ai-for-science-ascend-tf-community

Pass

Audited by Gen Agent Trust Hub on Mar 28, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides documentation and validation scripts for migrating scientific AI models to specific hardware acceleration platforms. The instructions are transparent and follow industry-standard build processes for specialized environments.
  • [EXTERNAL_DOWNLOADS]: The skill fetches necessary build tools, source code, and binary plugins from official and well-known repositories, including Huawei Cloud mirrors, Google's GitHub repository for nsync, and the official TensorFlow GitHub repository. The use of a GitHub mirror (ghfast.top) is documented as a workaround for connectivity issues and is consistent with the skill's target environment.
  • [COMMAND_EXECUTION]: Instructions include standard software development operations such as system environment checks (npu-smi), dependency management (pip, conda), and source code compilation using Bazel. These operations are directly related to the skill's primary purpose of setting up a deep learning environment.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 28, 2026, 02:16 AM
Security Audit — agent-trust-hub — ai-for-science-ascend-tf-community