Borrowing it
Nothing to install: this file belongs to ReScienceLab/TrySkills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ReScienceLab/TrySkills/main/.agents/skills/quieter/SKILL.mdgit clone --depth 1 https://github.com/ReScienceLab/TrySkillsWrote 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/resciencelab/tryskills/quieter)<a href="https://agentmods.dev/skills/resciencelab/tryskills/quieter"><img src="https://agentmods.dev/badge/skills/resciencelab/tryskills/quieter/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/resciencelab/tryskills/quieter"><img src="https://agentmods.dev/badge/skills/resciencelab/tryskills/quieter.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 | $0.00047 | $0.01116 |
| Opus 5.5 | $0.00019 | $0.00446 |
| Sonnet 5.5 | $0.00009 | $0.00223 |
| Haiku 4.5 | $0.00005 | $0.00112 |
Grade A, and why
quieter 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.
This is a copy
97% identical to quieter — 10 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reduce visual intensity in designs that are too bold, aggressive, or overstimulating, creating a more refined and approachable aesthetic without losing effectiveness.
MANDATORY PREPARATION
Invoke /impeccable — it contains design principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no design context exists yet, you MUST run /impeccable teach first.
Assess Current State
Analyze what makes the design feel too intense:
-
Identify intensity sources:
- Color saturation: Overly bright or saturated colors
- Contrast extremes: Too much high-contrast juxtaposition
- Visual weight: Too many bold, heavy elements competing
- Animation excess: Too much motion or overly dramatic effects
- Complexity: Too many visual elements, patterns, or decorations
- Scale: Everything is large and loud with no hierarchy
-
Understand the context:
- What's the purpose? (Marketing vs tool vs reading experience)
- Who's the audience? (Some contexts need energy)
- What's working? (Don't throw away good ideas)
- What's the core message? (Preserve what matters)
If any of these are unclear from the codebase, ask the user directly to clarify what you cannot infer.
CRITICAL: "Quieter" doesn't mean boring or generic. It means refined, sophisticated, and easier on the eyes. Think luxury, not laziness.
Plan Refinement
Create a strategy to reduce intensity while maintaining impact:
- Color approach: Desaturate or shift to more sophisticated tones?
- Hierarchy approach: Which elements should stay bold (very few), which should recede?
- Simplification approach: What can be removed entirely?
- Sophistication approach: How can we signal quality through restraint?
IMPORTANT: Great quiet design is harder than great bold design. Subtlety requires precision.
Refine the Design
Systematically reduce intensity across these dimensions:
Color Refinement
- Reduce saturation: Shift from fully saturated to 70-85% saturation
- Soften palette: Replace bright colors with muted, sophisticated tones
- Reduce color variety: Use fewer colors more thoughtfully
- Neutral dominance: Let neutrals do more work, use color as accent (10% rule)
- Gentler contrasts: High contrast only where it matters most
- Tinted grays: Use warm or cool tinted grays instead of pure gray—adds sophistication without loudness
- Never gray on color: If you have gray text on a colored background, use a darker shade of that color or transparency instead
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 · 103 lines · 47 tokens per session scan A 60c2e797da69
quieter is a skill published in the GitHub repository ReScienceLab/TrySkills (3 stars, last pushed 5mo ago), licensed MIT. It adds 47 tokens to every session and 1,116 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 97% identical to quieter, differing in 10 lines, and is treated as a copy.
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