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Tommy-yw
sherlock

OSINT username search across 400+ social networks. Hunt down social media accounts by username.

Overview

PublisherTommy-yw
RepositoryRunbookHermes
Skill namesherlock
Stars
546
Forks
41
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Tommy-yw on GitHub. Read the source before you install it.

Installation

Install the Sherlock AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Tommy-yw/RunbookHermes/tree/main/optional-skills/security/sherlock
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Tommy-yw/RunbookHermes.git /tmp/RunbookHermes
mkdir -p .claude/skills
cp -r /tmp/RunbookHermes/optional-skills/security/sherlock .claude/skills/sherlock
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sherlock in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Sherlock on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Sherlock is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Sherlock OSINT Username Search

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:

bash
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):

bash
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)

Do NOT ask about options via clarify — just run the default search. Users can request specific options if needed.

4. Execute Search

Run via the terminal tool. The command typically takes 30-120 seconds depending on network conditions and site count.

Example terminal call:

json
{
  "command": "sherlock --print-found --no-color \"target_username\"",
  "timeout": 180
}

5. Parse and Present Results

Sherlock outputs found accounts in a simple format. Parse the output and present:

  1. Summary line: "Found X accounts for username 'Y'"
  2. Categorized links: Group by platform type if helpful (social, professional, forums, etc.)
  3. Output file location: Sherlock saves results to <username>.txt by default

Example output parsing:

[+] Instagram: https://instagram.com/username
[+] Twitter: https://twitter.com/username
[+] GitHub: https://github.com/username

Present findings as clickable links when possible.

Pitfalls

No Results Found

If Sherlock finds no accounts, this is often correct — the username may not be registered on checked platforms. Suggest:

  • Checking spelling/variation
  • Trying similar usernames with ? wildcard: sherlock "user?name"
  • The user may have privacy settings or deleted accounts

Timeout Issues

Some sites are slow or block automated requests. Use --timeout 120 to increase wait time, or --site to limit scope.

Tor Configuration

--tor requires Tor daemon running. If user wants anonymity but Tor isn't available, suggest:

  • Installing Tor service
  • Using --proxy with an alternative proxy

False Positives

Some sites always return "found" due to their response structure. Cross-reference unexpected results with manual checks.

Rate Limiting

Aggressive searches may trigger rate limits. For bulk username searches, add delays between calls or use --local with cached data.

Installation

pipx (recommended)

bash
pipx install sherlock-project

pip

bash
pip install sherlock-project

Docker

bash
docker pull sherlock/sherlock
docker run -it --rm sherlock/sherlock <username>

Linux packages

Available on Debian 13+, Ubuntu 22.10+, Homebrew, Kali, BlackArch.

Ethical Use

This tool is for legitimate OSINT and research purposes only. Remind users:

  • Only search usernames they own or have permission to investigate
  • Respect platform terms of service
  • Do not use for harassment, stalking, or illegal activities
  • Consider privacy implications before sharing results

Verification

After running sherlock, verify:

  1. Output lists found sites with URLs
  2. <username>.txt file created (default output) if using file output
  3. If --print-found used, output should only contain [+] lines for matches

Example Interaction

User: "Can you check if the username 'johndoe123' exists on social media?"

Agent procedure:

  1. Check sherlock --version (verify installed)
  2. Username provided — proceed directly
  3. Run: sherlock --print-found --no-color "johndoe123" --timeout 90
  4. Parse output and present links

Response format:

Found 12 accounts for username 'johndoe123':

• https://twitter.com/johndoe123 • https://github.com/johndoe123 • https://instagram.com/johndoe123 • [... additional links]

Results saved to: johndoe123.txt


User: "Search for username 'alice' including NSFW sites"

Agent procedure:

  1. Check sherlock installed
  2. Username + NSFW flag both provided
  3. Run: sherlock --print-found --no-color --nsfw "alice" --timeout 90
  4. Present results

Frequently asked questions

What does the Sherlock AI skill do?

OSINT username search across 400+ social networks. Hunt down social media accounts by username.

Why use Sherlock on TypingMind?

Because you install it once and use it with any model. Sherlock is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Sherlock in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Tommy-yw/RunbookHermes/tree/main/optional-skills/security/sherlock. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Sherlock?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Sherlock?

As many as you like. As long as a model supports skills, you can use Sherlock with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Sherlock AI skill free?

Yes. It is published on GitHub by Tommy-yw under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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