@mui/internal-docs-infra
MUI Infra - internal documentation creation tools.
4
Versions
MIT
License
No
Install Scripts
Missing
Provenance
Supply chain provenance
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No SLSA provenance
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Without SLSA provenance there is no cryptographic link between this tarball and the public source, so a manually published version cannot be tied back to a reviewed commit.
Maintainers
janpotomsmichaldudakmnajdovadiegoandaibrijeshb42siriwatknpmj12albertaarongarciahdav-isoliviertassinari
Keywords
reactreact-componentmaterial-uimaterial designdocs
Accepted risks
Findings the reviewer chose to accept rather than block on.
| Source | Rule | Reason | Accepted by | When |
|---|---|---|---|---|
| phantom-deps | phantom-dep:@babel/runtime | AI (phantom-deps): Framework-scoped runtime dep loaded by convention in compiled output; stable false positive. | ai | |
| semgrep | semgrep:env-spread | AI (semgrep): Used in CLI browser runner to pass env to subprocess with added PLAYWRIGHT_SERVER var — standard pattern for test tooling. | ai | |
| semgrep | semgrep:new-function-constructor | AI (semgrep): Parses page metadata object literals from markdown files; input is doc source files, not user-controlled external data. | ai | |
| phantom-deps | phantom-dep:use-editable | AI (phantom-deps): Loaded via re-export pattern in useCode module; stable false positive for this package. | ai | |
| dependencies | unvetted-dep:path-module | AI (dependencies): Small path utility; appropriate for docs-infra build tooling from trusted MUI publisher. | ai | |
| dependencies | unvetted-dep:uint8-to-base64 | AI (dependencies): Tiny encoding utility consistent with new compression/encoding features; trusted publisher context. | ai | |
| phantom-deps | phantom-dep:vscode-oniguruma | AI (phantom-deps): vscode-oniguruma is a declared dep used by @wooorm/starry-night for syntax highlighting; phantom-dep heuristic false positive for this package. | ai | |
| bogus-package | bogus-package | AI (bogus-package): Internal MUI docs infra package; sparse README and thin entry point are expected for an internal tooling library. | ai |