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.
npx skills add nativ3ai/hermes-agent-camel --skill sherlockgit clone --depth 1 https://github.com/nativ3ai/hermes-agent-camelWrote 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.
[](https://agentmods.dev/skills/nativ3ai/hermes-agent-camel/sherlock)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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.
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.
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-projectorpip 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) orpip 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)
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.
- 10d ago First seen · 192 lines · 23 tokens per session scan A 558733410481
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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