sherlock

sherlock is a skill for Claude Code, Codex from johnson7788/MultiUserClaw. It costs 23 tokens per session (1,444 once invoked), scanned A, a copy of sherlock, MIT.

A username investigation tool that checks whether a chosen username appears on hundreds of social networks.

In plain words
What is it for?
It helps find accounts linked to a username and check whether that username is registered across social platforms.
Why use it?
It reduces the time needed to check many platforms individually during identity research or account-availability checks.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps find accounts linked to a username and check whether that username is registered across social platforms.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/johnson7788/multiuserclaw/sherlock
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add johnson7788/MultiUserClaw --skill sherlock
Clone the repo
git clone --depth 1 https://github.com/johnson7788/MultiUserClaw

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for sherlock

README.md
[![agentmods](https://agentmods.dev/badge/skills/johnson7788/multiuserclaw/sherlock.svg)](https://agentmods.dev/skills/johnson7788/multiuserclaw/sherlock)
Your own site
<a href="https://agentmods.dev/skills/johnson7788/multiuserclaw/sherlock"><img src="https://agentmods.dev/badge/skills/johnson7788/multiuserclaw/sherlock.svg" alt="Measured on agentmods" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,444 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 98% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00023 $0.01444
Opus 5 $0.00012 $0.00722
Sonnet 5 $0.00005 $0.00289
Haiku 4.5 $0.00002 $0.00144

Measured 4d ago against content hash e79d38077bff, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

sherlock scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

98% identical to sherlock — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

hermes-agent/optional-skills/security/sherlock/SKILL.md · 193 lines

How it starts

The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hunt down social media accounts by username across 400+ social networks using the Sherlock Project.

When to Use

  • User asks to find accounts associated with a username
  • User wants to check username availability across platforms
  • User is conducting OSINT or reconnaissance research
  • User asks "where is this username registered?" or similar

Requirements

  • Sherlock CLI installed: pipx install sherlock-project or pip install sherlock-project
  • Alternatively: Docker available (docker run -it --rm sherlock/sherlock)
  • Network access to query social platforms

Procedure

1. Check if Sherlock is Installed

Before doing anything else, verify sherlock is available:

sherlock --version

If the command fails:

  • Offer to install: pipx install sherlock-project (recommended) or pip install sherlock-project
  • Do NOT try multiple installation methods — pick one and proceed
  • If installation fails, inform the user and stop

2. Extract Username

Extract the username directly from the user's message if clearly stated.

Examples where you should NOT use clarify:

  • "Find accounts for nasa" → username is nasa
  • "Search for johndoe123" → username is johndoe123
  • "Check if alice exists on social media" → username is alice
  • "Look up user bob on social networks" → username is bob

Only use clarify if:

  • Multiple potential usernames mentioned ("search for alice or bob")
  • Ambiguous phrasing ("search for my username" without specifying)
  • No username mentioned at all ("do an OSINT search")

When extracting, take the exact username as stated — preserve case, numbers, underscores, etc.

3. Build Command

Default command (use this unless user specifically requests otherwise):

sherlock --print-found --no-color "<username>" --timeout 90

Optional flags (only add if user explicitly requests):

  • --nsfw — Include NSFW sites (only if user asks)
  • --tor — Route through Tor (only if user asks for anonymity)

Read the full file on GitHub · 193 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 193 lines · 23 tokens per session scan A e79d38077bff

Subscribe to this mod's changes

sherlock is a skill published in the GitHub repository johnson7788/MultiUserClaw (317 stars, last pushed 25d ago), licensed MIT. It adds 23 tokens to every session and 1,444 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to sherlock, differing in 2 lines, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens