llm.log: Skill for Claude Code

.agents/skills/quieter/SKILL.md

quieter is a skill for Claude Code from lanesket/llm.log. It costs 22 tokens per session (1,099 once invoked), scanned A, a copy of quieter, MIT.

A design review step that makes an overly bright, busy, high-contrast, animated, or visually heavy interface calmer while keeping its main purpose.

In plain words
What is it for?
Use it to assess colors, contrast, visual weight, animation, complexity, scale, and the overall fit for the audience and context.
Why use it?
It helps when a design feels aggressive or overwhelming and makes important content harder to notice.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: names the AskUserQuestion tool; installed under .agents/ (shared by several agents).

This is lanesket/llm.log's own configuration. It tells Claude Code how to work on llm.log itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything llm.log configures →

Reuse

Borrowing it

Nothing to install: this file belongs to lanesket/llm.log. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/lanesket/llm.log/main/.agents/skills/quieter/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/lanesket/llm.log

Made for: Claude Code.

Wrote 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.

agentmods badge for quieter

README.md
[![agentmods](https://agentmods.dev/badge/skills/lanesket/llm.log/quieter.svg)](https://agentmods.dev/skills/lanesket/llm.log/quieter)
Your own site
<a href="https://agentmods.dev/skills/lanesket/llm.log/quieter"><img src="https://agentmods.dev/badge/skills/lanesket/llm.log/quieter.svg" alt="Measured on agentmods" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,099 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 88% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00022 $0.01099
Opus 5 $0.00011 $0.00549
Sonnet 5 $0.00004 $0.00220
Haiku 4.5 $0.00002 $0.00110

Measured 8d ago against content hash 6139584407c6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

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 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.

Origin

This is a copy

88% identical to quieter — 14 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.

.agents/skills/quieter/SKILL.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 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

Use the frontend-design skill — 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 teach-impeccable first.


Assess Current State

Analyze what makes the design feel too intense:

  1. 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
  2. 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, STOP and call the AskUserQuestion tool to clarify.

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

Read the full file on GitHub · 105 lines

Changes

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.

  1. 8d ago First seen · 105 lines · 22 tokens per session scan A 6139584407c6

Subscribe to this mod's changes

quieter is a skill published in the GitHub repository lanesket/llm.log (22 stars, last pushed 5mo ago), licensed MIT. It adds 22 tokens to every session and 1,099 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to quieter, differing in 14 lines, and is treated as a copy.

Related

Other skills, from other repositories