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Critique-and-rewrite loop for voice fidelity validation.
Passed 20 of 22 test cases with the skill, and 14 of 22 without it.
and 4 more in the full report
7 fixed13 passed either way1 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
Format the validation summary header for a successful pass on iteration 1 for the 'developer-advocate' voice in 'casual' mode. What fields must appear in the top metadata block?
| Checked | Without skill | With skill |
|---|---|---|
| Includes voice name, mode, scan result status, violation count, and iteration number in the validation report block | Missed | Passed |
The instructions your model reads when the skill loads.
This skill operates a rigorous critique-and-rewrite enforcement loop for voice fidelity. It scans content against voice-specific negative prompt checklists, documents violations with evidence, fixes them while preserving intent, and rescans to confirm the revision passes — up to 3 iterations maximum.
The workflow implements the Iterative Refinement pattern: scan → document violations → revise → rescan. This ensures voice violations are caught systematically and fixed methodically without over-engineering or changing meaning.
CRITICAL CONSTRAINT: Never revise content without first scanning against the full checklist. Every violation must cite a specific quote. After 3 failed iterations, output with flagged concerns rather than continuing indefinitely.
| Signal | Load These Files | Why |
|---|---|---|
| validating narrative content of 500+ words | narrative-patterns.md | Supplies the full narrative-fidelity rubric. |
Goal: Determine the voice, mode, and content to validate.
Step 1: Identify voice target
Step 2: Load content
Gate: Voice target and mode identified. Content loaded. Proceed only when gate passes.
Goal: Run full checklist against content and identify all violations with evidence.
Step 0: Run deterministic stylometry checks
test cases passed, vs 14 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.