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false-positives

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AI-detector auditing toolkit: measures how often a detector flags genuine human writing, how stable its verdict is across seeds, and whether that verdict survives meaning-preserving edits. Detector-in-the-loop measurement harness. Claude Code skill + Python CLI. MIT.

  • Updated Sep 13, 2026
  • Python
SecHelix

Most AI security tools try to find more. SecHelix tries to prove itself wrong: every candidate finding goes to an independent verifier whose only job is to disprove it. Open-source AppSec agent for Claude Code, Codex and Copilot.

  • Updated Sep 28, 2026
  • Python

A false-positive corpus for secret scanners: 109 formats of ordinary log and build output containing zero credentials, plus a recall half of 42 formats with 81 planted synthetic credentials and an answer key. Ships as a GitHub Action that gates the build.

  • Updated Sep 12, 2026
  • Python

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