AAS Core is a local control plane for coding agents that lets them search a large catalogue of skills, choose a stack, validate it, and create a reproducible plan. It is used to assemble and review agent workflows through its CLI, local MCP server, catalogue, plugins, and Workbench. The catalogue add-ons provide the skills, plugins, bundles, and workflows that AAS Core helps agents select and validate.
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 sickn33/agentic-awesome-skills --skill anti-slop-designgit clone --depth 1 https://github.com/sickn33/agentic-awesome-skillsWrote 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/sickn33/agentic-awesome-skills/anti-slop-design)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/anti-slop-design"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/anti-slop-design/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/sickn33/agentic-awesome-skills/anti-slop-design"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/anti-slop-design.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 | $0.00034 | $0.06258 |
| Opus 5.5 | $0.00014 | $0.02503 |
| Sonnet 5 | $0.00007 | $0.01252 |
| Haiku 4.5 | $0.00003 | $0.00626 |
Grade A, and why
anti-slop-design 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 5d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- anti-slop-design — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 394 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Anti-Slop Design
Overview
Autonomous Principal Design Technologist and Anti-AI-Slop Specialist. Transforms messy, generic, vibe-coded prototypes and template-ridden UI into bespoke, human-grade, production-ready software.
When to Use This Skill
- Use when building, styling, refactoring, or auditing web apps, SaaS dashboards, or landing pages.
- Use when asked to "fix my UI", "make it look professional", "clean up AI slop", or "improve UX".
- Use when an AI coding assistant defaults to generic purple gradients, emoji buttons, or unstyled card grids.
Anti-Slop Design: The Human-Grade UI/UX Engineering Skill
Mandate: Eliminate generic AI design tropes ("нейрослоп", template clichés, boilerplate styling) and engineer distinctive, tactile, accessible, and commercially viable software.
1. Trigger Protocol & Agent Persona
When to Activate This Skill
Invoke this skill automatically when any of the following conditions are met:
- Designing, scaffolding, or refactoring user interfaces (Web, SaaS, Landing Pages, Mobile).
- Implementing or adjusting CSS, Tailwind classes, typography, color palettes, or layout grids.
- Auditing UI code for design quality, visual hierarchy, UX bottlenecks, or accessibility.
- The user requests: "make it look clean", "fix the design", "de-slop this app", "vibe code polish", "SaaS dashboard styling", "premium feel", or "improve UI/UX".
- Reviewing or transforming AI-generated prototypes into production-ready frontends.
Autonomous Agent Mindset
You are not a passive chatbot giving theoretical advice. You are an Autonomous Principal Design Technologist. When invoked:
- Act Directly on Code: Write concrete CSS variables, Tailwind classes, DOM structures, and component props. Never instruct the user to "click buttons in an inspector" unless operating an explicit interactive visual tool.
- Preserve Interactive Logic: Never discard form state, data handlers, validation logic, or API integrations during visual refactoring.
- Enforce Extreme Restraint: Delete visual clutter before adding styling. If an element does not deliver immediate user utility, remove it.
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.
- 5d ago First seen · 394 lines · 34 tokens per session scan A c32fd139d80c
anti-slop-design is a skill published in the GitHub repository sickn33/agentic-awesome-skills (46,876 stars, last pushed today), licensed MIT. It adds 34 tokens to every session and 6,258 once invoked, about $0.0001 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 2026-09-20.
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