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.
npx skills add m3taz-ahmed/ai-globals --skill content-quality-lordgit clone --depth 1 https://github.com/m3taz-ahmed/ai-globalsWrote 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.
[](https://agentmods.dev/skills/m3taz-ahmed/ai-globals/content-quality-lord)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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
- Binary contrasts. "This is not X. It's Y." → State Y directly.
- Throat-clearing openers. "Here's the thing," "Let me be clear" → Cut and state the point.
- Faux-insight setups. "What most people get wrong," "Here's what nobody tells you" → Make the claim stand alone.
- Colon reveals. Noun phrase + colon + lowercase reveal → Rewrite as a plain sentence.
- Superficial analysis. Trailing
-ingclauses: "highlighting," "underscoring" → Replace with concrete consequence. - Importance puffery. "Stands as a testament," "marks a pivotal moment" → State the fact.
- Interpretive metadiscourse. "That last part matters," "The key point is" → Delete or replace with support.
- Weasel attribution. "Experts agree," "studies show" → Name the source or cut.
- Fake-strong verbs. "Serves as a centralized hub" → "Tracks sponsors, drafts, due dates."
- Synonym cycling. Repeating terms for style → Repeat the clear word.
- Negative listing. "Not a X. Not a Y. A Z." → Just say Z.
- Dramatic fragmentation. "X. And Y. And Z." → Use complete sentences.
- Robotic rhythm. Repeated sentence shapes → Vary the shape.
- Rhetorical setups. "What if I told you," "Plot twist" → Drop and make the point.
- Fake-profound kickers. Final "deep" line → Delete, end on the clearest concrete sentence.
- Summary-recap endings. "In conclusion," "Ultimately" → End on the last concrete point.
- Formatting slop. Emoji headings, decorative bold, bullets that should be prose → Format follows content.
- Em dashes. Not a default rhythm crutch. 0 in short copy, 1-2 max in longer drafts.
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.
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.
- 12d ago First seen · 76 lines · 48 tokens per session scan A 95eeebb1f0ce
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.
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