make-interfaces-feel-better is an agent skill that guides coding agents on visual interface details such as animation, typography, icons, hover states, spacing, shadows, and touch targets. It is for developers who want agents to improve the feel and polish of user interfaces. The catalogue entries are instructions and a skill for using this workflow.
Borrowing it
Nothing to install: this file belongs to jakubkrehel/make-interfaces-feel-better. 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/jakubkrehel/make-interfaces-feel-better/main/AGENTS.mdgit clone --depth 1 https://github.com/jakubkrehel/make-interfaces-feel-betterWrote 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/instructions/jakubkrehel/make-interfaces-feel-better/agents-md)<a href="https://agentmods.dev/instructions/jakubkrehel/make-interfaces-feel-better/agents-md"><img src="https://agentmods.dev/badge/instructions/jakubkrehel/make-interfaces-feel-better/agents-md.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 | $0.00397 | $0.00397 |
| Opus 5 | $0.00198 | $0.00198 |
| Sonnet 5 | $0.00079 | $0.00079 |
| Haiku 4.5 | $0.00040 | $0.00040 |
Grade A, and why
make-interfaces-feel-better AGENTS.md 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- make-interfaces-feel-better CLAUDE.md — 98% identical, 4 lines differ
What it actually says
AGENTS.md
This file provides guidance to Codex (Codex.ai/code) when working with code in this repository.
What this repository is
A standalone agent skill for reviewing and improving interface polish, published for installation via npx skills add jakubkrehel/make-interfaces-feel-better. It is documentation-only; there is no build, lint, or test tooling.
Structure
The skill lives in skills/make-interfaces-feel-better/:
SKILL.mdis the entry point. Its YAML frontmatter containsnameanddescription. The body contains the philosophy, a Quick Reference table, numbered Core Principles, a Common Mistakes table, and a Review Output Format section.typography.md,surfaces.md,animations.md,icons.md, andperformance.mdcontain detailed guidance beyond the entry-point principles. Link to them from the Quick Reference table using relative paths.agents/openai.yamlcontains UI metadata and must stay aligned with the skill's scope.
Authoring conventions
- Keep the skill focused on interface-polish details. Do not expand it into a complete accessibility, layout, color-system, or UX-writing audit.
- Make principles prescriptive and specific, but scope them when context changes the correct answer. Avoid unconditional rules when reduced motion, interaction frequency, semantics, or an existing design system requires a different approach.
- Match the target project's existing styling system (Tailwind vs. plain CSS vs. CSS-in-JS) rather than imposing one.
- Keep detailed recipes and code examples in the reference files; keep only essential selection guidance in
SKILL.md. - Update the frontmatter description and
agents/openai.yamlwhen the skill's discovery scope changes. - Preserve the
quickandfullreview modes, finding caps, evidence requirements, rejected candidates, verification, and verdict.
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 · 25 lines · 397 tokens per session scan A 0017072d73b3
make-interfaces-feel-better AGENTS.md is an instructions file published in the GitHub repository jakubkrehel/make-interfaces-feel-better (3,388 stars, last pushed 9d ago), licensed MIT. It adds 397 tokens to every session, about $0.0020 per session on Opus 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.