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Skill scan report

tao-run-platform

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

What this skill does

The skill is a legitimate SDK for running TAO jobs on various platforms (Brev, SLURM, Kubernetes, local Docker). It provides job tracking, S3 I/O wrapping, and platform-specific features.

github/nvidia - Configuration Management - 2.8k stars

ThreatsConfiguration Management

Threat analysis

Configuration Management1 finding

Skill info

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

Assessments (1)

Configuration Management1 finding MEDIUM
MEDIUM

Configuration Management via local-llm-review

references/platform-notes.md

The Brev SDK section mentions passing `cloud_cred_id` and `workspace_group_id` to handle multi-credential or multi-workspace accounts. This implies that the SDK may be handling sensitive credentials, 

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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-platform? Report an issue or request a rescan.

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