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Near Phishing Detector

Detect potential phishing URLs and suspicious contracts targeting NEAR users.

Rating: 4.7 (274 reviews)
Downloads: 3,395 downloads
Version: 1.0.0

Overview

Detect potential phishing URLs and suspicious contracts targeting NEAR users.

Complete Documentation

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NEAR Phishing Detector Skill

Implementation entrypoint: {baseDir}/dist/index.js

Use this skill to quickly score suspicious links/contracts and generate actionable phishing reports.

Commands

python

@skill.command("near_phishing_check_url")
async def check_url(url: str) -> dict:
    """Check if URL is potential phishing"""

@skill.command("near_phishing_check_contract")
async def check_contract(contract: str) -> dict:
    """Check if contract is suspicious"""

@skill.command("near_phishing_report")
async def report_phishing(url: str, details: str) -> dict:
    """Report phishing attempt"""

@skill.command("near_phishing_database")
async def get_known_scams() -> list:
    """Get database of known scams"""

Notes

Designed for detection assistance, not legal determination.
Always verify with official NEAR channels before acting on high-risk links.

Installation

Terminal bash


openclaw install near-phishing-detector

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💻Code Examples

example.py

@skill.command("near_phishing_check_url")
async def check_url(url: str) -> dict:
    """Check if URL is potential phishing"""

@skill.command("near_phishing_check_contract")
async def check_contract(contract: str) -> dict:
    """Check if contract is suspicious"""

@skill.command("near_phishing_report")
async def report_phishing(url: str, details: str) -> dict:
    """Report phishing attempt"""

@skill.command("near_phishing_database")
async def get_known_scams() -> list:
    """Get database of known scams"""