physical-ai-defect-image-generation
What this skill does
Defect image generation for PCBA, metal surface, and glass inspection using NVIDIA Cosmos AnomalyGen. It includes workflows for Day 0 (cold-start with USD-to-ROI, image-edit augmentation, and AnomalyG
github/nvidia - Data Exfiltration - 2.8k stars
Threat analysis
Skill info
pkg:github/NVIDIA/skills@a9ea6f9?skill=physical-ai-defect-image-generationAssessments (1)
Data Exfiltration
Data Exfiltration via local-llm-review
references/setup.md
curl -sI -H "Authorization: Bearer $HF_TOKEN" \Badge
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How Anomity governs this at runtime
Scan-time vetting tells you what a skill says it will do. Anomity's Endpoint Sensor sees what agents actually do: it discovers skills alongside every other AI artifact on the endpoint, and runtime governance can allow, deny, or log the tool calls a skill triggers. Policy violations route to your SIEM, Slack, email, or Jira, backed by a queryable 90-day audit trail.
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Methodology and disputes
Every skill is assessed by the Anomity Skill Intelligence engine against its public source; findings indicate risk patterns, not confirmed exploitation. Maintainer of physical-ai-defect-image-generation? Report an issue or request a rescan.
