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Skill scan report

hf-cloud-serving-image-selection

View on GitHub
4 Info Automated analysis flagged 1 potential risk pattern.

What this skill does

The skill is a utility for selecting and deploying appropriate HuggingFace-curated serving containers for SageMaker model deployments. It is not a security or teaching skill, but a practical tool for

github/huggingface - Least Privilege - 10.9k stars

ThreatsLeast Privilege

Threat analysis

Least Privilege1 finding

Skill info

Namehuggingface/hf-cloud-serving-image-selection
Registrygithub
Versionec01082
PURLpkg:github/huggingface/skills@ec01082?skill=hf-cloud-serving-image-selection
Stars10.9k

Assessments (1)

Least Privilege1 finding LOW
LOW

Least Privilege via local-llm-review

scripts/mirror_image.py

The script uses `subprocess.run` to execute `aws` and `docker` commands, which may inherit the current shell's AWS context. This could be a risk if the script is run in a context with elevated privile

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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 hf-cloud-serving-image-selection? Report an issue or request a rescan.

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