What problem does it solve? AI-generated code and rapid dependency changes can introduce phantom packages, hallucinated versions, typosquatting risks, and undeclared runtime tools that break installs or open supply-chain attack vectors. This Skill systematically checks every dependency claim against the canonical registry before it reaches production. ## Core Features & Use Cases - Registry Verification: Confirms each package and pinned version exists in the correct ecosystem's canonical registry. - Mismatch Detection: Flags import/install name differences, cross-ecosystem confusion, manifest-lockfile drift, and imports missing from manifests. - Slopsquatting Defense: Flags suspicious generic names like *-utils or fast-* that are newly published or low-signal. - Use Case: After an AI assistant adds requests-wrapper==2.1.0 to your requirements.txt, run this review to discover the package does not exist on PyPI and the import actually maps to a different install name. ## Quick Start Review the dependency changes in this pull request and verify every new package and pinned version against its canonical registry.