Audit AI Design Slop
Meng ToCommunityCreated by Meng To
- Skill
- Review and audit
- Design and creative
- MIT
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill provides a structured, evidence-based audit for websites, apps, and design mockups. It focuses on identifying 'slop'—generic, repetitive, or purely decorative AI-generated patterns—alongside standard UI defects. The audit prioritizes a removal-first approach, aiming to improve clarity and hierarchy by stripping away unnecessary elements rather than suggesting speculative redesigns. It requires concrete evidence for every finding and categorizes issues by impact, ensuring that feedback is actionable and grounded in the specific artifact provided.
What it does
- Audits visual artifacts for decorative stacking, component repetition, and copy clutter.
- Identifies established UI failures like accessibility issues, broken responsive behavior, and unclear hierarchy.
- Flags deceptive or unverifiable 'fake proof' elements such as invented testimonials or metrics.
- Applies a removal test to determine if elements can be deleted to improve clarity.
- Prioritizes findings into P0-P3 levels based on their impact on usability and trust.
- Generates a structured report detailing the verdict, scope, and specific actionable corrections.
When to use it
- When you need an objective audit of a design to remove generic or distracting elements.
- When a design feels cluttered or lacks clear hierarchy due to excessive decorative layers.
- When you want to clean up a UI without introducing a completely new design system.
- When you need to identify and fix usability or accessibility defects in an existing interface.
Advantages
- Promotes a minimalist, removal-first philosophy that preserves existing brand identity.
- Prevents subjective 'taste' arguments by requiring concrete evidence for every finding.
- Reduces noise by grouping repeated systemic issues into single, high-impact findings.
- Focuses on functional improvement rather than speculative aesthetic changes.
Usage examples
- “Audit this landing page screenshot for AI design slop and UI defects.”
- The agent provides a structured report identifying specific decorative containers and redundant copy that should be removed to improve the page's visual hierarchy.
- “Review my app's dashboard for usability issues and generic patterns.”
- The agent lists high-impact findings, such as low-contrast text and repetitive card treatments, with recommendations on which elements to consolidate or delete.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/mengto/audit-ai-design-slop/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip audit-ai-design-slop.zip -d .agents/skills
Documentation by Meng To
Audit AI Design Slop
Run a diagnostic, evidence-backed audit. Identify the smallest set of removals or corrections that would improve the interface while preserving its existing direction.
Boundaries
Do not guess whether AI made the design.
Do not assign a numeric slop score.
Do not reject a visual technique in isolation. A gradient, serif, dark theme, glass effect, card, animation, or single-font system can be intentional.
Do not prescribe a new font, palette, layout, design system, or art direction unless the user explicitly asks for one.
Do not turn an audit into an implementation task.
Mark anything outside the visible or provided evidence as unknown.
Audit the Evidence
Inspect the artifact available in the request:
screenshots and recordings
rendered pages and relevant viewports
interaction and state changes
source code, tokens, assets, and copy
console or runtime failures when they affect the experience
For every finding, cite a concrete location, component, behavior, or line of copy. Do not report a generic tendency without evidence in the artifact.
For a full-page or full-site review, read ../no-ai-design-slop/ARTICLE.md and use only the catalog sections relevant to the inspected artifact. Do not turn every checklist match into a finding. Group symptoms by root cause and report the highest-impact evidence.
Classify Findings
Use one of these classes:
Quality defect: an established usability, accessibility, content, responsive, or runtime problem.
Slop pattern: a repeated default, decorative layer, or generated-looking convention with no useful role.
What to Flag
Decorative stacking
Flag combinations of glow, gradient text, glass, borders, shadows, grids, particles, beams, noise, floating shapes, or browser chrome when multiple layers perform the same decorative job or compete with the content.
