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Tao Analyze Changenet Rca

skill

Performs deep Root Cause Analysis (RCA) on NVIDIA TAO Visual ChangeNet classification experiments with image-evidence-driven investigation. Use when analyzing ChangeNet model failures, investigating poor recall / FAR / PASS-NOPASS metrics, auditing visual inspection pipeline quality, or running an RCA report for an AOI defect-detection model. Trigger phrases include "RCA on my ChangeNet model", "why is my AOI model failing", "audit ChangeNet predictions", "investigate FAR regressions", "root cause analysis on visual-changenet".

Works with: Claude Code (native)  ·  Cursor, Codex CLI (manual)
native: this artifact type is that client's own format

Category: Security — see all ranked ›

Install (Claude Code):

cp -r tao-analyze-changenet-rca ~/.claude/skills/

Security audit

Not scanned yet. We audit npm-published capabilities for known advisories, install-time scripts and permission surface; this one has no npm package we can resolve, or has not reached the queue.

Its own instructions

Its SKILL.md says when to use it and covers setup.

Read from the capability’s own SKILL.md. This is not a grade and does not compare to the instruction-depth verdict on an MCP server — a skill has no tools to document, so that rubric does not apply to it.

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source ↗  ·  skill:NVIDIA/tao-analyze-changenet-rca

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Measured 2026-08-20  ·  scorer s5  ·  how  ·  something wrong here?