القائمة
Detects referral abuse violations by investigating accounts, analyzing traffic patterns, and scoring violation indicators to determine enforcement action.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
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Detects and investigates referral abuse violations to determine risk severity and appropriate enforcement actions.
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استنادا إلى تصنيف SOC المهني
| name | referral-abuse-detection-v1 |
| description | Detects referral abuse violations by investigating accounts, analyzing traffic patterns, and scoring violation indicators to determine enforcement action. |
| required_tools | ["investigate_account","analyze_traffic_patterns","determine_enforcement_action"] |
| output_fields | ["enforcement_action"] |
Call investigate_account with account_id. Record all returned fields: address_validity, email_pattern_suspicious, website_verified, business_description, account_status, connected_accounts, and login_geographic_consistency.
Call analyze_traffic_patterns with account_id. Record all returned fields: revenue_amount, click_through_rate, page_views, device_distribution, referral_source_quality, payment_method_shared, and order_patterns_suspicious.
Call determine_enforcement_action with account_id to retrieve enforcement action guidelines.
Using the data from Steps 1 and 2, calculate four violation scores by counting how many indicators are TRUE for each category:
Abusive Account Creation Score (threshold >= 3):
Misleading Ad Copy Score (threshold >= 3):
Personal Orders Score (threshold >= 3):
No Violation Score (threshold >= 4):
Determine the violation type based on the HIGHEST score that meets its threshold. If multiple scores meet their thresholds, choose the highest score. If tied, use priority: Abusive Account Creation > Misleading Ad Copy > Personal Orders. If no score meets any threshold, the result is INCONCLUSIVE.
Apply the enforcement action:
