tao-train-rtdetr
Pass
Audited by Gen Agent Trust Hub on Jun 18, 2026
Risk Level: SAFE
Full Analysis
- [METADATA_POISONING]: The skill frontmatter identifies the author as NVIDIA Corporation, which is consistent with the skill's purpose but differs from the provided author context (promptingcompany).
- [DATA_EXPOSURE_AND_EXFILTRATION]: Telemetry via Weights & Biases (WandB) is enabled by default in the training schemas (e.g., distill.schema.json). WandB is a well-known service for machine learning tracking, and its use here is consistent with standard ML workflows.
- [INDIRECT_PROMPT_INJECTION]: The skill defines ingestion points for external COCO dataset files, which is essential for training.
- Ingestion points: annotations.json and label_map.txt (references/skill_info.yaml).
- Boundary markers: No specific delimiters or instructions to ignore embedded instructions in data are provided.
- Capability inventory: Execution of rtdetr shell commands via TAO Toolkit (references/skill_info.yaml).
- Sanitization: No explicit sanitization for dataset content is documented.
Audit Metadata