amazon-analysis

Pass

Audited by Gen Agent Trust Hub on Jul 24, 2026

Risk Level: SAFEPROMPT_INJECTIONCOMMAND_EXECUTIONEXTERNAL_DOWNLOADS
Full Analysis
  • [PROMPT_INJECTION]: The skill identifies as an analysis engine that processes untrusted external data (Amazon product titles, descriptions, and customer reviews), which creates an indirect prompt injection surface.
  • Ingestion points: External data is ingested via zoodata.py from the ZooData API and presented to the agent for categorization and sentiment analysis.
  • Boundary markers: The prompt rendering logic in scripts/zoodata.py (specifically render_review_map_prompt) uses triple-quote (""") delimiters to encapsulate review text before it is processed by the AI.
  • Capability inventory: The skill is capable of performing network requests to the vendor's API and executing its own Python scripts. It does not have arbitrary shell execution or file system write capabilities.
  • Sanitization: The skill truncates review text to 500 characters to limit the context window, though no explicit character escaping for the triple-quote delimiter is performed.
  • [COMMAND_EXECUTION]: The skill relies on the execution of a local Python script, scripts/zoodata.py, to communicate with the ZooData API. This script handles all data fetching and provides prompt templates for the agent.
  • [EXTERNAL_DOWNLOADS]: The skill performs legitimate network operations to api.zoodata.ai (the vendor's domain) to retrieve Amazon market statistics, brand details, and product information. These requests are authenticated using a user-provided API key.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 24, 2026, 12:03 PM
Security Audit — agent-trust-hub — amazon-analysis