soundshuman

humanizer-stack is an open-source writing-humanization toolkit packaged as Claude Code Skills. Its two-pass pipeline first scans and revises surface-level tells such as hype vocabulary, em-dash overuse, formulaic phrasing, antithesis, vague attribution, inflated symbolism, and redundant exposition; a second structural pass audits discourse-level patterns grounded in the StoryScope study. The structural audits cover theme explicitness, structural tidiness, emotional framing, reference specificity, reader engagement, and shape convergence, with deterministic Python scanners for mechanical copy and structural tells. The repository includes the skills, reference materials, genre-specific guidance, and documentation describing how the passes are chained.

Markdown-based agent skill that rewrites AI-sounding text to read human-written without changing what it says — works with any agent that supports skills. Rewrites against the 35 patterns from Wikipedia's 'Signs of AI writing' (WikiProject AI Cleanup): a first pass free to restructure, then a check of the draft against those patterns and the original claims before rewriting what still sounds artificial. Its rules bar invented facts — names, numbers, dates and quotes must come from the source or the writer — and preserve a writer's personal style (or follow a provided sample). The skill shows its work: the first rewrite and a critique of what still sounds artificial precede the final version.

SlopMonster is a Python linter for detecting formulaic or suspicious AI-generated writing in HTML pages, Markdown, plain text, landing pages, READMEs, emails, and scripts. Its scorer checks AI-associated vocabulary, sentence constructions, punctuation cadence, rule-of-three rhythms, and unsupported sales claims, assigns a score out of 5, and can fail a build when copy scores below 5/5. Its workflow scores the draft, performs a three-pass rewrite that removes suspect vocabulary and sentence shapes and replaces them with specific copy, sends the draft to a different model family for cleansing, and scores the result again. The cleansing script can use a Codex or Claude CLI, refuses to route a draft back to its own model family, and prints a prompt when no supported rival CLI is available. A GitHub Actions workflow is included as a reusable build gate; the scorer itself uses only Python's standard library, while the cleansing step requires an external AI CLI or manual prompt handling. The repository also includes regression tests, a catalogue of detection rules, rewrite principles, and worked before-and-after examples. It is distributed under the MIT license and can also be installed as an agent skill for Claude Code or used by other agents through its plain-Markdown instructions.

A local command-line reference and checker for common signs of machine-written prose. It provides before-and-after examples, draft scanning, searchable patterns, and an editing guide.

No AI Slop is an AI-writing editing skill that removes more than 20 canned machine-writing patterns while preserving the author's vocabulary, cadence, humor, and imperfections. Its rules target binary contrasts, throat-clearing openers, faux-insight setups, colon reveals, dramatic fragments, superficial analysis, importance puffery, weasel attribution, synonym cycling, and fake-profound endings; they also cover active voice, leading with the point, untangling difficult sentences, and preferring concrete details over abstractions. The skill supports editing text, detecting and quoting suspected patterns without judging whether AI produced the writing, and generating deliberately exaggerated AI writing for satire. It can be invoked as `/no-ai-slop` in ChatGPT, Claude Code, Codex, or another coding agent, and is distributed through the Skills package manager or an npx command. The repository contains the editing rules in SKILL.md, evaluation checks in eval.md, ChatGPT and Codex plugin metadata, and a plugin build script; it is licensed under MIT.