# Tao Route Visual Changenet Samples

> Routes the weakest VCN samples (output of tao-analyze-gaps-visual-changenet) into per-augmentation-module subsets based on each module's label eligibility. Use when the user asks to "route VCN gap samples", "split AOI gaps for k-NN mining and AnomalyGen", or prepare the immediate next step after DEFT gap analysis in a VCN AOI SDA iteration.

## Facts
- Page: https://tashan.sh/capability/skill-nvidia-tao-route-visual-changenet-samples
- tashan id: skill:NVIDIA/tao-route-visual-changenet-samples
- Source: https://github.com/NVIDIA/skills
- Type: skill
- Category: ai
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 96.0
- Freshness: 92.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: Apache-2.0
- Official: no

## Install

```sh
cp -r tao-route-visual-changenet-samples ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

---
Measured 2026-08-20 by tashan (https://tashan.sh) from public evidence. Scorer s5.