amazon-listing-optimizer

Pass

Audited by Gen Agent Trust Hub on Oct 27, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTIONDATA_EXFILTRATION
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and analyze external data from Amazon listings, including product titles, bullet points, and descriptions, as well as search query performance data.
  • Ingestion points: Untrusted data is retrieved from Amazon catalog and performance sources using MCP tools such as amazon_listings_raw and amazon_child_product_organic_search_ranks_per_week (referenced in SKILL.md).
  • Boundary markers: The instructions do not define specific delimiters or instructions to prevent the agent from following directions that might be embedded within the listing copy being optimized.
  • Capability inventory: The skill primarily involves data reading and report generation; while it mentions a separate write skill (AMAZON_LISTINGS_UPDATE), the current instructions are read-only.
  • Sanitization: No explicit sanitization or filtering of the retrieved listing content is mandated before analysis. This represents a potential surface for indirect injection if an attacker controls a listing's content, though this is a low-risk concern inherent to the skill's purpose.
  • [DATA_EXFILTRATION]: The skill configuration specifies a remote Model Context Protocol (MCP) base URL at mcp.datadoe.com.
  • Network operations: The agent is instructed to interact with this non-whitelisted domain to fetch listing and search data.
  • Context: As this domain provides the core infrastructure for the skill's functionality, these network operations are considered legitimate within the scope of the intended use case.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 27, 2026, 09:18 PM