cloud-run-sandboxes

cloud-run-sandboxes is a Cloud platforms skill for AI agents, published by SaschaHeyer in the gen-ai-livestream repository on GitHub. Skillspace rates cloud-run-sandboxes F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Use this skill when running untrusted or model-generated code safely on Google Cloud Run, building an AI code interpreter, or letting an agent execute Python it wrote without exposing your service credentials. Covers deploying a Cloud Run service with the sandbox launcher, running code in a sealed sandbox via the sandbox CLI, the deny-by-default network and per-call egress control, credential and metadata isolation, and the ADK CloudRunSandboxCodeExecutor one-liner. Tools and SDKs, gcloud beta run, the /usr/local/gcp/bin/sandbox binary, google-genai, google-adk.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
187

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since.

View source on GitHubSaschaHeyer/gen-ai-livestream

Our review

Architecture
85 / 100
Maturity
Structured: ships references or scripts
Security scan
High-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • executes shell/subprocess
  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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