There's a running joke in python that stdlib is where modules go to die. Stdlib by definition needs to be more dependable and stable than other places. But that reduces the innovation. There's a reason urllib is terrible to use and we're on urllib3 now, yet the nicest solution (requests) is not included.
See http://www.leancrew.com/all-this/2012/04/where-modules-go-to... This applies to some extent to all languages / runtimes.
The trick is avoiding another urllib: shipped as a stdlib, and passed over for libraries with better interfaces.
perl has the idea of core and dual-life modules: when a new version is released, it ships with some additional modules. Some of these modules live in the perl repository & are called 'core modules'. Upgrading them requires a new version of perl to be release. Some of these modules are forked & published to CPAN & are called 'dual-life' modules. Upgrading them requires installing them from CPAN, and new versions of perl can provide a well-tested newer version.
All the modules used to be core-only, and over the years any which weren't heavily tied to the internals of the perl interpreter (like opcode deparsers etc.) have moved to be dual-life instead. This avoids problems like interface issues in the standard library by allowing a new version to be immediately released (with some overhead for developers who need to upgrade it for deployments), be tested in the real world, updated, and then included in the next language release.
I've never done it, but it at least sounds like there's a process where you need to convince 3 or more people that adding your package is a good idea and will not hurt security. That's very different from PyPI or npm.
However, you have to sign everything with pgp including updates and that is verified. You also have to own the domain with same path as your packages - meaning name space is larger and name clashes less likely. They actually check this and won't release unless you host project. Which explains why java open source tend to use packages like com.github.my_account.my_project
It's not a free-for-all like npm, but may be npm can learn a thing or two.
No, they mean that we need a better method than trusting some random popular GitHub / PyPy / npm whatever storage and delivery mechanism.
Strong core language libraries ("batteries included"), that come with your distribution of the language/compiler and are well maintained, used by millions, and signed would be a good start to at least have 80% of dependencies being actually dependable.