Anti-Fraud Master
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About this skill
The Problem of Telecom Fraud and Immediate Intervention
In daily communications, users frequently receive scam messages impersonating customer service, law enforcement, or acquaintances. These messages employ high-pressure tactics, deceptive links, or vague requests to "secure accounts," making it difficult for ordinary users to quickly and accurately assess the risk level and true intent. Traditional rule-based or keyword-matching systems often fail to catch new variants and lack deep analysis of context and conversational patterns, leading to delayed intervention.
Skill Workflow and Core Mechanics
The Anti-Fraud Master skill provides a structured, explainable framework for real-time risk assessment and response. Its core principle is "Grade First, Respond Second"—all outputs are based on an auditable decision pipeline.
Core Capabilities: Detection, Protection, and Education
The skill integrates capabilities through four roles:
* Scam Talk Detector: Parses input text, extracts the five elements (who, what, money, link, urgency), and performs predicate matching against the built-in risk-levels.md rule set.
* Proactive Guardian: Monitors the dialogue flow, automatically inserts risk scans upon trigger words (e.g., transfer, verification code, screen sharing), and outputs reminders consistent with the final grade, preventing weak "incidental reminders."
* Verification Chain: Executes a six-layer verification from L1 predicate hits to L6 human review. Notably, at layer L3, when red predicates (R-series) are matched or semantic anomalies are detected, it automatically initiates external verification (e.g., web_search, official freeze-list checks) and labels conclusions as [Verified], [Inferred], or [Pending Verification].
* Education Coach: Tailors response scripts and anti-fraud education based on user demographics and context.
Key Steps: The Five-Step Grading Process and Advanced Analysis
The entire workflow strictly follows five steps:
1. Information Collection and Emergency Triage: First assess if the user is in a dangerous action (e.g., already transferred funds). If yes, immediately execute the emergency-sop.md stop-loss procedure, prioritized over grading. Otherwise, issue a one-time batch clarification list to fill the five elements.
2. Risk Scanning and Pre-routing: Scans predicates item-by-item and automatically determines if the deeper "brainstorming analysis process" should be triggered.
3. Risk Grading: Performs counter-hypothesis testing first, then outputs red, yellow, or green grades. Upgrade rules are explicit; for example, ≥2 yellow predicates involving funds or pressure upgrade to red.
4. Output Judgment: Before output, it enforces completion of L3-L5 verification and confidence calibration, providing evidence labels (e.g., [Verified]) and confidence basis (high/medium/low) for conclusions.
5. Action Recommendations: Outputs a verification checklist or a mandatory red strong-warning card based on the grade, along with specific stop-loss guidance and official helpline channels (e.g., 96110).
For complex or indeterminate cases (e.g., multi-role compound scams), the skill automatically or upon request enters the brainstorming analysis process, conducting step-by-step clarification and presenting multiple options with trade-offs, but never acts on behalf of the user.
Scope and Important Limitations
This skill focuses on individual anti-fraud education and immediate deterrence, with clear boundaries:
* Does not intervene in cases already under judicial proceedings, only provides official reporting channels.
* Does not offer professional conclusions in law, investment, or medicine; such inquiries should be directed to licensed professionals.
* Does not execute any actions for the user, such as clicking links, transferring money, or deleting information; all action suggestions require autonomous user confirmation.
* Does not fabricate scam types not in the knowledge base; for new or vague cases, it labels them as [Pending Verification] and suggests verification via official channels.
When fraud is ongoing, the skill forcefully inserts stop-loss instructions, emphasizing vigilance against secondary scams disguised as "refund," "recovery," or "unfreezing" attempts.
Use Cases
- When a user receives a call from a supposed 'bank risk control department' requesting a verification code or a transfer to a 'safe account', the skill analyzes the talk patterns and actions, quickly outputs a red/yellow/green risk level with specific response advice.
- When a user is guided by a suspected 'investment tutor' through a complex process involving downloading a strange app, small round-trip gains, and a final large investment, the skill parses whether this matches known scam patterns or is a new variant, providing interception guidance.
- When a user or their family reports clicking a suspicious link, installing a questionable app, or being asked to share their screen, the skill immediately initiates the stop-loss procedure, providing emergency guidance on the 'Stop-Disconnect-Verify-Freeze-Report' steps.
- Analyze a text of a suspected online part-time job ad, determining if features like 'free traffic diversion' or 'brushing cashback' constitute scam risks, and provide tailored promotional scripts for community workers to use with different groups (e.g., students, stay-at-home parents).
Best For
- Frontline customer service staff at banks or financial institutions, who need to quickly determine if a client's call is part of a scam and provide official response scripts.
- Finance or administrative personnel in enterprises, who face transfer or invoicing requests impersonating leaders, suppliers, or authorities and need pre-emptive risk identification.
- Community anti-fraud propagandists or volunteers, who need to understand the structure of various scam patterns to conduct targeted outreach and immediate intervention for residents, especially the elderly.
- Younger family members with elderly relatives (e.g., parents), who need to help elders analyze suspicious messages, links, or calls and explain the associated risks.