10 | @tom_doerr bookmarks Sherlock: "Finds usernames across 400+ social networks." 339 likes, 377 bookmarks. Source: X/@tom_doerr, 2026-04-10