modelopt-day0-release
Pass
Audited by Gen Agent Trust Hub on Nov 13, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill implements a robust security posture by delegating complex numeric validation (accuracy comparisons, size ratios, and token counts) to standalone Python scripts rather than relying on LLM reasoning. This reduces the risk of logic errors or manipulation during the decision-making process.
- [COMMAND_EXECUTION]: The skill executes local Python scripts (
gate_ptq.py,gate_run.py,gate_compare.py,gate_verbosity.py) to process structured JSON data. These scripts are self-contained, use only standard libraries, and implement defensive programming practices such as strict type checking for numeric inputs and finite number validation. - [DATA_EXPOSURE]: While the skill interacts with model evaluation data and checkpoint summaries, it does so within the local workspace and authorized cluster environment. There are no patterns suggesting unauthorized data exfiltration or exposure of sensitive credentials.
- [INDIRECT_PROMPT_INJECTION]: The skill processes structured JSON outputs from other model tools. It treats these as data for numeric validation and does not interpolate untrusted text into natural language instructions that could override agent behavior.
- [DYNAMIC_EXECUTION]: Static analysis flagged a dynamic import in
tests/test_gates.py. This is a standard test-runner pattern (__import__("pytest")) used to execute unit tests and does not represent a runtime risk to the agent.
Audit Metadata