openai/openai-node

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https://github.com/openai/openai-node · scanned 2026-05-24 01:20 UTC (1 week, 5 days ago) · 10 languages

1400 findings (66 legacy + 1334 scanner) 90th percentile · Typescript · large (100-500K LoC) Scanner says 67 (higher by 19)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week, 5 days ago · v7 · 257 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

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Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	85.0	0.15	12.75
`security_score`	96.0	0.25	24.00
`testing_score`	100.0	0.20	20.00
`documentation_score`	89.0	0.15	13.35
`practices_score`	69.0	0.15	10.35
`code_quality`	50.7	0.10	5.07
Overall		1.00	85.5

Severity distribution — click a segment to filter

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Severity: Critical 2 High 40 Medium 7 Low 174 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 66 9-layer 191 Crowd 0 Layer: Security 2 Quality 76 Software 58 Frontend 60 Cicd 5 Api 56

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Bug-class explainers. Each card groups findings of the same shape — these are the patterns most likely to ship to prod and reappear in future scans unless you systematically fix the cause, not just the instance.

Fragile runtime 58 findings

What it is: Code that runs but breaks under predictable input — division by zero, missing keys, unbounded loops, off-by-one slicing.

Why it matters: Reaches production undetected because happy-path tests pass. First user with a weird input crashes the request.

How AI causes it: AI loves writing the happy path; doesn't probe edge cases unless explicitly asked.

Fix approach: Add property-based tests. Wrap external inputs with explicit validators. Use the framework's typed deserializer (Pydantic, attrs).

12 matching findings on this repo

medium [ERR002] Empty Catch Block: Empty catch blocks hide errors. src/_vendor/partial-json-parser/parser.ts:209
low Duplicated implementation block across source files src/resources/admin/organization/projects/users/i…:1
low Duplicated implementation block across source files src/resources/admin/organization/projects/groups/…:46
low Duplicated implementation block across source files src/resources/admin/organization/projects/groups/…:10
low Duplicated implementation block across source files src/resources/admin/organization/projects/groups/…:2
low Duplicated implementation block across source files src/resources/admin/organization/projects/certifi…:69
low Duplicated implementation block across source files src/resources/admin/organization/organization.ts:234
low Duplicated implementation block across source files src/realtime/ws.ts:39
low Duplicated implementation block across source files src/realtime/ws.ts:4
low Duplicated implementation block across source files src/realtime/websocket.ts:6
low Duplicated implementation block across source files src/realtime/internal-base.ts:14
low Duplicated implementation block across source files src/lib/responses/ResponseStream.ts:246

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Commented-out code 8 findings

What it is: Lines of source that were intentionally disabled but never deleted.

Why it matters: Git already remembers history — commented code rots, becomes wrong, and adds noise to diffs.

How AI causes it: AI sometimes comments out broken code instead of fixing it. Reviewers approve out of inertia.

Fix approach: Delete. Trust `git log`. If you really need to remember, save it in a notes file under `docs/`.

8 matching findings on this repo

info Commented-code block (5 lines) in tests/qs/utils.test.ts:10
info Commented-code block (32 lines) in tests/qs/stringify.test.ts:70
info Commented-code block (6 lines) in ecosystem-tests/cli.ts:100
info Commented-code block (7 lines) in examples/stream-to-client-raw.ts:21
info Commented-code block (6 lines) in examples/stream-to-client-next.ts:17
info Commented-code block (6 lines) in examples/stream-to-client-express.ts:21
info Commented-code block (5 lines) in src/lib/jsonschema.ts:4
info Commented-code block (6 lines) in src/lib/EventStream.ts:206

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Config drift 1 finding

What it is: Settings duplicated across env files, Docker compose, K8s, and code defaults, all with slightly different values.

Why it matters: Production behaviour depends on whichever copy your loader reads first. Subtle bugs in staging that don't reproduce in dev.

How AI causes it: AI writes new config from memory rather than reading the existing source.

Fix approach: Pick one source of truth (env vars + a settings module). Have every other place import from there. Lint for duplicates in CI.

1 matching finding on this repo

low File has no detected symbols: jest.config.ts

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