본문으로 건너뛰기
cccskills
무료GitHub에 공개

sherlock

Search more than 400 social networks and platforms for accounts using a given username. Receive organized links to matching pages for checking username availability or researching publicly available account information.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Find accounts for a username across 400+ platforms.

설치 방법 보기

이럴 때 유용합니다

  • Find accounts using a specific username
  • Check username availability across platforms
  • Gather public account links for authorized research
  • Search for variations of a username

포함된 파일(1)

  • SKILL.md5.9 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

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

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

1password

무료

Set up the 1Password CLI and use stored passwords or API keys in commands and configuration templates. Choose an authentication method, retrieve secret references, and pass credentials to processes through environment variables.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Installing and configuring the 1Password CLI
  • Running commands with stored API keys
  • Filling configuration templates with stored secrets
NousResearch/hermes-agent25.5만2026년 10월 18일 업데이트

Build an Excel workbook linking the income statement, balance sheet, and cash flow statement. Populate historical figures, create formula-based forecasts, compare scenarios, and check that balances and cash totals agree across all three statements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Populating a financial model template with historical data
  • Building linked forecasts across three financial statements
  • Comparing base, upside, and downside scenarios
NousResearch/hermes-agent25.5만2026년 10월 18일 업데이트

Adapt existing PyTorch training scripts to use multiple GPUs or machines with limited code changes. The skill guides configuration, launch commands, mixed precision, which uses lower-precision numbers, and DeepSpeed or FSDP settings for distributing training work and memory.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Move a single-GPU training script to multiple GPUs
  • Configure mixed precision training
  • Set up DeepSpeed or FSDP to reduce memory use
NousResearch/hermes-agent25.5만2026년 10월 18일 업데이트

Configure Hermes to run AI models through Actual Computer on your own hardware. Set up either the hosted relay or a local connection, select models, verify responses, and troubleshoot request errors or empty output.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Connecting Hermes with an Actual inference key
  • Running models through a local Actual daemon
  • Downloading and loading local models
NousResearch/hermes-agent25.5만2026년 10월 18일 업데이트

Test an app from the perspective of a frustrated, less technical user. Find confusing steps and barriers, separate actionable usability problems from personal complaints, and produce screenshots, suggested fixes, and prioritized tickets.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Reviewing usability before a launch or demo
  • Checking the experience of a new user
  • Finding friction in signup and subscription flows
NousResearch/hermes-agent25.5만2026년 10월 18일 업데이트

Resolve Git merge conflicts between two agents by comparing both changes and their stated goals. Combine compatible work, explain choices where designs differ, and verify the merged result with project builds or tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Resolving conflicts between branches edited by two agents
  • Integrating changes from parallel worktrees
  • Reviewing reasons for conflicting design choices
NousResearch/hermes-agent25.5만2026년 10월 18일 업데이트

NousResearch의 스킬 모두 보기

이 스킬의 문제 신고