Conciseness

There is no generic-concept padding — every statement is project-specific policy — but the core "Stage 1 alone is incomplete / Native AI is the default" contract is repeated across at least five sections (lines 18, 22, 93, 136, 147), and several operating-contract bullets (e.g., the unfamiliar-token and name-roster bullets) are dense multi-clause run-ons. This fits anchor 3's "mostly efficient but could be tightened" better than anchor 4's "minor instances that could be trimmed".

Actionability

Copy-paste-ready commands cover the common cases: `uv run scripts/fix_transcription.py --init`, single- and multi-domain Stage 1 invocations with flags, `--dry-run`, `--scan-traps`, and a canonical caller call, plus a fully specified Stage 1 JSON output contract with per-field semantics. This matches anchor 5's fully executable, common-case-covering guidance.

Workflow Clarity

The Native correction checklist gives a clear numbered 1–6 sequence with explicit validation gates ("require zero pending for final/high-quality claims", "exact-file `stats.pending_total == 0`", read-back of edits) and feedback loops for error recovery (cold review, queue adjudication, evidence escalation). Batch/destructive-adjacent operations do have validation, so the workflow-clarity cap does not apply; this matches anchor 5.

Progressive Disclosure

The body is an overview that splits detail into one-level-deep reference files, all of which exist in references/ (including the deep-linked anchor sections, which were verified), navigable via three well-labeled tables (Choose the route, Conditional actions, Reference map). No bulk reference content is inlined and no nested-reference chains block navigation, matching anchor 5.

Specificity

Names the domain and several concrete capabilities ("homophones, garbled terms, person-name errors, mixed Chinese/English — with dictionary rules plus Claude's built-in AI"), matching anchor 4's several specific actions with minor gaps; it stops short of anchor 5's comprehensive coverage since body-level actions like number repair, timestamp fixing, and batch processing are absent.

Completeness

Explicitly answers both what ("Corrects ASR/STT transcription errors — homophones, garbled terms, person-name errors, mixed Chinese/English") and when ("Use to clean meeting notes, lecture transcripts, interviews or speech-recognition text, even when the user only says 'fix this transcript'") with concrete trigger phrases, matching anchor 5; it is not anchor 4 because the when-clause is fully explicit, not merely present.

Trigger Term Quality

Strong natural phrases users would say — "meeting notes, lecture transcripts, interviews or speech-recognition text, even when the user only says 'fix this transcript'" — plus the technical terms ASR/STT. A few natural synonyms (captions, subtitles, dictation) are missing, so it fits anchor 4 rather than anchor 5's comprehensive synonym coverage.

Distinctiveness Conflict Risk

Clear ASR/transcript-correction niche with distinct triggers and an explicit disambiguation boundary ("Not for structuring a clean transcript into minutes (use meeting-minutes-taker)"), giving minimal conflict risk — anchor 5. It exceeds anchor 4 because overlap risk is addressed proactively, not just reduced.