lit-deregister

lit-deregister is a Writing style & humanising skill for AI agents, published by bionoob7 in the nlr-workflow repository on GitHub. Skillspace rates lit-deregister D (66/100) and it passed the safety scan; the rating is based on static analysis only.

Removes AI writing fingerprints from academic manuscript drafts. Scans the text for four categories of AI register problems — antithesis constructions ("not X but Y"), editorializing adjectives ("striking", "remarkable", "unprecedented", etc.), repetitive structural refrains, and systematic-review language in a narrative review (paper counts like "89 studies in this corpus", exhaustive-corpus assertions like "none of the 280 reviewed studies", and meta-sentences like "this review synthesizes 280 studies") — then rewrites only the excess instances to bring counts within target thresholds. Produces the revised manuscript plus a before/after change table. Use this skill after factual verification and before any final style polish, or any time a manuscript reads as AI-generated or as a systematic review when it should be a narrative review. Works on any markdown manuscript regardless of domain. Invoke with /lit-deregister.

Grade

D

Quality

66 / 100

Safety

Passed

GitHub stars

34

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