AI Architect Newsletter
Pass
Audited by Gen Agent Trust Hub on Sep 25, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTIONEXTERNAL_DOWNLOADS
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill processes data from external websites and local files, creating a surface for potential indirect prompt injection attacks.
- Ingestion points: The skill uses WebSearch to ingest content from external AI lab blogs, arXiv, and GitHub, and reads local markdown files from the
/research/directory. - Boundary markers: There are no explicit delimiters or instructions provided to the model to ignore potential commands embedded in the ingested news or research data.
- Capability inventory: The skill possesses the ability to execute local TypeScript scripts via
npx tsxand perform file system writes to generate and archive newsletters. - Sanitization: The instructions do not define any specific sanitization or filtering logic for external data before it is processed by the model for synthesis.
- [COMMAND_EXECUTION]: The workflow relies on the execution of local utility scripts using
npx tsx. Specifically,gather-ai-news.ts,process-research.ts,generate-newsletter.ts, andoptimize-images.tsare called to automate different stages of the newsletter creation process. - [EXTERNAL_DOWNLOADS]: The skill fetches data from well-known AI organizations and research platforms, including OpenAI, Anthropic, Google DeepMind, Meta AI, and arXiv. These network operations are intended for information gathering and target trusted domains or well-known services.
Audit Metadata