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 agentmods add skills/blencorp/claude-code-kit/muinpx skills add blencorp/claude-code-kit --skill muigit clone --depth 1 https://github.com/blencorp/claude-code-kitWhat 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 | $0.00048 | $0.02553 |
| Opus 5 | $0.00024 | $0.01277 |
| Sonnet 5 | $0.00010 | $0.00511 |
| Haiku 4.5 | $0.00005 | $0.00255 |
Grade A, and why
mui 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 2d 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
100% identical to mui — 0 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 — 505 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MUI v7 Patterns
Purpose
Material-UI v7 (released March 2025) patterns for component usage, styling with sx prop, theme integration, and responsive design.
Note: MUI v7 breaking changes from v6:
- Deep imports no longer work - use package exports field
onBackdropClickremoved from Modal - useonCloseinstead- All components now use standardized
slotsandslotPropspattern - CSS layers support via
enableCssLayerconfig (works with Tailwind v4)
When to Use This Skill
- Styling components with MUI sx prop
- Using MUI components (Box, Grid, Paper, Typography, etc.)
- Theme customization and usage
- Responsive design with MUI breakpoints
- MUI-specific utilities and hooks
Quick Start
Basic MUI Component
import { Box, Typography, Button, Paper } from '@mui/material';
import type { SxProps, Theme } from '@mui/material';
const styles: Record<string, SxProps<Theme>> = {
container: {
p: 2,
display: 'flex',
flexDirection: 'column',
gap: 2,
},
header: {
mb: 3,
fontSize: '1.5rem',
fontWeight: 600,
},
};
function MyComponent() {
return (
<Paper sx={styles.container}>
<Typography sx={styles.header}>
Title
</Typography>
<Button variant="contained">
Action
</Button>
</Paper>
);
}
Styling Patterns
Inline Styles (< 100 lines)
For components with simple styling, define styles at the top:
import type { SxProps, Theme } from '@mui/material';
const componentStyles: Record<string, SxProps<Theme>> = {
container: {
p: 2,
display: 'flex',
flexDirection: 'column',
},
header: {
mb: 2,
color: 'primary.main',
},
button: {
mt: 'auto',
alignSelf: 'flex-end',
},
};
function Component() {
return (
<Box sx={componentStyles.container}>
<Typography sx={componentStyles.header}>Header</Typography>
<Button sx={componentStyles.button}>Action</Button>
</Box>
);
}
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 505 lines · 48 tokens per session scan A d1a9a06753be
mui is a skill published in the GitHub repository blencorp/claude-code-kit (101 stars, last pushed 9mo ago), licensed MIT. It adds 48 tokens to every session and 2,553 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to mui, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
agent-host-chat-contributions
Build and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.