# Tao Analyze Gaps Visual Changenet

> Performs gap analysis on NVIDIA TAO VCN Classify (Visual Component Net) experiments by invoking the data-services container (taotoolkit.dataservices from versions.yaml) directly via docker run … gapanalysis vcnaoi … — picks the optimal decision threshold, ranks per-sample weakness, and emits a top-K weakest parquet expanded per-lighting for downstream augmentation. Use when analyzing VCN classification failures, picking SDA augmentation targets, or auditing PASS/NOPASS boundary cases.

## Facts
- Page: https://tashan.sh/capability/skill-nvidia-tao-analyze-gaps-visual-changenet
- tashan id: skill:NVIDIA/tao-analyze-gaps-visual-changenet
- Source: https://github.com/NVIDIA/skills
- Type: skill
- Category: security
- 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-analyze-gaps-visual-changenet ~/.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.

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