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。
OSINT username search across 400+ social networks. Hunt down social media accounts by username.
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。
Hunt down social media accounts by username across 400+ social networks using the Sherlock Project.
pipx install sherlock-project or pip install sherlock-projectdocker run -it --rm sherlock/sherlock)Before doing anything else, verify sherlock is available:
sherlock --version
If the command fails:
pipx install sherlock-project (recommended) or pip install sherlock-projectExtract the username directly from the user's message if clearly stated.
Examples where you should NOT use clarify:
nasajohndoe123alicebobOnly use clarify if:
When extracting, take the exact username as stated — preserve case, numbers, underscores, etc.
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.
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
}
Sherlock outputs found accounts in a simple format. Parse the output and present:
<username>.txt by defaultExample output parsing:
[+] Instagram: https://instagram.com/username
[+] Twitter: https://twitter.com/username
[+] GitHub: https://github.com/username
Present findings as clickable links when possible.
If Sherlock finds no accounts, this is often correct — the username may not be registered on checked platforms. Suggest:
? wildcard: sherlock "user?name"Some sites are slow or block automated requests. Use --timeout 120 to increase wait time, or --site to limit scope.
--tor requires Tor daemon running. If user wants anonymity but Tor isn't available, suggest:
--proxy with an alternative proxySome sites always return "found" due to their response structure. Cross-reference unexpected results with manual checks.
Aggressive searches may trigger rate limits. For bulk username searches, add delays between calls or use --local with cached data.
pipx install sherlock-project
pip install sherlock-project
docker pull sherlock/sherlock
docker run -it --rm sherlock/sherlock <username>
Available on Debian 13+, Ubuntu 22.10+, Homebrew, Kali, BlackArch.
This tool is for legitimate OSINT and research purposes only. Remind users:
After running sherlock, verify:
<username>.txt file created (default output) if using file output--print-found used, output should only contain [+] lines for matchesUser: "Can you check if the username 'johndoe123' exists on social media?"
Agent procedure:
sherlock --version (verify installed)sherlock --print-found --no-color "johndoe123" --timeout 90Response 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:
sherlock --print-found --no-color --nsfw "alice" --timeout 90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。
概要と使いどころ
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。
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。
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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。
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。
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。
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。