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 somnus0x/agt-skill-pack --skill ai-slop-detectiongit clone --depth 1 https://github.com/somnus0x/agt-skill-packWrote 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/somnus0x/agt-skill-pack/ai-slop-detection)<a href="https://agentmods.dev/skills/somnus0x/agt-skill-pack/ai-slop-detection"><img src="https://agentmods.dev/badge/skills/somnus0x/agt-skill-pack/ai-slop-detection/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/somnus0x/agt-skill-pack/ai-slop-detection"><img src="https://agentmods.dev/badge/skills/somnus0x/agt-skill-pack/ai-slop-detection.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 | $0.00052 | $0.01095 |
| Opus 5.5 | $0.00021 | $0.00438 |
| Sonnet 5.5 | $0.00010 | $0.00219 |
| Haiku 4.5 | $0.00005 | $0.00110 |
Grade A, and why
ai-slop-detection 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 1mo 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Slop Detection — Does Your UI Look AI-Generated?
The fingerprint test: if you showed your interface to someone and said "AI made this," would they believe you immediately? If yes, the design has failed.
A distinctive interface makes someone ask "how was this made?" — not "which AI made this."
The Tells
These are the patterns of 2024-2025 AI-generated frontends. Flag ANY of these during review.
The AI Color Palette
- Cyan-on-dark, purple-to-blue gradients, neon accents on dark backgrounds
- Gradient text on headings or metrics — decorative, not meaningful
- Dark mode with glowing accents as default (looks "cool" without requiring actual design decisions)
- Pure black (#000) or pure white (#fff) backgrounds — neither exists in nature; always tint
The AI Layout Template
- Hero metric layout: big number, small label, supporting stats, gradient accent — the "dashboard starter kit"
- Identical card grids: same-sized cards with icon + heading + text, repeated endlessly
- Cards nested inside cards — visual noise, flatten the hierarchy
- Everything centered — left-aligned text with asymmetric layouts feels more designed
- Big rounded icons above every heading — they rarely add value, make sites look templated
- Same spacing everywhere — without rhythm, layouts feel monotonous
The AI Visual Bag of Tricks
- Glassmorphism everywhere — blur effects, glass cards, glow borders used decoratively
- Rounded rectangles with generic drop shadows — safe, forgettable, could be any AI output
- Rounded elements with thick colored border on one side — lazy accent
- Sparklines as decoration — tiny charts that look sophisticated but convey nothing
- Modals for everything — modals are lazy; there's almost always a better pattern
The AI Font Choice
- Inter, Roboto, Arial, Open Sans everywhere — invisible defaults
- Monospace typography as lazy shorthand for "technical/developer" vibes
- Too many sizes too close together (14px, 15px, 16px, 18px) — creates muddy hierarchy
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.
- 1mo ago First seen · 118 lines · 52 tokens per session scan A eea6ee5573ea
ai-slop-detection is a skill published in the GitHub repository somnus0x/agt-skill-pack (74 stars, last pushed 18d ago), licensed Apache-2.0. It adds 52 tokens to every session and 1,095 once invoked, about $0.0002 per session on Opus 5.5. 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.
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