scammer

Classify scam types and stages from suspicious messages with structured guidance.

76|11|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/naxiaoduo/Scammer.skill --skill scammer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scammer
Source: https://github.com/naxiaoduo/Scammer.skill/tree/main
Command: npx skills add https://github.com/naxiaoduo/Scammer.skill --skill scammer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users quickly assess whether a message is a scam, identify the exact stage in the scam playbook, and receive actionable guidance to protect themselves.

Core Features & Use Cases

  • Detect suspicious messages and classify the scam type
  • Locate the current stage within the scam playbook
  • Predict the next move of the attacker and provide protective recommendations
  • Manage local scam library with add/merge/versioning workflows (e.g., add new samples, merge incremental updates, and rollback)

Quick Start

Paste a suspicious message and ask the AI to detect its scam stage and next actions.

Frequently Asked Questions about scammer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect the scam stage from a suspicious text message?

To detect the scam stage from a suspicious message, paste the text or screenshot into the analyzer. It identifies the scam type, locates the current playbook stage, and outputs actionable protective guidance against the attacker's next moves.

How does pattern analysis work for local scam detection?

Pattern analysis for scam detection works by loading a local script library and evaluating identity, platform, and money signals. This process maps suspicious conversations to specific scam stages and predicts the attacker's next actions.

Can I analyze multi-turn chat screenshots for anti-fraud signals?

Yes, you can analyze multi-turn chat screenshots for anti-fraud signals. The system processes pasted messages or conversations across common channels to extract identity and money motivations, determining the exact scam playbook stage.

What is the best way to manage and update a local scam script library?

The best way to manage a local scam script library is using built-in add, merge, and versioning workflows. You can add new suspicious samples, merge incremental updates, and rollback versions to keep your scam detection capabilities current.

Does scam detection work without submitting private message data externally?

Scam detection supports local privacy by loading a local scams library to analyze message signals. This approach evaluates identity, platform, and money motivations directly to determine the scam stage without requiring external data submission.

What protective steps should I take after identifying a scam message stage?

After identifying a scam message stage, you should follow the structured outputs provided, which include predicted next moves and practical guidance. These proactive protection recommendations help you counter the specific scam tactic effectively.