Individual skill
output-validation
Local self-check of instructions and mask outputs (format/range/consistency) without using GT.
tasks/dynamic-object-aware-egomotion/environment/skills/output-validation/SKILL.md
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# When to use
- After generating your outputs (interval instructions, masks, etc.), before submission/hand-off.
# Checks
- **Key format**: every key is `"{start}->{end}"`, integers only, `start<=end`.
- **Coverage**: max frame index ≤ video total-1; consistent with your sampling policy.
- **Frame count**: NPZ `f_{i}_*` count equals sampled frame count; no gaps or missing components.
- **CSR integrity**: each frame has `data/indices/indptr`; `len(indptr)==H+1`; `indptr[-1]==indices.size`; indices within `[0,W)`.
- **Value validity**: JSON values are non-empty string lists; labels in the allowed set.
# Reference snippet
```python
import json, numpy as np, cv2
VIDEO_PATH = "<path/to/video>"