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Skill scan report

tao-run-on-local-docker

View on GitHub
10 Low Automated analysis flagged 1 potential risk pattern.

What this skill does

A platform skill for running TAO SDK jobs on local or remote Docker daemons with NVIDIA GPU support. It is intended for development, debugging, and small-scale execution of AI/ML workloads.

github/nvidia - Privilege Escalation - 2.8k stars

ThreatsPrivilege Escalation

Threat analysis

Privilege Escalation1 finding

Skill info

Namenvidia/tao-run-on-local-docker
Registrygithub
Versiona9ea6f9
PURLpkg:github/NVIDIA/skills@a9ea6f9?skill=tao-run-on-local-docker
Stars2.8k

Assessments (1)

Privilege Escalation1 finding MEDIUM
MEDIUM

Privilege Escalation via local-llm-review

references/skill_info.yaml

docker_host: unix:///var/run/docker.sock

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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 tao-run-on-local-docker? Report an issue or request a rescan.

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