The system continuously monitors new and updated repositories for signs of automated junk or bot-generated activity.
For each repository, it runs a series of tests, calculates individual scores, and produces a final confidence score.
Repositories with scores exceeding the junk threshold are logged in structured reports for further review.
The project targets repositories exhibiting patterns meant to exploit systems like the TEA scheme.
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TRIGGER
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SCAN
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EVAL
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js py rb sh
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AGGREGATE
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REPORT
