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Skill scan report

tao-train-fast-foundation-stereo

View on GitHub
35 Medium Automated analysis flagged 2 potential risk patterns.

What this skill does

AI model training and deployment for real-time stereo depth estimation using FastFoundationStereo (FFS).

github/nvidia - Privilege Escalation - 2.8k stars

ThreatsPrivilege Escalation Information Exposure

Threat analysis

Privilege Escalation1 finding
Information Exposure1 finding

Skill info

Namenvidia/tao-train-fast-foundation-stereo
Registrygithub
Versiona9ea6f9
PURLpkg:github/NVIDIA/skills@a9ea6f9?skill=tao-train-fast-foundation-stereo
Stars2.8k

Assessments (2)

Privilege Escalation1 finding HIGH
HIGH

Privilege Escalation via local-llm-review

references/setup-and-run.md

The Docker commands in the deploy workflow use `--gpus all` and mount host directories (`-v /path/to/specs:/specs`, `-v /path/to/export:/models`, etc.). This could allow an attacker to exploit the con
Information Exposure1 finding MEDIUM
MEDIUM

Information Exposure via local-llm-review

references/setup-and-run.md

The YAML configuration file includes parameters like `max_disparity`, `volume_dim`, and `mixed_precision`, which could be misconfigured to expose sensitive information or allow unintended behavior if 

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How Anomity governs this at runtime

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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 tao-train-fast-foundation-stereo? Report an issue or request a rescan.

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