Conciseness

Every line carries skill-specific knowledge Claude does not already have (canonicalization rules, alias guards), but there is real duplication: the `--pronunciations` flag and brand-rules.json format are described in full in both the Contract section and "Brand names and confirmed pronunciations" ("A missing file is an ERROR (exit 3)" appears twice), and the "Why this exists" narrative repeats the "human-vetted" spoken as "human witted" example already in the description and failure table. This fits 'Mostly efficient but includes some unnecessary explanation or could be tightened' rather than 4, where over-explanation would be only minor.

Actionability

The contract gives a copy-paste-ready command with flags and output paths, and the exit-code contract maps each outcome to a concrete action ("exit 2 → FAIL — do NOT pin it. Read the report, fix, re-run"). The failure table maps exact report lines to root causes and fixes, and a runnable test command is included — fully executable guidance covering common cases.

Workflow Clarity

The sequence is explicit and ordered (persist "the exact approved spoken lines ... to working/approved-script.txt" before render, run after the master render exists and before pinning), with "Re-run after every fix / re-roll until it PASSES" as an explicit feedback loop and a per-exit-code recovery path. This matches the 5 anchor: clear sequence, explicit validation steps, and error-recovery guidance via the failure table.

Progressive Disclosure

Good section structure with the heavy implementation correctly split into `scripts/review_render.py` (which exists in the bundle) one level deep, and cross-skill references (create-vo-elevenlabs, seedance failure modes) clearly named. It falls short of 5 because the canonicalization/failure tables could live in a reference file, and the referenced "tests/test_review_render.py" does not exist in this skill's bundle — minor organization gaps per the 4 anchor.

Specificity

The description lists multiple concrete actions — "Transcribes the finished render's AUDIO with Whisper and word-diffs it against the approved spoken script, then gates pinning the final render" — and comprehensively enumerates both failure modes ("mis-voices a word", "says a different number or brand name", "flips a negation", "drops an approved phrase, or comes back silent") and pass conditions. This matches the anchor 'Lists multiple specific concrete actions; comprehensive coverage'; nothing vague remains.

Completeness

Both questions are answered explicitly: the 'what' is fully detailed (transcribe, word-diff, gate) and the 'when' is a concrete trigger — "Every ugc-video-formats recipe runs this after render and BEFORE pinning the final render", plus "Mandatory pre-publish review gate". This is the 5 anchor ('clearly and explicitly answers both what AND when with concrete trigger phrases'), not 4, since the when is specific rather than generic.

Trigger Term Quality

Natural keywords are well covered ("review gate", "pre-publish", "UGC video render", "audio", "Whisper", "script", "publish"), fitting 'Good keyword coverage; a few natural terms missing'. It falls short of the 5 anchor because several triggers are internal tool names a user would never say ("video_project_upsert patch.final_render_id", "content-goose's review-transcript-integrity atom") and common synonyms like "QC" or "check the audio" are absent.

Distinctiveness Conflict Risk

A clear niche — an audio-transcript-vs-script publish gate for UGC video renders — with distinct triggers and explicit positioning against the broader engine ("Runnable, gating counterpart to content-goose's review-transcript-integrity atom"). Minimal conflict risk with any other skill; matches the 5 anchor 'Clear niche with distinct triggers'.