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Skill scan report

physical-ai-neural-reconstruction

View on GitHub
14 Low Automated analysis flagged 2 potential risk patterns.

What this skill does

The skill is a router for NVIDIA NuRec/NRE tools, enabling USDZ rendering, NCore conversion, 3DGS, gRPC sensor simulation, and integration with PhysicalAI HF datasets. It is designed for use in AI wor

github/nvidia - Privilege Escalation - 2.8k stars

ThreatsPrivilege Escalation Configuration Risk

Threat analysis

Privilege Escalation1 finding
Configuration Risk1 finding

Skill info

Namenvidia/physical-ai-neural-reconstruction
Registrygithub
Versiona9ea6f9
PURLpkg:github/NVIDIA/skills@a9ea6f9?skill=physical-ai-neural-reconstruction
Stars2.8k

Assessments (2)

Privilege Escalation1 finding MEDIUM
MEDIUM

Privilege Escalation via local-llm-review

SKILL.md

The presence of 'sudo ' in the skill's documentation may indicate a potential for privilege escalation if used improperly. However, it appears to be part of a prose example or instruction, not actual 
Configuration Risk1 finding LOW
LOW

Configuration Risk via local-llm-review

SKILL.md

The metadata includes a reference to an upstream_clone_path using an environment variable `${PHYSICAL_AI_SKILL_HUB_UPSTREAM_ROOT:-$HOME/.physical-ai`. While this is a common practice, it could be a ri

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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-neural-reconstruction? Report an issue or request a rescan.

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