credit-large-exposure-mgmt
credit-large-exposure-mgmt is a Privacy & regulatory compliance skill for AI agents, published by aliyun in the qwen-dianjin repository on GitHub. Skillspace rates credit-large-exposure-mgmt C (78/100) and it passed the safety scan; the rating is based on static analysis only.
大额风险暴露集中度监控与压降管理技能。基于银保监会大额风险暴露管理框架,执行全口径风险暴露计量、穿透识别、限额监测、超限预警与压降方案制定,防范集中度风险。触发词包括:"大额风险暴露监控"、"集中度检查"、"风险暴露计量"、"限额监测"、"超限预警"、"压降方案制定"、"查一下集中度"、"这个客户额度超了吗"、"大额风险暴露预警"、"集中度压降"。不适用于:企业个体信用评估、具体授信审批决策、财务数据分析、贷后风险监测。
- Grade
- C
- Quality
- 78 / 100
- Safety
- Passed
- GitHub stars
- 571
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- 84 / 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 banking risk-concentration compliance methodology, not repo-specific.
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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