The proof-of-commitment API reveals a crucial insight about npm security through axios's profile:

{ "name" : "axios" , "score" : 86 , "riskFlags" : [ "CRITICAL" ], "maintainers" : 1 , "weeklyDownloads" : 81672752 }

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A score of 86/100 indicates excellent package health. Yet it simultaneously triggers a CRITICAL flag. These aren't contradictory. They're the most important thing the score reveals: quality and structural risk are orthogonal.

The Core Problem

The CRITICAL detection logic is elegantly simple:

if ( maintainerCount === 1 && weeklyDownloads > 10 _000_000 ) riskFlags . push ( " CRITICAL " );

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No machine learning. No behavioral analysis. Just one conditional identifying single points of failure at scale.

Why Quality Doesn't Equal Safety

The ua-parser-js incident (October 2021) established the template. Faisal Salman was the sole maintainer whose credentials were compromised.…