电商用户行为分析
Security checks across static analysis, malware telemetry, and agentic risk
Overview
This instruction-only skill is coherent for analyzing user-provided e-commerce behavior data; the main thing to watch is privacy of customer and transaction records.
Before installing, confirm you are comfortable providing e-commerce behavior datasets to the agent. Prefer anonymized user IDs, remove unnecessary personal data, and treat generated reports as analytics guidance rather than automatic business decisions.
Static analysis
No static analysis findings were reported for this release.
VirusTotal
VirusTotal findings are pending for this skill version.
Risk analysis
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
Customer IDs, purchase behavior, and transaction amounts could be sensitive if the uploaded dataset is not anonymized or minimized.
The skill is intended to process customer identifiers, behavioral events, and optional transaction amounts. This is expected for the stated analytics purpose, but it means users may place sensitive business or customer data into the agent context.
| user_id | 用户唯一标识 | ... | action | 行为类型 | view, add_cart, purchase | ... | amount | 交易金额 |
Use anonymized or aggregated datasets where possible, remove unnecessary personal data, and confirm your organization allows this kind of data to be processed by the agent.