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Humanizer vs Stop Slop vs No AI Slop: writing Skills compared

Compare Humanizer, Stop Slop, and No AI Slop by editing workflow, voice preservation, fact checks, and required files.

Source review · 5 October 2026 · Written by Harlan Wilton

Humanizer, Stop Slop, and No AI Slop target repetitive, generated-sounding prose. Their instructions take different approaches: a complete rewrite, strict style rules, or a light edit and audit. Choose based on how much you want changed and how closely you need to preserve facts and voice.

These three lead our 18-Skill discovery sample by GitHub Repository stars. Stars describe Repository popularity, without measuring editing quality. We compared their instructions, without benchmarking generated rewrites.

Humanizer for a complete rewrite

Humanizer makes preservation checks part of the editing workflow. It allows paragraph changes, but treats unsupported additions and lost claims as errors. For factual or technical prose, it asks for neutral, plain language. For personal writing, it preserves uncertainty, humor, and mixed feelings.

Its pasted-text mode shows intermediate work before the final rewrite. If you only want small phrasing changes, No AI Slop's minimum-edit instruction is a closer fit. Read the reviewed Humanizer source before choosing it for a file edit.

Stop Slop for a strict house style

Stop Slop is a compact directive for drafting, editing, and reviewing prose. It targets filler, formulaic structure, vague claims, and repetitive rhythm. Its score covers directness, rhythm, reader trust, authenticity, and density. That score is its own editorial rubric, without a shared benchmark across these Skills.

Its rules require removing all adverbs and passive constructions. Check those constraints against your house style before applying them to a whole document. Read the reviewed Stop Slop source and its linked references.

No AI Slop for a light edit or audit

No AI Slop separates editing from detection. Edit mode keeps distinctive sentences and returns a short explanation of changes. Detect mode quotes the pattern, describes a fix, and leaves the draft unchanged. It explicitly avoids guessing whether AI wrote the text.

Start here when your draft already has a voice you want to keep. Review its banned vocabulary before using it with an established style guide. Its edit workflow also needs the bundled evaluation file.

Run No AI Slop:

npx skilld run petergyang/no-ai-slop/no-ai-slop

A remote run prints instructions. It does not install supporting files. If your Agent needs the evaluation file on disk, inspect the source and install the Skill as an opt-in step.

With skilld 3.3.0, hosted repository-root Skills are rejected. Humanizer and Stop Slop use root paths, so this page links their pinned sources without printing run commands.

How the three Skills differ

On small screens, scroll the table sideways to read every column.

DecisionHumanizer, blader/humanizerStop Slop, hardikpandya/stop-slopNo AI Slop, petergyang/no-ai-slop
Editing workflowMark patterns, draft, check facts and surviving patterns, then write the final version.Apply eight core rules, run quick checks, and revise against its style rubric.Make the minimum effective edit, then check the draft against its evaluation file.
Voice and structureA supplied voice sample overrides pattern rules. Structural changes are allowed.Enforces active voice and strict adverb rules. Its main instructions provide no voice-sample override.Keeps vocabulary, cadence, bluntness, and useful detours. Keeps structure unless it hurts the piece.
Factual meaningExplicitly checks added or lost facts, numbers, quotes, citations, and conditions.Emphasizes specificity. Its main instructions provide no equivalent fact-preservation checklist.Prohibits invented claims, examples, stats, and opinions. Asks when meaning is unclear.
OutputPasted-text mode returns a draft, remaining patterns, and final rewrite. File mode writes only final prose.Its main instructions define checks and a score, without a dedicated findings-only mode.Edit mode returns the draft and changes. Detect mode quotes findings without rewriting or scoring.
Supporting filesThe main instructions contain its pattern guide and examples.Links phrase, structure, and example reference files.Edit mode requires the bundled evaluation file.
Main tradeoffIntermediate output can be lengthy. Structure changes need a careful meaning check.Blanket adverb and passive-voice rules can conflict with deliberate style or technical precision.Some vocabulary is banned outright, while its blunt register still needs to fit the audience.

Two alternatives with a distinct purpose

The wider review found useful options beyond the three starred Repositories. These two address a narrower editing requirement:

anti-slop for preserving paragraph structure

deslop-writing for technical documentation

For other workflows and language-specific choices, browse writing Skills.

Check each candidate on the same draft

Give candidates the same input, audience, and voice sample. Ask each to preserve every fact, condition, number, quote, citation, and link. Ask it to flag missing evidence and return the rewrite with material changes.

Compare each result with the original. Check that conditions and citations survive, no new facts appear, and commands remain intact. Then read it for the intended audience and voice. This is a suggested evaluation method, without a reported test result.

Selection, sources, and disclosure

Reviewed on 5 October 2026 from the pinned sources linked above.

An agent assisted Harlan Wilton with research and drafting. Brundlefly shares a maintainer with skilld and informed the review method, without receiving placement.