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.
curl -O https://raw.githubusercontent.com/lanesket/llm.log/main/.agents/skills/arrange/SKILL.mdgit clone --depth 1 https://github.com/lanesket/llm.logWrote 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/lanesket/llm.log/arrange)<a href="https://agentmods.dev/skills/lanesket/llm.log/arrange"><img src="https://agentmods.dev/badge/skills/lanesket/llm.log/arrange.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 | $0.00030 | $0.01564 |
| Opus 5 | $0.00015 | $0.00782 |
| Sonnet 5 | $0.00006 | $0.00313 |
| Haiku 4.5 | $0.00003 | $0.00156 |
Grade A, and why
arrange 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.
This is a copy
94% identical to arrange — 12 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Assess and improve layout and spacing that feels monotonous, crowded, or structurally weak — turning generic arrangements into intentional, rhythmic compositions.
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 Layout
Analyze what's weak about the current spatial design:
-
Spacing:
- Is spacing consistent or arbitrary? (Random padding/margin values)
- Is all spacing the same? (Equal padding everywhere = no rhythm)
- Are related elements grouped tightly, with generous space between groups?
-
Visual hierarchy:
- Apply the squint test: blur your (metaphorical) eyes — can you still identify the most important element, second most important, and clear groupings?
- Is hierarchy achieved effectively? (Space and weight alone can be enough — but is the current approach working?)
- Does whitespace guide the eye to what matters?
-
Grid & structure:
- Is there a clear underlying structure, or does the layout feel random?
- Are identical card grids used everywhere? (Icon + heading + text, repeated endlessly)
- Is everything centered? (Left-aligned with asymmetric layouts feels more designed, but not a hard and fast rule)
-
Rhythm & variety:
- Does the layout have visual rhythm? (Alternating tight/generous spacing)
- Is every section structured the same way? (Monotonous repetition)
- Are there intentional moments of surprise or emphasis?
-
Density:
- Is the layout too cramped? (Not enough breathing room)
- Is the layout too sparse? (Excessive whitespace without purpose)
- Does density match the content type? (Data-dense UIs need tighter spacing; marketing pages need more air)
CRITICAL: Layout problems are often the root cause of interfaces feeling "off" even when colors and fonts are fine. Space is a design material — use it with intention.
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 · 127 lines · 30 tokens per session scan A 1a9112792634
arrange is a skill published in the GitHub repository lanesket/llm.log (22 stars, last pushed 5mo ago), licensed MIT. It adds 30 tokens to every session and 1,564 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to arrange, differing in 12 lines, and is treated as a copy.
Other skills, from other repositories
qa-design
UI/UX design audit and verification of web best practices, including responsive/mobile-first breakpoints. Trigger when the user wants to audit the design, verify the UI/UX, check responsive behaviour, or improve the user interface.
dev-frontend-design
Distinctive UI design with strong art direction. Trigger when the user wants to create an interface, a landing page, a visual component, or when frontend code creation is detected without a defined design direction.
dev-shadcn
Integration and customization of shadcn/ui (copy-paste React components, Radix + Tailwind). Trigger when the user wants to install shadcn, add components, customize the theme, or when shadcn/ui usage is detected in the project.
options
Present multiple design options as a vertical stack of anchored turns.
qa-test-planner
Generate comprehensive test plans, manual test cases, regression test suites, and bug reports for QA engineers. Includes Figma MCP integration for design validation.
visualize
Render a polished visual inline in the chat as part of your answer — a diagram, a chart, an interactive explainer, or a UI mockup. Load it proactively whenever an explanation would land better as a picture than as prose. Do not wait to be asked.