June 2026
Deep Contributor Credit Score
Assess contributor trust with hydrated historical PR analysis, CLA status, organization context, and patch-level safety signals.

Superagent now gives security and platform teams a deeper way to understand who is contributing code. Deep Contributor Credit Score analyzes contributor history, repository context, and patch-level evidence to produce an explainable trust signal before a pull request reaches production.
Hydrated contributor history
The score reviews hydrated historical pull requests for the contributor, looking across performance optimization work, cross-repository patterns, internal product features, safety infrastructure, and other high-signal code paths. This gives reviewers more context than the current diff alone can provide.
Explainable trust signals
Each score includes the evidence behind the result: CLA status, last activity, organization alignment, issue linkage, omitted evidence, and confidence levels for patch-level review. Teams can see why a contributor is trusted, suspicious, or needs additional review without reverse-engineering a black-box verdict.
Patch-level safety review
Contributor scoring is combined with patch-level inspection for risky behavior such as credential access, hidden network calls, dependency abuse, permission broadening, or suspicious code paths. The result is a focused review workflow that helps teams distinguish trusted collaboration from changes that need deeper investigation.
