parity-testing
Pass
Audited by Gen Agent Trust Hub on Apr 19, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill contains instructional content for developers working on model conversion. No malicious patterns such as prompt injection, data exfiltration, or obfuscation were detected.
- [COMMAND_EXECUTION]: The skill provides documentation on how to use standard command-line tools (e.g.,
uv,torch.distributed.run) to execute local verification scripts located in theexamples/conversion/directory. These commands are intended for local development and debugging workflows. - [DATA_EXPOSURE_AND_EXFILTRATION]: No evidence of sensitive data access or exfiltration. The placeholders used in command examples (e.g.,
<org>/<model>) are standard for identifying public model repositories. - [DYNAMIC_EXECUTION]: Includes Python code snippets for tensor and state-dict comparison. These are static utility functions for numerical verification and do not involve unsafe execution of untrusted code.
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