Search 400+ platforms for accounts linked to a username.
npx skills add https://github.com/Z43L/zeus-agent --skill sherlock-z43l
Please help me install this Agent Skill. Skill: sherlock Source: https://github.com/Z43L/zeus-agent/tree/main/optional-skills/security/sherlock Command: npx skills add https://github.com/Z43L/zeus-agent --skill sherlock-z43l
Sherlock OSINT username search eliminates the manual effort of checking hundreds of platforms one by one by automatically locating accounts associated with a given username.
Use the sherlock skill to search for the username you provide and return all discovered accounts with links and a match count.
High-intent search queries and answers about installing and using this skill.
Username search across social networks locates accounts associated with a specific handle by running OSINT reconnaissance across 400+ platforms. It returns a summary of matches with direct links, typically saving results to a local .txt file.
Cross-platform username reconnaissance checks availability by querying 400+ social networks using the Sherlock Project. It returns a match count and platform links, confirming whether a handle is already registered or available.
Yes, OSINT username searches require the Sherlock CLI installation or equivalent execution environment. The process depends on network access with an adjustable timeout to reliably query social networks and return discovered accounts.
Yes, social network account discovery supports Tor routing for privacy when explicitly requested. It also supports NSFW platform inclusion and configurable timeouts to properly scope the OSINT reconnaissance.
Cross-platform username reconnaissance handles identity verification by locating where a specific handle is registered across common social and professional networks. It returns discovered accounts with links and a match count for verification.
OSINT username searches may time out due to network latency when querying 400+ platforms. The process uses an adjustable timeout setting to balance thoroughness with reliability, ensuring stable reconnaissance results across social networks.
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