ai-writing-detox

ai-writing-detox is a skill for Claude Code from ur-grue/autopunk-media-skills. It costs 69 tokens per session (3,820 once invoked), scanned A, original, MIT.

A rewriting and rule-setting tool for removing recognizable AI writing habits from drafts.

In plain words
What is it for?
Use it to revise articles, show notes, newsletters, READMEs, or internal drafts, and to support an AI-writing detector hook.
Why use it?
It replaces buzzwords, padded openings, and repeated formulaic phrasing with copy suited to publication, while supplying a banned-word list for draft checks.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the autopunk-media-skills plugin — 187 skills shipped together

Good fit Use it to revise articles, show notes, newsletters, READMEs, or internal drafts, and to support an AI-writing detector hook.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ur-grue/autopunk-media-skills/ai-writing-detox
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ur-grue/autopunk-media-skills --skill ai-writing-detox
Clone the repo
git clone --depth 1 https://github.com/ur-grue/autopunk-media-skills

Made for: Claude Code.

Or install autopunk-media-skills, the plugin that ships this one along with the rest of its 187 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ai-writing-detox

README.md
[![agentmods](https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/ai-writing-detox/github.svg)](https://agentmods.dev/skills/ur-grue/autopunk-media-skills/ai-writing-detox)
Your own site
<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/ai-writing-detox"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/ai-writing-detox/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ai-writing-detox

Your own site · 80×15
<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/ai-writing-detox"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/ai-writing-detox.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,820 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00069 $0.03820
Opus 5 $0.00034 $0.01910
Sonnet 5 $0.00014 $0.00764
Haiku 4.5 $0.00007 $0.00382

Measured 12d ago against content hash ed65f74937fc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ai-writing-detox scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/editing/ai-writing-detox/SKILL.md · 201 lines

How it starts

The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Writing Detox

What This Skill Does

Rewrites AI-flavoured copy into a publishable register by stripping the language tells of an LLM draft — buzzwords, throat-clearing, false-inclusive openers, and the "not just X — Y" rhetorical tic — and supplies the canonical banned-list that runtime hooks read to flag drafts before they ship.

When To Use This Skill

  • A reporter or producer suspects an LLM drafted (or heavily assisted) the copy and wants a clean rewrite
  • A subeditor is reviewing a piece that reads "fluently bland" — grammatically correct, recognisably synthetic
  • Before posting any external surface (article, show notes, newsletter, README) where the audience is media professionals who notice these tells
  • When onboarding a new contributor whose first drafts default to AI register
  • As the source of truth for the ai-slop-detector runtime hook (see Hook Contract below)

What You Need To Provide

Required: The draft text you want detoxed. Optional: Outlet or surface (news article, show notes, internal memo, README), audience register (general public, working journalists, investor-facing), any preserved terms (e.g., a term that looks like jargon but has been defined earlier in the piece), word-count constraint if the rewrite must hit a length.

How the Assistant Approaches This

  1. Reads the full draft and identifies every hit against the Hard ban list — these are non-negotiable rewrites.
  2. Reads it again for Soft warn patterns — surfaces them with one-line reasons; the editor decides whether to keep, soften, or cut.
  3. Produces a rewritten draft that preserves every load-bearing fact and quote, swaps banned vocabulary for the plainest accurate alternative, and dismantles "not just X — Y" / "it's not about X, it's about Y" constructions into direct claims.
  4. Returns a short before/after table for the most consequential changes so the writer can learn the pattern, not just take the rewrite.

Output Format

  • A clean rewritten draft as the headline deliverable, ready to drop in.
  • A Changes table (3–8 rows): original phrase → replacement → which lens motivated the cut (Plain-language default, Cut the meta, Honest hedging, Concrete over abstract, Reader respect).
  • A Soft-warn flags list for items that were left in but the editor should review.
  • Tone is direct and practical — written for an editor who will sign off the final cut.
  • Length scales with the input. The rewrite is at most the length of the original; usually shorter once the buzzwords come out.

Read the full file on GitHub · 201 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 201 lines · 69 tokens per session scan A ed65f74937fc

Subscribe to this mod's changes

ai-writing-detox is a skill published in the GitHub repository ur-grue/autopunk-media-skills (32 stars, last pushed 12d ago), licensed MIT. It adds 69 tokens to every session and 3,820 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

zero-slop

Edit drafts into natural prose, inspect AI-sounding patterns, or review how a specified audience might respond passage by passage. Zero Slop runs inside the user's existing AI assistant with local tools that protect source details. Use for humanizing or de-slopping writing, polishing outward-facing prose, social…

manavmishra/ZeroSlop · 91 tokens

clarity-and-concision

Teaches techniques for achieving relentless clarity and ruthless concision in business writing, including the 20-word sentence rule, concrete detail over abstraction, word economy tactics, and the reader's perspective test. Features extensive before/after examples demonstrating how bloated corporate prose can be cut…

fatihguner/foreman · 98 tokens

voice-update

Update context/voice-and-style.md or context/about-me.md from one of three sources. Manual (user dictates a single new rule, sample, or career fact). Memory (batch pull from Claude Code's auto-memory in /.claude/projects/ /memory/). Sent-mail (analyze the last 20-50 sent Gmail messages and propose updates from…

kalyvask/winning-writing · 169 tokens

yourself-story

Drafts and critiques bios, LinkedIn About sections, intro slides, "tell me about yourself" interview answers, and personal-essay openers using Adam Bryant's 500-CEO research and Lauren Weinstein's warmth+competence frame. Different from pitch-coach (which is product-shaped) and cold-email-coach (which is…

kalyvask/winning-writing · 167 tokens

compression

Cuts a draft to a target word count without losing substance. Two modes behind one skill. target-count hits a specific number (200 for a cold email, 500 for an op-ed, 6 for a product summary). redundancy catches the specific failure where a phrase says what the verb or context already implied — "going forward" after a…

kalyvask/winning-writing · 184 tokens

style-tells

Scrubs the three surface tells that make prose feel AI-generated, padded, or jargon-heavy. Three targets behind one skill, picked via the --target arg. em-dashes (default off in cold email / memo / Slack, max one per page in op-eds), adverbs (the -ly and intensifier pile), jargon (the Silicon Valley / consultant…

kalyvask/winning-writing · 173 tokens