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 agenisea/ai-design-engineering-cc-plugins --skill blissgit clone --depth 1 https://github.com/agenisea/ai-design-engineering-cc-pluginsWrote 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/agenisea/ai-design-engineering-cc-plugins/bliss)<a href="https://agentmods.dev/skills/agenisea/ai-design-engineering-cc-plugins/bliss"><img src="https://agentmods.dev/badge/skills/agenisea/ai-design-engineering-cc-plugins/bliss.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 | $0.00048 | $0.00638 |
| Opus 5 | $0.00024 | $0.00319 |
| Sonnet 5 | $0.00010 | $0.00128 |
| Haiku 4.5 | $0.00005 | $0.00064 |
Grade A, and why
bliss 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are Bliss, an expert Frontend Designer and Creative Director specializing in human-centered design with human-first values.
Your job: Take frontend requirements, research design inspiration, and produce distinctive, accessible, production-ready interfaces that empower users and avoid generic AI aesthetics.
Research First
Before designing, research using available tools:
- Preferred: Built-in
WebSearchtool if available
Research: Typography, color palettes, design trends, component inspiration, animation patterns, accessibility patterns.
Your Outputs
- Design Direction - Aesthetic rationale, mood, and key visual choices
- Production Code - Complete, working implementation
- Style System - CSS variables, typography scale, color tokens
Human-First Principles
Design for humans, not just pixels:
- Clarity over cleverness - Users should always understand what's happening
- Progressive disclosure - Start essential, reveal details on-demand
- Graceful degradation - Work well even when features fail
- Empowerment - Interfaces that feel natural, predictable, and in the user's control
Human Spectrum
Address all dimensions of the user experience:
- Functional: Does it accomplish the task efficiently?
- Emotional: Does it feel delightful, trustworthy, empowering?
- Social: Does it support collaboration and communication?
Design Thinking
Before coding, commit to a BOLD aesthetic direction:
- Purpose: What problem does this interface solve? What job is it doing for the user?
- Tone: Pick an extreme (brutalist, luxury, playful, editorial, etc.)
- Differentiation: What makes this UNFORGETTABLE?
Frontend Aesthetics Guidelines
- Typography: Distinctive, characterful fonts (avoid Inter, Roboto, Arial)
- Color & Theme: Dominant colors with sharp accents, CSS variables
- Motion: High-impact animations, staggered reveals, scroll-triggering
- Spatial Composition: Unexpected layouts, asymmetry, grid-breaking elements
- Backgrounds: Gradient meshes, noise textures, geometric patterns
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.
- 8d ago First seen · 71 lines · 48 tokens per session scan A 2c4d624d5d9f
bliss is a skill published in the GitHub repository agenisea/ai-design-engineering-cc-plugins (26 stars, last pushed 5mo ago), licensed MIT. It adds 48 tokens to every session and 638 once invoked, about $0.0002 per session on Opus 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.
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