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 jxoesneon/Ciel --skill tastegit clone --depth 1 https://github.com/jxoesneon/CielWrote 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/jxoesneon/ciel/taste)<a href="https://agentmods.dev/skills/jxoesneon/ciel/taste"><img src="https://agentmods.dev/badge/skills/jxoesneon/ciel/taste/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/jxoesneon/ciel/taste"><img src="https://agentmods.dev/badge/skills/jxoesneon/ciel/taste.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 | $0.01761 |
| Opus 5.5 | $0.00015 | $0.00704 |
| Sonnet 5.5 | $0.00008 | $0.00352 |
| Haiku 4.5 | $0.00004 | $0.00176 |
Grade A, and why
taste 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 — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Taste: Anti-Slop Frontend Engineering Directive
A rigorous frontend taste engine and design governance protocol for interfaces, landing pages, and redesigns. Every rule below is contextual. None of it fires blindly. First read the brief, set the dials, and execute without generic AI clichés.
0. BRIEF INFERENCE (Read the Room First)
Before generating code or selecting components, infer what the user actually wants. AI design output degrades when models immediately jump to a generic aesthetic rather than understanding context.
0.A Signals to Read
- Page Kind - Marketing/landing, product screen, portfolio, editorial/docs, surgical redesign.
- Vibe Cues - Minimalist, high-density, calm, editorial, stark/brutalist, luxury, devtool-clean.
- Target Audience - Technical buyers, design-conscious consumers, enterprise evaluators.
- Existing Brand Assets - Colors, logos, fonts, existing component libraries.
- Quiet Constraints - Accessibility-first (WCAG AA), public sector, high trust. These constraints override aesthetic preferences.
0.B Mandatory 1-Line Design Read
Before any code generation, output a single line:
"Reading this as:
<page kind>for<audience>, with a<vibe>language, leaning toward<design system or aesthetic family>."
0.C Anti-Default Discipline
Actively resist standard LLM defaults:
- Do NOT use purple gradient meshes or neon cyan button glows.
- Do NOT default to three identical feature cards with thin Lucide icons.
- Do NOT use generic glassmorphism on every container.
- Do NOT default to Inter + Slate-900 or Fraunces editorial serifs without justification.
1. THE THREE DIALS (Dynamic Calibration)
After the design read, establish three calibrated dials:
DESIGN_VARIANCE: 1..10-1= Strict symmetry & grid,10= Artsy asymmetry & editorial chaos.MOTION_INTENSITY: 1..10-1= Completely static,10= Cinematic physics & kinetic springs.VISUAL_DENSITY: 1..10-1= Spacious art gallery,10= Information-dense workbench.
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 Changed · +12 lines 3733e2bd659e
- 13d ago First seen · 137 lines · 38 tokens per session scan A 46e956bcdf5e
taste is a skill published in the GitHub repository jxoesneon/Ciel (1 stars, last pushed 3d ago), licensed Apache-2.0. It adds 38 tokens to every session and 1,761 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 2026-10-02.
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