ml-failfast-validation
Pass
Audited by Gen Agent Trust Hub on Apr 4, 2026
Risk Level: SAFEPROMPT_INJECTIONREMOTE_CODE_EXECUTION
Full Analysis
- [DYNAMIC_EXECUTION]: The provided code snippets demonstrate the use of
torch.load()for model checkpointing. This method relies on thepicklemodule, which is known for unsafe deserialization. If an agent or user loads a checkpoint file provided by an untrusted source, it could lead to arbitrary code execution. - [INDIRECT_PROMPT_INJECTION]: The skill defines logic for fetching external data and reading experiment logs, creating a surface for indirect prompt injection if the processed content contains malicious instructions.
- Ingestion points: The
fetch_datafunction and theexperiment.jsonllog file described inSKILL.md. - Boundary markers: Not present; the templates do not specify the use of delimiters or warnings to ignore instructions within the data.
- Capability inventory: The skill involves file system operations including reading and writing checkpoints and logs (
torch.save,torch.load,open). - Sanitization: Not present; the skill focuses on schema and gradient validation rather than sanitizing data for potential prompt injection patterns.
Audit Metadata