insurance-claim-fraud-detection
insurance-claim-fraud-detection is a Business analysis & reporting skill for AI agents, published by aliyun in the qwen-dianjin repository on GitHub. Skillspace rates insurance-claim-fraud-detection C (77/100) and it passed the safety scan; a judge model has also reviewed it.
对理赔案件进行多维度欺诈风险检测，综合分析材料一致性、行为模式、历史记录等信息，计算欺诈风险评分，识别虚假理赔、骗保欺诈等可疑信号。当需要评估理赔案件欺诈风险、识别可疑骗保行为、对高风险案件进行预警时触发。适用于理赔欺诈筛查、可疑案件调查决策、反欺诈合规管理场景。触发词：欺诈风险、骗保嫌疑、欺诈评分。
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 571
Placed #3 of 6 in the judged category final for Business analysis & reporting.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. General insurance claim fraud-scoring workflow, no org-specific systems
Judge review
Placed #3 of 6 in the judged category final for Business analysis & reporting.
- Trigger
88 88 - Instructions
90 90 - Specificity
93 93 - Safety
85 85 - Disclosure
82 82 - Maintenance
82 82
Explicit weighted fraud-score formula with a sidecar monitoring mode across four claim-lifecycle triggers, though it never states a PII-masking rule the way its lending counterpart does.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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