Conciseness

The pipeline commands and ffmpeg gotchas (e.g. "-frames:v 1 is required", "scale=768:trunc(ow/a/2)*2") are non-obvious and earn their place, but the sheet-vs-split legibility rationale is repeated across at least four sections (intro, Step 5d, Step 6, Token Budget/Risks) and the cost tables hardcode time-sensitive pricing ("Sonnet 4.6, $3/M"), which the rubric flags as a conciseness penalty. This fits 'mostly efficient but could be tightened' better than 'minor instances of over-explanation'.

Actionability

Every stage has copy-paste-ready bash (probe, keyframe extraction, uniform fill, montage, OCR loop, audio extraction), exact verbatim bail messages, complete analysis-prompt templates for both delivery modes, and an exact output schema — covering the common cases fully with executable code throughout.

Workflow Clarity

Steps 1–9 are explicitly sequenced with validation checkpoints throughout: tool detection before any work, ffprobe metadata before frame work, ordered bail gates in Step 3, a webm keyframe fallback, and a genuine feedback loop in Step 4 ("Wait for explicit confirmation. If the user does not confirm, fall back to N=16"). The destructive/batch cap does not apply to this read-only analysis pipeline.

Progressive Disclosure

There are no bundle files at all (no references/, scripts/, or assets/), so everything lives in a ~470-line SKILL.md. Section structure is good with clear headers, decision tables, and a step sequence, but the ~40-line Token Budget cost tables and the Risks and Mitigations table are candidates to offload into a reference file for a leaner core — minor organization gaps rather than the well-signaled one-level-deep reference structure of the top anchor.

Specificity

The description enumerates concrete actions (ffmpeg keyframe extraction, optional OCR, optional transcription) and concrete outputs ("extracting errors, UI state, and repro steps") with no meaningful coverage gap, matching the comprehensive-coverage anchor rather than the 'minor gaps' anchor below it.

Completeness

It clearly answers both 'what' ("Analyses a video… extracting errors, UI state, and repro steps") and 'when' with an explicit trigger clause ("Triggers on…"), matching the anchor requiring concrete trigger phrases; the cap for missing trigger guidance does not apply.

Trigger Term Quality

Triggers include both spellings ("analyse this video", "analyze this recording") and a natural question form ("what does this video show"), but common natural terms for its primary use case are missing — e.g. "screen recording" (which the description itself names as the typical input), "bug recording", or "what's happening in this video" — so coverage is good rather than comprehensive.

Distinctiveness Conflict Risk

The niche is distinct — bug screen-recording analysis from a file, URL, or Linear ticket — and the trigger phrases are unambiguously video-specific, so overlap with other skills is minimal.