scientific-critical-thinking
Pass
Audited by Gen Agent Trust Hub on Oct 23, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and analyze external content such as research papers, drafts, and datasets. This creates a surface for indirect prompt injection where malicious instructions could be embedded in the analyzed data to manipulate the agent's critique or final report.
- Ingestion points: Processes user-provided drafts, data, and scientific papers as specified in the Agent Operating Procedure (SKILL.md).
- Boundary markers: The skill relies on procedural instructions but lacks explicit delimiters or sandboxing for untrusted data processed at runtime.
- Capability inventory: Access to
Read,Write, andEdittools, and the ability to execute a local python script for schematic generation. - Sanitization: No specific sanitization or filtering of input data is defined beyond standard agent safeguards.
- [COMMAND_EXECUTION]: The skill includes instructions for the agent to execute a local python script (
skills/scientific-schematics/scripts/generate_schematic.py) to generate visual aids. This execution is limited to a specific vendor-owned utility and is triggered only by explicit user request. - [EXTERNAL_DOWNLOADS]: The documentation describes optional integration with OpenRouter for schematic generation. It neutrally notes that prompts are sent to the third-party API and provides a disclosure regarding sensitive data transmission.
Audit Metadata