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 agentmods add skills/nevergoodstudy-hub/wechat-article-summarizer/aestheticnpx skills add nevergoodstudy-hub/wechat-article-summarizer --skill aestheticgit clone --depth 1 https://github.com/nevergoodstudy-hub/wechat-article-summarizerWrote 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/nevergoodstudy-hub/wechat-article-summarizer/aesthetic)<a href="https://agentmods.dev/skills/nevergoodstudy-hub/wechat-article-summarizer/aesthetic"><img src="https://agentmods.dev/badge/skills/nevergoodstudy-hub/wechat-article-summarizer/aesthetic.svg" alt="Measured on agentmods" 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 | $0.00146 | $0.01293 |
| Opus 5 | $0.00073 | $0.00647 |
| Sonnet 5 | $0.00029 | $0.00259 |
| Haiku 4.5 | $0.00015 | $0.00129 |
Grade A, and why
aesthetic 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 6d 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.
This is a copy
100% identical to aesthetic — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Aesthetic
Create aesthetically beautiful interfaces by following proven design principles and systematic workflows.
When to Use This Skill
Use when:
- Building or designing user interfaces
- Analyzing designs from inspiration websites (Dribbble, Mobbin, Behance)
- Generating design images and evaluating aesthetic quality
- Implementing visual hierarchy, typography, color theory
- Adding micro-interactions and animations
- Creating design documentation and style guides
- Need guidance on accessibility and design systems
Core Framework: Four-Stage Approach
1. BEAUTIFUL: Understanding Aesthetics
Study existing designs, identify patterns, extract principles. AI lacks aesthetic sense—standards must come from analyzing high-quality examples and aligning with market tastes.
Reference: references/design-principles.md - Visual hierarchy, typography, color theory, white space principles.
2. RIGHT: Ensuring Functionality
Beautiful designs lacking usability are worthless. Study design systems, component architecture, accessibility requirements.
Reference: references/design-principles.md - Design systems, component libraries, WCAG accessibility standards.
3. SATISFYING: Micro-Interactions
Incorporate subtle animations with appropriate timing (150-300ms), easing curves (ease-out for entry, ease-in for exit), sequential delays.
Reference: references/micro-interactions.md - Duration guidelines, easing curves, performance optimization.
4. PEAK: Storytelling Through Design
Elevate with narrative elements—parallax effects, particle systems, thematic consistency. Use restraint: "too much of anything isn't good."
Reference: references/storytelling-design.md - Narrative elements, scroll-based storytelling, interactive techniques.
Workflows
Workflow 1: Capture & Analyze Inspiration
What ships with it
6 files 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.
- 6d ago First seen · 122 lines · 146 tokens per session scan A c332f5bb505a
aesthetic is a skill published in the GitHub repository nevergoodstudy-hub/wechat-article-summarizer (5 stars, last pushed 2mo ago), licensed MIT. It adds 146 tokens to every session and 1,293 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to aesthetic, differing in 0 lines, and is treated as a copy.
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