Sample Automated Code Health Report with Security FindingsSample Automated Code Health Report with Security Findings
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Code Health Check: a sample report. An automated audit of a made-up demo repository that shows what a real report looks like: 11 findings (2 high, 5 medium, 3 low, 1 info), each with the file, the line and how to fix it, plus a fix-first list. It checks GitHub Actions security (script injection, fork checkouts, token permissions, the 2026 pull_request_target changes), pinned dependencies against published advisories, committed secrets, Python lint and repository hygiene. Built with AI coding tools under my review. Sample report: https://github.com/UniteAndCreateForLife/HAL_SUPREME/blob/main/docs/samples/code-health-check-sample.md
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