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Runs parallel prose and craft review agents against a voice profile.
Passed 14 of 18 test cases with the skill, and 3 of 18 without it.
and 16 more in the full report
14 fixed3 passed either way4 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
Show the terminal command used to launch a standalone review on articles/tech.md using profile 'developer' and register 'informal'.
| Checked | Without skill | With skill |
|---|---|---|
| Formulates invocation as /voice-review articles/tech.md --profile developer --register informal. | Missed | Passed |
The instructions your model reads when the skill loads.
Dispatch dual review agents and present unified findings.
scribe:voice-generate)scribe:slop-detector)Two agents run in parallel on the generated text:
Hard failures (banned phrases, em dashes) are auto-fixed. Everything else returns as advisory tables for user decision.
voice-review:text-loaded - Generated text readvoice-review:register-loaded - Voice register loadedvoice-review:agents-dispatched - Both reviewers launchedvoice-review:hard-fails-fixed - Auto-corrections appliedvoice-review:advisories-presented - Tables shown to uservoice-review:findings-verified - Citations confirmed by verifierRead:
Launch both agents in parallel:
test cases passed, vs 3 / 18 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.