vlm-verifier
vlm-verifier is a Computer vision skill for AI agents, published by aliyun in the qwen-dianjin repository on GitHub. Skillspace rates vlm-verifier C (78/100) and it passed the safety scan; the rating is based on static analysis only.
企业信贷跨模态材料核验与分析技能。基于贷款申请材料(图片、文档、流水)与基准数据源,以视觉语言模型(VLM)解析图像证据,结合LLM对文本/结构化数据的分析,实现跨模态数据交叉比对,构建结构化检测点,通过迭代推理验证材料真实性,输出可解释的跨模态核验报告。触发词包括:"材料核验"、"反欺诈审查"、"交叉验证"、"材料真实性核验"、"VLM识别"、"多模态分析"、"欺诈检测"、"跨模态证据核查"。不适用于:个人信贷材料核验、非反欺诈场景(如行业分析/估值建模)、要求输出审批意见或违约概率预测。
- 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 credit anti-fraud verification workflow, no product or repo tie
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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