check-user-fraudQuery MySQL database to analyze user fraud/shuadan behavior. Use when user asks to check if a user is engaging in fraudulent task completion. Analyzes time i...
Install via ClawdBot CLI:
clawdbot install star1986c/check-user-fraudGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 20, 2026
Online marketplaces can use this skill to identify users who artificially inflate seller ratings through fake transactions. When customers report suspicious accounts or the system flags abnormal activity patterns, this tool analyzes task completion intervals and publisher concentration to detect coordinated shuadan behavior.
Task-based platforms can implement this skill to verify legitimate task completion versus fraudulent activity. By analyzing time intervals between task acceptance and submission, along with task duplication patterns, platforms can identify users who game the system for rewards without genuine participation.
Content platforms with user-generated tasks can use this skill to detect artificial engagement boosting. The analysis of top refresh status and publisher concentration helps identify users who manipulate content visibility through non-organic means, ensuring platform integrity and fair content distribution.
Fintech companies can apply this skill during user onboarding or transaction monitoring to detect pattern-based fraud. By analyzing time intervals and task repetition, the system identifies users who might be testing system vulnerabilities or engaging in coordinated fraudulent activities across multiple accounts.
Loyalty and rewards programs can integrate this skill to prevent point farming through fake task completion. The analysis of completion time intervals and publisher concentration helps identify users who systematically exploit program mechanics rather than engaging in genuine platform activities.
Offer this skill as a cloud-based service where businesses pay monthly subscriptions based on user volume. The service provides automated fraud analysis reports with configurable risk thresholds, helping platforms reduce manual review costs while maintaining security standards.
Sell this skill as part of comprehensive security suites for large platforms. Integrate with existing fraud detection systems and provide detailed analytics dashboards, with revenue coming from enterprise licensing fees and custom integration services for specific business needs.
Provide this skill as part of fraud prevention consulting packages. Offer custom modifications to the analysis algorithms, database integration services, and ongoing monitoring support, with revenue generated through project-based fees and retainer agreements.
💬 Integration Tip
Ensure proper database connection configuration and test with sample user IDs before production deployment to verify analysis accuracy and system stability.
Scored Apr 19, 2026
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