aws-wechat-article-topics
Pass
Audited by Gen Agent Trust Hub on Apr 26, 2026
Risk Level: SAFECOMMAND_EXECUTIONDATA_EXFILTRATIONPROMPT_INJECTION
Full Analysis
- [COMMAND_EXECUTION]: The skill invokes local Python scripts (
article_init.pyandgetdraft.py) located in sibling directories to manage article initialization and metadata. - Evidence: Found in
SKILL.mdreferences to{baseDir}/../aws-wechat-article-publish/scripts/. - Context: These scripts are part of the 'aiworkskills' suite and represent standard vendor-provided functionality for the article management workflow.
- [DATA_EXFILTRATION]: The skill is designed to perform network operations using web search and fetch tools to gather external information.
- Evidence:
SKILL.mdandreferences/research-strategy.mddetail strategies for callingweb_searchandweb_fetch. - Context: This behavior is used to research competitor content and trending topics as part of the primary skill purpose.
- [PROMPT_INJECTION]: The skill exhibits an attack surface for indirect prompt injection due to its ingestion of untrusted content from the web.
- Ingestion points: External article content and search snippets retrieved via
web_searchandweb_fetch(documented inreferences/research-strategy.md). - Boundary markers: Absent; there are no specific instructions or delimiters provided to isolate the fetched external content from the agent's core instructions.
- Capability inventory: The agent has the ability to write to the local filesystem (creating
topic-card.md,research.md, andarticle.yaml) and execute suite-specific Python scripts. - Sanitization: Absent; the skill lacks explicit logic to sanitize or filter potential instructions embedded within the external research data.
Audit Metadata