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Try these ChatGPT and Codex workflows
Rank drug targets across multiple evidence lanes.
Find vulnerabilities in your code, review the evidence, and decide what needs attention.
Search an authorized repository deeply for plausible vulnerabilities.
Turn dense source material into a clear, reviewable learning report.
Turn reviewed findings into minimal fixes with regression evidence.
Review a pull request or local diff for security regressions.
Turn a public package advisory into a safe repo-audit plan.
Click through real product flows and log what breaks.
Run security scans across repositories and review the findings and coverage.
Combine evidence, tradeoffs, and open questions into one recommendation.
Review scoring patterns without assigning or changing grades.
Turn experiment or launch results into a scale, change, or stop recommendation.
Turn governance context into a review-ready meeting packet.
Review a course as one connected system.
Build a source-linked evidence base for research or proposals.
Use Codex to turn expected behavior into a Promptfoo eval suite.
Try clearing a few filters or searching for a broader term.
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