Farseek
v1.0.0Search AI-powered job listings matched to your skills across 22,700+ company boards and 20+ ATS platforms with relevance ranking and filtering.
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Suspicious
medium confidencePurpose & Capability
Name/description (AI job search across ATSs) match the SKILL.md: it documents a POST search endpoint returning ranked job results from many ATS platforms. Nothing in the skill asks for unrelated system access or credentials.
Instruction Scope
The SKILL.md instructs the agent to send user-provided skills, role, location, and titles to https://farseek.ai/api/v1/search. That is coherent with the stated purpose, but it means potentially sensitive personal data (skills, job history, location) will be transmitted to an external service of unknown provenance. The instructions do not require authentication or local file reads, but they also lack any privacy/retention/TOS details.
Install Mechanism
No install spec and no code files (instruction-only). This minimizes on-device footprint and there is no downloaded code that would run locally — lower technical risk. However, the runtime behavior involves network calls to an external endpoint.
Credentials
The skill requests no environment variables, credentials, or config paths, which is proportionate to a public API-style job search. Absence of required secrets is reasonable, but also means anyone (or the agent) can call the endpoint, amplifying privacy concerns.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request elevated platform privileges or persistent presence. There is no indication it alters other skills or system settings.
What to consider before installing
This skill appears to be a thin wrapper around an external job-search API. Before installing, consider: (1) provenance — there's no homepage or source code link; verify the domain and operator; (2) privacy — using the skill will POST personal job/profile data to farseek.ai; do not send sensitive data until you trust the service; (3) authentication and limits — no auth is documented; confirm whether the service requires a key or enforces rate limits; (4) test safely — try with synthetic/non-sensitive data first and inspect network logs; (5) request documentation or an official homepage from the publisher. If you need stronger guarantees, prefer skills hosted by known providers or those that publish source code and privacy/TOS documents.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.