sherlock

sherlock is a skill for Claude Code, Codex from nativ3ai/hermes-agent-camel. It costs 23 tokens per session (1,433 once invoked), scanned A, a copy of sherlock, MIT.

A command-line tool for checking whether a username appears on more than 400 social networks. This kind of search is often called OSINT, meaning the collection of information from publicly available sources.

In plain words
What is it for?
Use it to look for accounts linked to a username, check username availability across platforms, or perform authorised open-source reconnaissance.
Why use it?
It saves you from checking many social websites individually when investigating where a username is used. Results can help with account discovery or username-availability checks.

Skill for Claude CodeCodex

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

Good fit Use it to look for accounts linked to a username, check username availability across platforms, or perform authorised open-source reconnaissance.

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Install with agentmods
npx agentmods add skills/nativ3ai/hermes-agent-camel/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 nativ3ai/hermes-agent-camel --skill sherlock
Clone the repo
git clone --depth 1 https://github.com/nativ3ai/hermes-agent-camel

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/nativ3ai/hermes-agent-camel/sherlock/github.svg)](https://agentmods.dev/skills/nativ3ai/hermes-agent-camel/sherlock)
Your own site
<a href="https://agentmods.dev/skills/nativ3ai/hermes-agent-camel/sherlock"><img src="https://agentmods.dev/badge/skills/nativ3ai/hermes-agent-camel/sherlock/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for sherlock

Your own site · 80×15
<a href="https://agentmods.dev/skills/nativ3ai/hermes-agent-camel/sherlock"><img src="https://agentmods.dev/badge/skills/nativ3ai/hermes-agent-camel/sherlock.svg" alt="Reviewed on agentmods" width="80" 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 1,433 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 95% 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 $0.01433
Opus 5 $0.00012 $0.00717
Sonnet 5 $0.00005 $0.00287
Haiku 4.5 $0.00002 $0.00143

Measured 10d ago against content hash 558733410481, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, 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 10d 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

95% identical to sherlock — 3 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.

optional-skills/security/sherlock/SKILL.md · 192 lines

How it starts

The opening of the file, as written. The whole thing — 192 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 · 192 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. 10d ago First seen · 192 lines · 23 tokens per session scan A 558733410481

Subscribe to this mod's changes

sherlock is a skill published in the GitHub repository nativ3ai/hermes-agent-camel (196 stars, last pushed 4mo ago), licensed MIT. It adds 23 tokens to every session and 1,433 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to sherlock, differing in 3 lines, and is treated as a copy.

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