web-ai-slop

web-ai-slop is a skill for Claude Code, Codex from sahilkargutkar/web-ai-slop. It costs 91 tokens per session (10,478 once invoked), scanned A, original, MIT.

A checklist for spotting common, formulaic patterns in web design, writing, interface code, infrastructure settings, and documentation that can make work feel machine-generated.

In plain words
What is it for?
It is for reviewing layouts, visual styles, copy, UI code, configuration, and documentation before delivery, especially when a result should feel deliberate rather than generic.
Why use it?
It helps developers notice when they have copied popular defaults instead of making choices suited to the product, audience, and technical context.

Skill for Claude CodeCodex

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

Good fit It is for reviewing layouts, visual styles, copy, UI code, configuration, and documentation before delivery, especially when a result should feel deliberate rather than generic.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sahilkargutkar/web-ai-slop/web-ai-slop
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 sahilkargutkar/web-ai-slop --skill web-ai-slop
Clone the repo
git clone --depth 1 https://github.com/sahilkargutkar/web-ai-slop

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 web-ai-slop

README.md
[![agentmods](https://agentmods.dev/badge/skills/sahilkargutkar/web-ai-slop/web-ai-slop/github.svg)](https://agentmods.dev/skills/sahilkargutkar/web-ai-slop/web-ai-slop)
Your own site
<a href="https://agentmods.dev/skills/sahilkargutkar/web-ai-slop/web-ai-slop"><img src="https://agentmods.dev/badge/skills/sahilkargutkar/web-ai-slop/web-ai-slop/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 web-ai-slop

Your own site · 80×15
<a href="https://agentmods.dev/skills/sahilkargutkar/web-ai-slop/web-ai-slop"><img src="https://agentmods.dev/badge/skills/sahilkargutkar/web-ai-slop/web-ai-slop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 10,478 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00091 $0.10478
Opus 5 $0.00046 $0.05239
Sonnet 5 $0.00018 $0.02096
Haiku 4.5 $0.00009 $0.01048

Measured 12d ago against content hash e77e1d649567, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

web-ai-slop scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- **Fetching data without error handling** — `fetch(url).then(r => r.json()).then(setData)` with no `.catch()` and no loading/error state.
skills/web-ai-slop/SKILL.md · 507 lines

How it starts

The opening of the file, as written. The whole thing — 507 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Web AI Slop — The Practitioner's Anti-Default Checklist

[!IMPORTANT] Core Philosophy (Mantra): Avoid statistical averages. When generating layouts, styles, or logic, do not default to what is typical or "standard"; make deliberate choices tailored to the specific context, users, and constraints.

A trained filter, not a style guide. This skill exists because language models converge on the same small set of "safe" defaults across every web discipline — not because those defaults are good, but because they are the statistical center of the training data. The job of this skill is to name that center precisely so you can deliberately step away from it.

Rule of application: Draft your output first. Then run it against the relevant sections below. If you match 2 or more items in any single section, you have not made a decision — you have defaulted. Discard the draft and make a specific, justified choice for this product, team, and context.

Apply this filter silently. Do not narrate "I'm checking this against my anti-slop list" to the user.


Section 1 — Visual Design (Web Designer / UI Designer perspective)

These are the patterns a designer with 40 years of craft knowledge would immediately identify as machine output.

1a. Layout and composition defaults

  • Centered hero, headline + subhead + two pill CTA buttons + browser-mockup screenshot below the fold — treated as the only possible layout, applied to every product regardless of what that product actually is. This is a starting skeleton, not a decision.
  • Symmetrical 3-column or 6-column feature grids — every section resolves to three items or six items arranged identically, because three and six feel "balanced" to a model without knowledge of the actual feature set.
  • Full-viewport hero sections with nothing but text, a subheadline, and a button — 100vh of empty air treated as sophistication.
  • Section → divider → section → divider rhythm with no variation — every page breathes the same. Real page rhythm varies: compressed detail sections, open breathing sections, dense data sections.
  • Sticky navigation that appears on every page regardless of whether the page is a one-scroll landing page, a long-form article, or an app view where navigation competes with content.
  • Footer with 4–5 column link columns containing links that nobody using this specific product would realistically navigate to.
  • Icons for features that don't require icons — AI models love to put a Lucide or Heroicon next to every feature, even when it doesn't add clarity.
  • Emoji used as icons, or used anywhere in the copy — no emoji standing in for an icon, and no emoji in headlines, buttons, or body text. Use a real icon.
  • The default Shadcn icon set, unquestioned — pick an icon library deliberately, or ask the user which style they prefer and choose based on the answer. Don't ship whatever came bundled with the component library.
  • Decorative gradients added by default — gradients are fine if the user explicitly asks for one. If you use one, keep it subtle and make sure it actually fits the palette, never apply it to the last section of a page (end on a solid color), and don't reach for Shadcn's default button/link gradient presets.

Read the full file on GitHub · 507 lines

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 · 507 lines · 91 tokens per session scan A e77e1d649567

Subscribe to this mod's changes

web-ai-slop is a skill published in the GitHub repository sahilkargutkar/web-ai-slop (5 stars, last pushed 1mo ago), licensed MIT. It adds 91 tokens to every session and 10,478 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). 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

paperclip-capsules

Generate, implement, or review Paperclip capsule visuals. Use for capsule art, agent capsules, heartbeat status capsules, identicons, capsule banks, or brand-usage validation.

paperclipai/paperclip · 41 tokens

card-design

A visual design system for social-media cards and posters, covering colour choices, Chinese typography, layouts, content density, and quality checks.

ZJU-REAL/Easel · 113 tokens

design-visual-design

Use when the user asks about visual design, color theory, typography, layout, visual hierarchy, spacing, proportion, or UI aesthetics. Do NOT use for: design systems (design-design-systems), UX research (design-ux-research), or prototyping (design-prototyping).

j4flmao/agent-skills · 64 tokens

ads-dna

Brand DNA extractor for paid advertising. Scans a website URL to extract visual identity, tone of voice, color palette, typography, and imagery style. Outputs brand-profile.json to the current directory. Run before /ads create or /ads generate for brand-consistent creative. Triggers on: brand DNA, brand profile…

citedy/adclaw · 90 tokens

agentic-webdesign-framesmith

Use Framesmith MCP server to give AI agents a visual design canvas — sketch UI, review in browser, agree on design before writing framework code. Scene graph → HTML/CSS → PNG rendering with evaluation and auto-fix.

S3YED/appie-kit · 53 tokens

explore

This skill should be used when the user says 'explore', 'directions', 'design space', 'sketch', 'contrast', 'compare', or wants to see fundamentally different design approaches. Proposes 3-4 divergent directions with inline sketches and contrast capability.

pyros-projects/limitless · 58 tokens