content-quality-lord

content-quality-lord is a skill for Claude Code, Codex from m3taz-ahmed/ai-globals. It costs 48 tokens per session (1,049 once invoked), scanned A, original, MIT.

A writing-quality guide that finds common AI-like wording and edits it out without removing the writer’s personal voice. It can either rewrite a draft or identify the patterns without rewriting.

In plain words
What is it for?
It helps edit drafts for banned words, empty phrases, and other listed style problems, or audit a passage by naming each pattern and suggesting a fix.
Why use it?
It helps make generated or edited writing less repetitive and vague while keeping changes limited to what improves the text.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps edit drafts for banned words, empty phrases, and other listed style problems, or audit a passage by naming each pattern and suggesting a fix.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/m3taz-ahmed/ai-globals/content-quality-lord
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 m3taz-ahmed/ai-globals --skill content-quality-lord
Clone the repo
git clone --depth 1 https://github.com/m3taz-ahmed/ai-globals

Made for: Claude Code, Codex.

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 content-quality-lord

README.md
[![agentmods](https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/content-quality-lord/github.svg)](https://agentmods.dev/skills/m3taz-ahmed/ai-globals/content-quality-lord)
Your own site
<a href="https://agentmods.dev/skills/m3taz-ahmed/ai-globals/content-quality-lord"><img src="https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/content-quality-lord/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 content-quality-lord

Your own site · 80×15
<a href="https://agentmods.dev/skills/m3taz-ahmed/ai-globals/content-quality-lord"><img src="https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/content-quality-lord.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,049 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.
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 $0.00048 $0.01049
Opus 5 $0.00024 $0.00524
Sonnet 5 $0.00010 $0.00210
Haiku 4.5 $0.00005 $0.00105

Measured 12d ago against content hash 95eeebb1f0ce, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

content-quality-lord 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/content-quality-lord/SKILL.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Content Quality Lord

Detect and remove AI slop patterns from writing without flattening personal voice. Two modes:

Edit (default). The user shares a draft to fix. Make the minimum effective edit and return the edited draft plus a What changed section.

Detect. The user asks whether a piece is AI slop, or asks to audit without rewriting. Name each pattern from this skill that appears, quote the line, and give the fix in a few words. Do not rewrite, score, or guess whether AI wrote it. Named patterns are evidence the user can check.

Banned words (remove unless quoted as examples)

delve, foster, leverage, utilize, facilitate, empower, streamline, robust, cutting-edge, paradigm shift, game changer, this is huge, this changes everything, tapestry, realm, beacon, multifaceted, meticulous, intricate, paramount, transformative, elevate, embark, supercharge, harness, ever-evolving.

Often-empty adverbs (cut when they add nothing)

just, literally, honestly, simply, actually, truly, fundamentally, importantly, crucially, inherently, inevitably.

Often-empty phrases (cut when they delay the point)

it's worth noting, it's important to note, at the end of the day, when it comes to, at its core, in today's world, in the age of, in the world of, the reality is, the truth is, in terms of, with regard to, in order to, going forward, in this article, let's dive in.

Patterns to cut

  1. Binary contrasts. "This is not X. It's Y." → State Y directly.
  2. Throat-clearing openers. "Here's the thing," "Let me be clear" → Cut and state the point.
  3. Faux-insight setups. "What most people get wrong," "Here's what nobody tells you" → Make the claim stand alone.
  4. Colon reveals. Noun phrase + colon + lowercase reveal → Rewrite as a plain sentence.
  5. Superficial analysis. Trailing -ing clauses: "highlighting," "underscoring" → Replace with concrete consequence.
  6. Importance puffery. "Stands as a testament," "marks a pivotal moment" → State the fact.
  7. Interpretive metadiscourse. "That last part matters," "The key point is" → Delete or replace with support.
  8. Weasel attribution. "Experts agree," "studies show" → Name the source or cut.
  9. Fake-strong verbs. "Serves as a centralized hub" → "Tracks sponsors, drafts, due dates."
  10. Synonym cycling. Repeating terms for style → Repeat the clear word.
  11. Negative listing. "Not a X. Not a Y. A Z." → Just say Z.
  12. Dramatic fragmentation. "X. And Y. And Z." → Use complete sentences.
  13. Robotic rhythm. Repeated sentence shapes → Vary the shape.
  14. Rhetorical setups. "What if I told you," "Plot twist" → Drop and make the point.
  15. Fake-profound kickers. Final "deep" line → Delete, end on the clearest concrete sentence.
  16. Summary-recap endings. "In conclusion," "Ultimately" → End on the last concrete point.
  17. Formatting slop. Emoji headings, decorative bold, bullets that should be prose → Format follows content.
  18. Em dashes. Not a default rhythm crutch. 0 in short copy, 1-2 max in longer drafts.

Read the full file on GitHub · 76 lines

Files

What ships with it

3 files 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 · 76 lines · 48 tokens per session scan A 95eeebb1f0ce

Subscribe to this mod's changes

content-quality-lord is a skill published in the GitHub repository m3taz-ahmed/ai-globals (5 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 1,049 once invoked, about $0.0002 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 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens