spark-training-gotchas
Pass
Audited by Gen Agent Trust Hub on Jul 14, 2026
Risk Level: SAFECOMMAND_EXECUTIONPROMPT_INJECTIONEXTERNAL_DOWNLOADS
Full Analysis
- [COMMAND_EXECUTION]: The skill provides instructions to execute system-level maintenance commands.
- Evidence:
sync; echo 3 > /proc/sys/vm/drop_cachesinreferences/gotcha-checks.mdfor memory management. - Evidence: High-resource benchmarking script in
references/gotcha-checks.md(G5) that allocates significant GPU memory. - Impact: Writing to
/proc/sys/vm/drop_cachesrequires root privileges and clears the page cache for all system processes. - [PROMPT_INJECTION]: The skill uses the GitHub CLI to read untrusted external issue data, which creates an indirect prompt injection surface.
- Ingestion points:
references/gotcha-checks.mdcallsgh issue list --repo NVIDIA/dgx-spark-playbooks. - Boundary markers: Absent.
- Capability inventory: The agent has shell execution and system diagnostic capabilities.
- Sanitization: None.
- [EXTERNAL_DOWNLOADS]: The skill references official NVIDIA and PyTorch resources for installation and verification.
- Details: References to
nvcr.io/nvidia/pytorchcontainers,download.pytorch.orgwheels, andgithub.com/NVIDIA/dgx-spark-playbooks. - Note: These sources are well-known or trusted and are used for legitimate configuration and troubleshooting.
Audit Metadata