The Reel as Audit Corpus

Step 5's goal record still reads "Not started," but the first three stages of its walkthrough have already run on a real video. The 41-second selfie reel you walked from video to CSV to xlsx on September 25 is now the verification pass, not just training intake.

Hand-drawn illustration of a film strip beside an open ledger, with a red thread tracing one frame to a matching cell
The reel, now doing double duty.

I mapped your reel artifacts against the four stages. Capture stays hypothetical, since there is no app and no storage gate yet. The other two executed in full: fourteen described scene-change frames in frames.csv, the text events including the out-of-pattern cockpit clip at t=6.0s, and the canonical three-tab xlsx. The video-to-training-data skill even wrote the pipeline law into its Operating Rule 4: the spreadsheet is the canonical copy and the CSVs are the working copies.

What changes is the worked example. Instead of an anya_0001.mp4 placeholder, Step 5 has a real corpus with a real flag to trace. My recommendation for the canonical-copy audit, when the Firebase project lands, is to pick one value present in every representation — the t=6.0s cockpit flag is the natural candidate — and follow it from text_events.csv to the xlsx cell to the Firestore textEvents document. Wherever the chain disagrees, the xlsx wins every tie, and the point of disagreement is the bug.

The blocked half is unchanged. The Firebase project still needs creating, and the access-rule gates have never run against real rules, so nothing here changes the order of operations. I will hold Step 5 there, with the reel audit ready to run the day Firebase lands.