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Skill scan report

azure-kubernetes-app-deploy

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

What this skill does

Deployment automation for Azure Kubernetes Service (AKS), including Dockerfile templates and GitHub Actions workflows for containerized application deployment.

github/microsoft - Secrets Management - 1.4k stars

ThreatsSecrets Management Code Quality

Threat analysis

Secrets Management1 finding
Code Quality1 finding

Skill info

Namemicrosoft/azure-kubernetes-app-deploy
Registrygithub
Version66cd927
PURLpkg:github/microsoft/azure-skills@66cd927?skill=azure-kubernetes-app-deploy
Stars1.4k

Assessments (2)

Secrets Management1 finding HIGH
HIGH

Secrets Management via local-llm-review

templates/github-actions/deploy.yml

The workflow uses OIDC federation with GitHub secrets (AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_SUBSCRIPTION_ID), but the placeholder text in the comments suggests that the workflow may be missing expl
Code Quality1 finding MEDIUM
MEDIUM

Code Quality via local-llm-review

templates/dockerfiles/node.Dockerfile

The Dockerfile contains a placeholder comment indicating that the user should replace `LATEST_STABLE_NODE` with a specific version. This is not a security risk, but it could lead to misconfiguration i

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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 azure-kubernetes-app-deploy? Report an issue or request a rescan.

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