A high-performance security API that utilizes heuristic algorithms to identify phishing URLs and malicious links in real time.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install phishing-detection
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install phishing-detection using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Heuristic Phishing Detection is a specialized security tool designed for Openclaw Skills users who need proactive defense against evolving cyber threats. Unlike traditional methods that rely solely on static blocklists, this skill employs advanced heuristic algorithms to analyze URL structures, domain characteristics, and behavioral patterns. It provides a deep dive into suspicious links to determine threat likelihood with high precision.
By integrating this skill into your AI agent's workflow, you enable real-time risk assessment for any URL encountered in digital communications. Whether it is a homograph domain or brand impersonation attempt, the tool generates a detailed risk score and confidence level, making it an essential asset for security teams, email filtering systems, and automated incident response environments.
To integrate Heuristic Phishing Detection into your Openclaw Skills environment, you can access the API via the following configuration:
# Access the API Documentation
curl -X 'POST' \
'https://api.mkkpro.com/security/phishing-detection/check-url' \
-H 'accept: application/json' \
-H 'Content-Type: application/json' \
-d '{"url": "https://example-suspicious-link.com"}'
The skill provides a structured output to facilitate automated decision-making. Below is the primary data model for analysis results:
| Field | Type | Description |
|---|---|---|
| is_phishing | boolean | Binary flag indicating if the URL is identified as a threat. |
| risk_score | number | A value from 0.0 (safe) to 1.0 (high risk). |
| threat_indicators | array | List of detected patterns (e.g., suspicious_tld, homograph_domain). |
| confidence | number | The statistical confidence level of the analysis results. |
| analysis_timestamp | string | ISO 8601 timestamp of the analysis event. |
Loading
A comprehensive framework for developing, backtesting, and refining profitable cryptocurrency trading strategies using the Freqtrade ecosystem.

A specialized task planner for collaborative robots designed to manage industrial workflows through structured JSON and CSV tasking.

A spatial computing engine that organizes environments into 2x2m grid units for efficient AI swarm orchestration and hardware command hierarchy.

A reliability-focused skill that ensures AI agents follow through on long-running tasks by scheduling automated reminders across all configured messaging channels.

A mandatory quality enforcement skill that ensures every frontend component or screen includes essential data, interaction, and accessibility states before shipping.

A specialized CLI tool for managing, searching, and exporting electrical switchgear specifications and status reports.








































