dataify-brand-monitoring
品牌监控工具,代码存在文档未声明的阴影功能(文件写入、subprocess调用、环境变量访问),但功能本身合法且符合业务场景,无恶意指标
Why this conclusion was reached
1/4 dimensions flagged3 undeclared or violating capabilities were inferred.
3 lower-risk artifacts were extracted and still need context.
There is no explicit malicious chain in the report.
Dependency information is incomplete, so supply-chain confidence stays limited.
What drove the risk score up
SKILL.md未提及会创建state.json/report.json/report.md/raw/等文件
代码调用subprocess执行其他技能脚本,SKILL.md仅提及run_brand_monitoring.py
访问DATAIFY_API_TOKEN但SKILL.md未声明
Most important evidence
文件写入功能未在文档声明
代码会在执行目录创建state.json、report.json、report.md和raw/子目录,但SKILL.md仅提及run_brand_monitoring.py脚本,未说明会写文件
scripts/business_workflow.py:179 subprocess调用未在文档声明
代码通过subprocess调用其他技能脚本(serp-google-*/scraper-*等),SKILL.md仅声称使用run_brand_monitoring.py
scripts/business_workflow.py:117 环境变量访问未在文档声明
代码读取DATAIFY_API_TOKEN环境变量进行API认证,但SKILL.md未声明需要此环境变量
scripts/business_workflow.py:184 Declared capability vs actual capability
scripts/business_workflow.py:179-181 scripts/business_workflow.py:117-118 scripts/business_workflow.py:184 scripts/business_workflow.py:143-162 Suspicious artifacts and egress
https://dashboard.dataify.com/login?utm_source=skill SKILL.md:50
https://scraperapi.dataify.com/request scripts/business_workflow.py:152
https://webunlocker.dataify.com/request scripts/business_workflow.py:161
Dependencies and supply chain
There are no structured dependency warnings.
File composition
scripts/business_workflow.py SKILL.md