journal-recommender
Pass
Audited by Gen Agent Trust Hub on Sep 23, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and analyze untrusted external data, including manuscript topics, abstracts, and full texts, which establishes a surface for indirect prompt injection attacks.
- Ingestion points: Inputs such as
topic,abstract, andmanuscriptare defined inSKILL.mdas data sources for agent analysis. - Boundary markers: The instructions do not specify the use of delimiters or provide explicit guidance for the agent to disregard instructions potentially embedded within the research content.
- Capability inventory: The workflow involves performing deep analysis of innovation and workload on the provided text, and it uses
scripts/journal_ranker.pyto sort and rank the resulting data. - Sanitization: There are no documented steps for validating or sanitizing the input text to prevent malicious instructions from affecting the agent's assessment logic.
Audit Metadata