Extract false-positive and false-negative gaps from VLM binary-classification-question (BCQ, yes/no) predictions. Use when the user asks to "analyze VLM BCQ gaps", "extract VLM false positives and false negatives", or identify failure cases from a predictions JSON for DEFT root-cause analysis on a binary-classification VLM workflow.
安装
npx skills add NVIDIA/skills --skill tao-analyze-gaps-vlm-bcqnpx skills add NVIDIA/skills --skill tao-analyze-gaps-vlm-bcq -a claude-code -gnpx skills add NVIDIA/skills --skill tao-analyze-gaps-vlm-bcq -a codex -ggemini skills install https://github.com/NVIDIA/skills.git --path skills/tao-analyze-gaps-vlm-bcqgh skill install NVIDIA/skills tao-analyze-gaps-vlm-bcqgit clone --depth 1 https://github.com/NVIDIA/skills /tmp/NVIDIA__skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/NVIDIA__skills/skills/tao-analyze-gaps-vlm-bcq ~/.claude/skills/tao-analyze-gaps-vlm-bcq # Claude Code
cp -R /tmp/NVIDIA__skills/skills/tao-analyze-gaps-vlm-bcq ~/.agents/skills/tao-analyze-gaps-vlm-bcq # Codex, Cursor, Gemini CLI, Copilot, OpenCode