Is @ai-sdk/provider-utils safe?

No malicious indicators - review capabilities before installing

Notable — review in context (capabilities are not malware):

Node.js network egress

@ai-sdk/provider-utils is an AI npm_package analyzed by SkillTotal's deterministic static scanner. The scan found no malicious indicators, though 1 risky construct are reported for review. It can: network egress — capabilities are what the code can do, not a verdict on intent. Risk score 0/100 (low).

@ai-sdk/provider-utils 5.0.27

npm_package · npm:@ai-sdk/provider-utils

LOW

/ 100 risk score

Snapshot · scanned Aug 12, 2026 · @ai-sdk/provider-utils@5.0.27 · 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/provider-utils's authors. Report a false positive.

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

network egress

Behavioral traits

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

Network egress

Interaction & Communication / Direct Communication

Findings (1)

MEDIUMNode.js network egressST-NET-NODE

The component makes outbound network requests.

src/fetch-with-validated-redirects.ts:112-112

const response = await fetch(currentUrl, perHopInit('manual'));

src/fetch-with-validated-redirects.ts:121-121

return await fetch(currentUrl, perHopInit('follow'));

src/post-to-api.ts:98-98

const response = await fetch(url, {

src/read-response-with-size-limit.ts:7-7

* `fetch().arrayBuffer()` has ~2x peak memory overhead (undici buffers the

src/safe-node-fetch.ts:162-162

fetch(

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 →