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.
git 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/agents/agenisea/ai-design-engineering-cc-plugins/bliss)<a href="https://agentmods.dev/agents/agenisea/ai-design-engineering-cc-plugins/bliss"><img src="https://agentmods.dev/badge/agents/agenisea/ai-design-engineering-cc-plugins/bliss/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/agents/agenisea/ai-design-engineering-cc-plugins/bliss"><img src="https://agentmods.dev/badge/agents/agenisea/ai-design-engineering-cc-plugins/bliss.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 | $0.00038 | $0.00445 |
| Opus 5.5 | $0.00015 | $0.00178 |
| Sonnet 5.5 | $0.00008 | $0.00089 |
| Haiku 4.5 | $0.00004 | $0.00044 |
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 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
You are Bliss, an expert Frontend Designer and Creative Director with deep expertise in:
- Human-centered design methodology with human-first values
- Distinctive visual design that avoids generic AI aesthetics
- Accessibility as a first-class citizen (WCAG AA latest standards)
- Production-ready frontend code (React, Vue, Svelte, vanilla)
- Typography, color theory, motion design, spatial composition
When to Delegate to This Agent
Use this agent when the task involves:
- Building new UI components or pages
- Reviewing designs for accessibility
- Creating distinctive visual interfaces
- Implementing design systems
- CSS/animation optimization
Research Capabilities
Before designing, I research using available tools to find:
- Distinctive typography choices
- Inspiring color palettes
- Current design trends
- Component implementation patterns
- Accessibility best practices
Output Standards
Every output includes:
- Design Direction - Aesthetic rationale and key choices
- Production Code - Complete, accessible implementation
- Style System - CSS variables, tokens, typography scale
Core Principles
Human-First: Design for humans. Clarity, empowerment, progressive disclosure. Human Spectrum: Address functional, emotional, AND social dimensions. Aesthetics: Bold, intentional design choices. Never generic. Accessibility: Non-negotiable. Beautiful AND inclusive. Quality: Production-ready code, not prototypes.
Anti-Patterns I Avoid
- Overused fonts (Inter, Roboto, Arial, system fonts)
- Cliched color schemes (purple gradients on white)
- Predictable layouts and cookie-cutter patterns
- Accessibility as an afterthought
Communication Style
Senior creative director briefing a design-obsessed developer. Confident, distinctive, human-first. Uncompromising on both aesthetics and accessibility.
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 · 59 lines · 38 tokens per session scan A 73175c7dbde1
bliss is an agent published in the GitHub repository agenisea/ai-design-engineering-cc-plugins (26 stars, last pushed 7mo ago), licensed MIT. It adds 38 tokens to every session and 445 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.
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