SkillTotal

Is @ai-sdk/google safe?

No malicious indicators - review capabilities before installing
Notable — review in context (capabilities are not malware):
  • Node.js shell/command execution
  • Node.js network egress

@ai-sdk/google is an AI npm_package analyzed by SkillTotal's deterministic static scanner. The scan found no malicious indicators, though 2 risky constructs are reported for review. It can: network egress and shell execution — capabilities are what the code can do, not a verdict on intent. Risk score 0/100 (low).

@ai-sdk/google 4.0.44

npm_package · npm:@ai-sdk/google
LOW
0
/ 100 risk score
Snapshot · scanned Aug 14, 2026 · @ai-sdk/google@4.0.44 · engine 0.38.1 / ruleset 42

Automated static-analysis result. It can contain false positives and false negatives, and is not a claim about the intent of @ai-sdk/google's authors. Report a false positive.

Capabilities — what this component can do (not a risk score):
network egressshell execution

Behavioral traits

How this component maps to the CSA agentic threat model. Descriptive — it never affects the risk score.

Execution authority
Tool Access Control / Direct Tool Access
Network egress
Interaction & Communication / Direct Communication

Findings (2)

HIGHNode.js shell/command executionST-SHELL-NODE

The component can run operating-system commands or spawn processes.

const match = dataUrlRegex.exec(value);
const match = /rate=(\d+)/.exec(mimeType);

Why it matters: Powerful and often legitimate — confirm the commands aren't built from untrusted input.

Fix: Confirm the command and its arguments are fully controlled and not derived from untrusted input; prefer execFile with an argument array.

MEDIUMNode.js network egressST-NET-NODE

The component makes outbound network requests.

Why it matters: Usually legitimate, but confirm the destinations are expected and no sensitive data leaves.

Fix: Confirm the destination hosts are expected and that no sensitive data is sent off-host.

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How we determine this: deterministic static analysis (regex + AST), evidence-anchored, no code execution. Methodology →