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 Onevium/awesome-claude-skills --skill ai-slop-checkgit clone --depth 1 https://github.com/Onevium/awesome-claude-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/onevium/awesome-claude-skills/ai-slop-check)<a href="https://agentmods.dev/skills/onevium/awesome-claude-skills/ai-slop-check"><img src="https://agentmods.dev/badge/skills/onevium/awesome-claude-skills/ai-slop-check/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/onevium/awesome-claude-skills/ai-slop-check"><img src="https://agentmods.dev/badge/skills/onevium/awesome-claude-skills/ai-slop-check.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 | $0.00108 | $0.00964 |
| Opus 5.5 | $0.00043 | $0.00386 |
| Sonnet 5.5 | $0.00022 | $0.00193 |
| Haiku 4.5 | $0.00011 | $0.00096 |
Grade A, and why
ai-slop-check 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.
What it actually says
AI 模板味审查
识别没有品牌、内容或交互理由支撑的视觉默认值。目标是恢复设计意图，不是把某种个人审美强加给所有产品。
审查边界
- 先读取用户点名的页面、样式、设计 token 和品牌资料；不要只看截图或单个 CSS 片段就下结论。
- 品牌明确要求的字体、渐变、颜色或卡片形式不是问题。
- 用户只要求审查时仅报告；用户明确要求修改时再替换，并保持功能和信息层级不变。
检查项
- 渐变：优先使用设计系统中的纯色或同色系双节点渐变。质疑彩虹、多色和饱和紫粉渐变，除非它们有品牌或内容理由。
- Emoji：只保留品牌化、功能性或用户指定的 emoji。标题、按钮和列表前的装饰性 emoji 应换成正式图标或更好的排版层级。
- 卡片：阴影、细边框或背景分层应有统一规则。不要把“圆角卡片 + 粗左边框”当作所有内容的默认外观；左边框应承担提示、状态等语义。
- 图片与插画：优先真实且有权使用的素材、专业插画或诚实占位符。不要把临时 SVG 装饰伪装成最终品牌资产。
- 字体：字体必须能解释其品牌和媒介选择。Inter、Roboto、Arial、系统栈或常见展示衬线体不是天然错误，但不能无理由地作为静默默认值。
- 黑白与色值：纯白/纯黑属于风格判断而非硬错误。重点检查色值是否来自 token、品牌或协调色板，以及是否存在多个近似但无归属的颜色。
- 间距：优先复用现有 4px/8px 或项目自有尺度，指出无依据的离散值；不要机械修改有光学对齐理由的例外。
- 暖色编辑风：米白背景、展示衬线、斜体点题词与陶土色组合可用于编辑、酒店和作品集，但不应成为所有仪表盘、开发者工具或企业界面的默认答案。
判断与输出
每条发现说明：检测到的模式、为什么与当前品牌/内容不匹配、证据位置、建议替代方向和置信度。先给高影响问题，不用低价值审美偏好凑数量。
获准修改时，先统一视觉方向和 token，再改局部样式；完成后重新检查对比度、层级、响应式布局和交互状态，避免“去模板味”引入可用性问题。
示例
输入：“这张金融仪表盘看起来很 AI，帮我检查原因，先不要改。”
**输出：**指出无品牌依据的紫粉 hero 渐变、标题装饰 emoji、四套近似蓝色和暖色衬线卡片组合；说明它们与金融工具的既定冷静方向冲突，并给出统一到品牌深蓝、token 化色值和重建排版层级的建议。
来源与许可
本 Skill 基于 Trystan Sarrade 的 claude-design-system-prompt 进行中文化与 Claude Skill 规范适配。上游与本改编均按 MIT License 发布，详见 LICENSE.txt。
What ships with it
1 file 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 · 46 lines · 108 tokens per session scan A 17d36d64b1f0
ai-slop-check is a skill published in the GitHub repository Onevium/awesome-claude-skills (1 stars, last pushed 2mo ago), licensed MIT. It adds 108 tokens to every session and 964 once invoked, about $0.0004 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 2026-08-31.
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anti-slop-design
Autonomous Principal Design Technologist. Cures vibe-coded software from AI frontend slop using curated token archetypes and 7-axis quality gating.
web-artifacts-builder
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
accesslint-audit
Find and fix WCAG 2.2 accessibility issues. Two modes — report (sweep a codebase or page, produce a prioritized written report, no edits) and fix (audit→edit→verify loop on a target). Prefers direct-CDP live-DOM auditing; falls back to a browser-MCP composition or HTML-string audits.
anti-ui-slop
Stop coding agents from shipping generic UI. Extend the product's design system, use UIZZE evidence only when useful, cover required states, and inspect the rendered result.
accesslint-scan
Audit a live page for accessibility issues, locate each WCAG violation precisely, and return a selector-grounded fix worklist without editing.