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 oyi77/1ai-skills --skill anti-slop-frontendgit clone --depth 1 https://github.com/oyi77/1ai-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/oyi77/1ai-skills/anti-slop-frontend)<a href="https://agentmods.dev/skills/oyi77/1ai-skills/anti-slop-frontend"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/anti-slop-frontend/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/oyi77/1ai-skills/anti-slop-frontend"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/anti-slop-frontend.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 135 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00060 | $0.01629 |
| Opus 5.5 | $0.00024 | $0.00652 |
| Sonnet 5.5 | $0.00012 | $0.00326 |
| Haiku 4.5 | $0.00006 | $0.00163 |
Grade A, and why
anti-slop-frontend 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 yesterday.
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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
Anti-slop frontend design framework based on Leonxlnx/taste-skill. Provides 13 specialized skills that enforce distinctive, production-grade visual design — countering the generic, soulless UIs that AI agents typically generate.
The framework covers layout systems, typography hierarchies, motion design, spacing discipline, and image-to-code pipelines across three visual style variants.
Delegation: Full Design Builds → Hallmark & Impeccable
This skill is the constraint/taste layer. When the task requires an actual page build, redesign, or rendered audit — not just visual constraint review — delegate to hallmark or impeccable:
| Task shape | Load |
|---|---|
| Review generated UI against slop patterns, pick a visual variant | this skill |
| Build/redesign a page end-to-end, theme dealing, sloplint render check | hallmark |
| End-to-end design OS, 24 commands (craft/critique/polish/harden), PRODUCT.md & DESIGN.md | impeccable |
| Audit an existing rendered page for AI tells | hallmark via /hallmark audit <path> or impeccable via /impeccable audit |
Never run conflicting constraint engines on one build: Hallmark's Floor and Impeccable's Craft Floor set the non-waivable bottom; this framework's variants are advisory above them.
Implementation Skills
- Configure agents, anti, better, boilerplate, building settings before first use
taste-skill (v2)
Core design taste engine. Injects layout/typography/color/motion constraints into agent output to prevent generic patterns.
- When to use: Every frontend generation task as a baseline quality filter.
- Key principles: White space is intentional, type scales are non-negotiable, color palettes have hierarchy, motion serves purpose.
taste-skill-v1
Legacy taste skill for backward compatibility with existing agent pipelines.
gpt-taste
GPT-specific taste calibration — adapts design constraints for GPT-based code generators.
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.
- yesterday Changed · +13 lines 2ce9df763218
- 1mo ago First seen · 198 lines · 60 tokens per session scan A 22430a6fc189
anti-slop-frontend is a skill published in the GitHub repository oyi77/1ai-skills (17 stars, last pushed yesterday), licensed MIT. It adds 60 tokens to every session and 1,629 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.
Other skills, from other repositories
design-system
Document and define UI design system tokens, components, and guidelines.
ui-design
Comprehensive UI design skill covering fundamentals, patterns, and anti-patterns. Layout, typography, color, spacing, accessibility, motion, and component design. Use when building any web interface, reviewing design quality, or creating distinctive UIs.
design
Use when the user wants the visual/experiential design of a product done systematically — a design system, a screen, a landing page, or a visual identity — grounded in researched real-world prior art and free of AI slop. Establishes/extends the design system, invokes the matching local taste skill, dispatches the…
design
Use when designing, redesigning, restyling or reviewing a web page or app screen (landing, product site, portfolio, dashboard, docs) or when a UI looks generic or AI-made. Deals a researched direction, takes the idea from the subject, uses real pictures, proves it in a browser. NOT the words (landing-copy), NOT flows…
absolute-ui
Build polished, intentional UIs with concrete CSS/Tailwind values — typography, color, layout, spacing, dark mode, accessibility, animations, components. Encodes specific, opinionated rules with exact values, not vague advice. Covers buttons, cards, forms, tables, navigation, dashboards, landing pages, onboarding, and…
stitch-taste-design
Create opinionated premium DESIGN.md guidance for Stitch, emphasizing calibrated typography, restrained color, layout discipline, motion, and anti-generic UI rules.