evaluate-ml-pipeline
Pass
Audited by Gen Agent Trust Hub on May 18, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill implements a robust 'Pre-flight checklist' and 'Stop conditions' that enforce best practices, such as verifying dependencies and ensuring symbols are fetched from authoritative API skills rather than memory.
- [SAFE]: It mandates the use of a dedicated
scratch/directory for any investigation code longer than two lines, which promotes workspace organization and traceability of transient scripts. - [SAFE]: Dependency management is deferred to a specialized
python-env-managerskill, preventing the agent from executing unverified or hardcoded installation commands directly. - [SAFE]: Evaluation logic is restricted to specific directory structures (
experiments/NN_*.py), preventing accidental pollution of the project's data store and ensuring experiments are reproducible. - [SAFE]: The skill requires mandatory user interaction (
AskUserQuestion) for critical decision points like time-series splitter selection, ensuring the user remains in the loop for high-impact configuration changes.
Audit Metadata