本文へ移動
cccskills
無料GitHub で公開

sherlock

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

インストール方法を見る

含まれるファイル(1)

  • SKILL.md6.0 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

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:

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)

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:

{
  "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)

pipx install sherlock-project

pip

pip install sherlock-project

Docker

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

🔗 Связи

  • [[000 - Map of Maps]] — REPO_DOCS
  • [[000 - Map of Maps]] — Map of Maps

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

1password

無料

Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.

日本語の概要は準備中です。原文の説明を表示しています。

ibragimov-oasis/vibe-coder22026年6月24日 更新

Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like "review this paper", "analyze this research", "summarize this study", or "write a peer review".

日本語の概要は準備中です。原文の説明を表示しています。

ibragimov-oasis/vibe-coder22026年6月24日 更新

Add descriptions for new models from the HuggingFace router to chat-ui configuration. Use when new models are released on the router and need descriptions added to prod.yaml and dev.yaml. Triggers on requests like "add new model descriptions", "update models from router", "sync models", or when explicitly invoking /add-model-descriptions.

日本語の概要は準備中です。原文の説明を表示しています。

ibragimov-oasis/vibe-coder22026年6月24日 更新

Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.

日本語の概要は準備中です。原文の説明を表示しています。

ibragimov-oasis/vibe-coder22026年6月24日 更新

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.

日本語の概要は準備中です。原文の説明を表示しています。

ibragimov-oasis/vibe-coder22026年6月24日 更新

Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.

日本語の概要は準備中です。原文の説明を表示しています。

ibragimov-oasis/vibe-coder22026年6月24日 更新

ibragimov-oasis のスキルをすべて見る

このスキルの問題を報告する