dataset-engineering
Pass
Audited by Gen Agent Trust Hub on Sep 16, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill defines functions that ingest potentially untrusted data (documents, task seeds, and instruction examples) and interpolate them directly into prompts used for LLM-based data generation.
- Ingestion points: The
documentparameter ingenerate_qa, theseedsparameter inself_instruct, and theexampledictionary informat_instruction(all inSKILL.md). - Boundary markers: Absent. The templates do not use delimiters or instructions to ignore embedded commands within the data.
- Capability inventory: The skill utilizes
model.generateto process the interpolated prompts. No high-risk capabilities like file system writes or network operations are explicitly defined in the provided snippets. - Sanitization: No sanitization or validation of the input content is implemented before it is placed into the prompt strings.
Audit Metadata