editorial-qa

editorial-qa is a Copy editing & proofreading skill for AI agents, published by rampstackco in the claude-skills repository on GitHub. Skillspace rates editorial-qa D (69/100) and it passed the safety scan; the rating is based on static analysis only.

Pre-publish QA framework for content. Brief adherence, voice consistency, fact accuracy, structure and clarity, AI-content audit, SEO and AEO compliance, internal linking and schema validation, QA at scale via sampling, the QA workflow, and the discipline that distinguishes catch-problems QA from checkbox QA. Triggers on editorial QA, content review, pre-publish review, content audit, content QA process, AI-content audit, hallucination check, content sampling, programmatic QA, voice consistency check, brief adherence check. Also triggers when a content team is shipping sloppy work, when AI-co-authored content is reaching publish unaudited, when a QA process burns reviewers out, or when a programmatic SEO set needs sampling discipline. On a voice consistency check, this skill owns checking a draft against an existing voice system at the publish gate; use `brand-voice` when the voice system itself needs defining or documenting.

Grade

D

Quality

69 / 100

Safety

Passed

GitHub stars

857

Unproven: rated by static analysis only, not yet compared head-to-head.

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