scholar-evaluation

Pass

Audited by Gen Agent Trust Hub on Sep 14, 2026

Risk Level: SAFE
Full Analysis
  • [DATA_EXFILTRATION]: All data processing is strictly local. The skill includes a dedicated validation layer in _common.py that rejects common sensitive data fields and blocks URL-based references, ensuring that research data remains within the local environment.\n- [EXTERNAL_DOWNLOADS]: The skill recommends fetching metadata for scholarly citations from the arXiv repository, an established academic service. This retrieval is limited to citation formatting and does not impact the skill's logic or execution.\n- [DYNAMIC_EXECUTION]: The provided tooling relies exclusively on the Python standard library for data processing. Analysis confirms the absence of dynamic code execution, subprocess spawning, or external package dependencies.\n- [PROMPT_INJECTION]: The instructions incorporate explicit hard safety boundaries and mandatory ethics review steps that prohibit the use of the skill for high-impact decisions, ranking individuals, or proxy-based quality assessments.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 14, 2026, 03:50 PM
Security Audit — agent-trust-hub — scholar-evaluation