Conciseness

The body is lean and assumes competence: no explanation of what Whisper or transcription is, terse numbered rules ('Preserve temporary inputs immediately', 'Force language when known'), and every command block carries new information. The only mild redundancy (the manual template restating the rule-4 flags, and the repeated `cd` line) is justified as a self-contained fallback, so it fits 'every token earns its place' better than the 'minor instances of over-explanation' anchor at 4.

Actionability

Commands are concrete and copy-paste shaped: exact invocations ('uvx --from mlx-whisper mlx_whisper ... --hallucination-silence-threshold 2'), model IDs, output dirs, and a fully executable manual template. It falls short of 5 because the primary fast path depends on './transcribe-audio.py' and './precache-models.py', which are not present in the skill bundle, and the hardcoded absolute path '/Users/mitsuhiko/Development/agent-stuff/skills/audio-transcription' is machine-specific rather than portable.

Workflow Clarity

The sequence is clear (stage a stable copy → ensure the model is cached → run with hallucination-resistant flags → inspect output → rerun/clean up) and the 'Quality checks' section provides an explicit validation checkpoint with concrete red flags ('repeated phrases for many lines', 'avg_logprob is NaN'). It misses 5 because the ordering is partly implicit — the steps live inside the helper script's description rather than as an explicit numbered workflow with fix-and-retry instructions for each red flag.

Progressive Disclosure

A single, well-sectioned file (Core rules, Fast path, Cached models, Manual command template, Quality checks) at a size that justifies keeping everything inline, with the manual template correctly serving as fallback detail. Scored against the actual bundle structure, the minor gap is that the two referenced helper scripts ('./transcribe-audio.py', './precache-models.py') do not exist in the bundle, so the primary path's entry points are dangling references — matching 'good structure, minor organization gaps' rather than a 5.

Specificity

The description names the domain ('Transcribe local audio/video and Apple Voice Memos') and one concrete action with a specific tool ('cached MLX Whisper models'), but stops at transcription — no mention of outputs (txt/srt/vtt/timestamps) or cleanup, so it matches '1-2 concrete actions, not comprehensive'. It is not a 4 because it does not list several distinct actions.

Completeness

The 'what' is clear (transcription with cached local MLX Whisper models, including bad audio), but there is no 'Use when...' clause or equivalent explicit trigger guidance; 'including bad/low-quality audio' describes scope, not when to invoke. Per the rubric guideline, a missing 'Use when' clause caps completeness at 3.

Trigger Term Quality

Natural user terms are present: 'transcribe', 'audio/video', 'Apple Voice Memos', 'bad/low-quality audio'. However common variations users would say — dictation, meeting/lecture recording, mp3/m4a — are absent, matching 'good keyword coverage; a few natural terms missing' rather than the comprehensive synonym-plus-extension coverage of a 5.

Distinctiveness Conflict Risk

The niche is unmistakable — local MLX Whisper transcription of audio/video and Apple Voice Memos — and 'MLX Whisper', 'Voice Memos', and 'bad/low-quality audio' are triggers no other plausible skill would claim. It clearly matches 'clear niche with distinct triggers; minimal conflict risk'.