Component and template repetition
Flag:
card treatment applied to nearly every content block
repeated icon-heading-description tiles with interchangeable content
nested rounded containers that do not communicate hierarchy
generic landing-page sequences unrelated to the product's buying or usage journey
headings, labels, pills, or CTA blocks that restate nearby information
Typography and copy clutter
Flag:
duplicate text or unnecessary labels
empty superlatives, vague category claims, and generated filler
decorative type treatments that obscure hierarchy or readability
long centered paragraphs, awkward forced line breaks, or hard-to-scan text
inconsistent type roles that look accidental rather than expressive
Motion theater
Flag motion that delays access, repeats mechanically, distracts from reading, moves targets, blocks input, or lacks respect for reduced-motion preferences. Preserve motion that communicates state, causality, hierarchy, or spatial change.
Fake proof
Flag invented or unverifiable metrics, customers, testimonials, awards, ratings, activity, dashboards, charts, logos, and portraits when they are presented as evidence.
Established UI failures
Flag:
unclear or competing primary actions
low contrast or unreadable content
clipping, overflow, overlap, or broken responsive behavior
broken assets, links, scripts, or controls
essential information available only on hover
missing states required by the observed flow
unclear labels, roles, feedback, or keyboard focus
accidental inconsistency in spacing, type, color, radius, or icons
visual hierarchy that contradicts task importance
Use the Removal Test
For every candidate:
State what information, state, action, hierarchy, or brand meaning it provides.
Ask whether removing it would improve clarity without losing that role.
If yes, recommend removal or consolidation.
If no, recommend the smallest correction using the existing system.
Suggest a replacement only when deletion would create a real loss.
Default to subtraction. A replacement should inherit the product's existing language rather than introduce a new visual concept.
Prioritize
P0: blocks completion, creates a severe accessibility issue, or presents deceptive proof
P1: materially harms comprehension, trust, navigation, or interaction
P2: repeated slop or inconsistency that weakens hierarchy and identity
P3: minor polish issue with limited user impact
Return the five to eight highest-impact findings by default. Group repeated instances into one systemic finding.
Output
## Verdict
One concise paragraph about the dominant problems and what should be removed first.
## Checked scope
- Artifact, screen, state, and viewport actually inspected
## Findings
| Priority | Class | Pattern | Evidence | Harm | Remove or fix |
|---|---|---|---|---|---|
| P1 | Slop pattern | Repeated ornamental containers | Feature area uses the same layered card treatment for unrelated content | Flattens hierarchy and adds noise | Remove outer shells; retain grouping only where it communicates interaction |
## Unknowns
- Important states or behavior that could not be verifiedKeep the report compact. Omit empty sections.
Feedback Rules
Lead with concrete evidence, not taste claims.
Name the pattern and its harm.
Recommend removal before restyling.
Avoid generic compliments and exhaustive low-impact nitpicks.
Preserve useful product-specific detail and intentional character.
Do not cite a standard unless it directly supports the finding.
Do not describe an aesthetic as universally bad.
If the user explicitly asks for design swaps, place an optional replacement after the removal recommendation and keep it consistent with the existing system.
End with the single removal or correction that would produce the largest improvement.
Files
- ATTRIBUTION.mdAdded by AutoGineer854 B
- LICENSELicence file added by AutoGineer1.0 KiB
- REFERENCES.md825 B
- SKILL.md6.1 KiB
- agents/openai.yaml240 B
ATTRIBUTION.md
Attribution
This folder is an unmodified copy of the Agent Skill "audit-ai-design-slop", distributed by AutoGineer (https://autogineer.com/agent-skills).
Commit: 5ea1661a0e05d82b054553daaa6baf6d0233c33c
Created by: Meng To (https://github.com/MengTo)
Publisher: Meng To (https://github.com/MengTo)
Licence: MIT License (https://github.com/MengTo/Skills/blob/5ea1661a0e05d82b054553daaa6baf6d0233c33c/LICENSE)
Licence evidence: repository licence LICENSE
Retrieved: 2026-11-07
The skill's own files are unmodified copies. AutoGineer is not affiliated with or endorsed by the author or the publisher.
Files added by AutoGineer
ATTRIBUTION.md: this file, written by AutoGineer
LICENSE: copied from LICENSE
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
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Attribution and licence
- Created by
- Meng To
- Publisher
- Meng To (Community)
- Source
- MengTo/Skills · agent-skills/ui/audit-ai-design-slop · commit 5ea1661
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by Meng To or Meng To.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download audit-ai-design-slop.zip