Borrowing it
Nothing to install: this file belongs to mrslbt/japan-ux-mcp. 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/mrslbt/japan-ux-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/mrslbt/japan-ux-mcpWrote 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/mrslbt/japan-ux-mcp/agents-md)<a href="https://agentmods.dev/instructions/mrslbt/japan-ux-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/mrslbt/japan-ux-mcp/agents-md/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/instructions/mrslbt/japan-ux-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/mrslbt/japan-ux-mcp/agents-md.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 | $0.01135 | $0.01135 |
| Opus 5.5 | $0.00454 | $0.00454 |
| Sonnet 5.5 | $0.00227 | $0.00227 |
| Haiku 4.5 | $0.00113 | $0.00113 |
Grade A, and why
japan-ux-mcp 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — japan-ux-mcp
Guide for AI coding agents (Claude Code, Cursor, Codex, Copilot…) working in this repo.
What this project is
Japan Design — an MCP server that enforces Japanese UI (typography, colour, layout) and UX (forms, keigo, trust, seasonal) conventions on real CSS/markup, so AI generates culturally correct Japanese interfaces instead of Western defaults.
- npm:
japan-ux-mcp· registry name:io.github.mrslbt/japan-ux - Local stdio server, read-only, deterministic, bundled data only — no API keys, no network.
- Flagship tool:
review_jp_ui— the front-end correctness enforcer (scores any UI against the Japanese standard with JLReq/JIS citations + fixes).
Quick commands
npm install # deps
npm run build # tsc → dist/ (must pass before commit)
npm test # build + node --test test/*.test.mjs (must pass before commit)
npm run smoke # build + a live MCP round-trip (lists tools, calls review_jp_ui)
npm run dev # tsc --watch
Pre-commit: npm run build && npm test. Both must pass. 18 tests today.
Architecture (the whole mental model)
src/
├── index.ts # McpServer — registers every tool/prompt/resource + server instructions
├── meta.ts # READONLY annotation + withTitles() param-title helper
├── tools/
│ ├── review-jp-ui.ts # FLAGSHIP — composes typography + colour + font-payload checks
│ ├── check-jp-typography.ts, audit-japan-ux.ts, transform-for-japan.ts, … (one file per tool)
└── data/ # bundled, offline rule data (typography-rules, visual-rules, keigo, seasonal, …)
test/ # integration + regression (.test.mjs) and smoke.mjs
11 tools · 10 prompts · 9 resources. The SDK is @modelcontextprotocol/sdk (1.29+), zod 4.
How to add or change a tool
Every tool is registered in index.ts with annotations + parameter titles. Use this exact shape — do not drop withTitles or READONLY:
import { READONLY, withTitles } from "./meta.js";
server.tool(
"your_tool_name", // snake_case, verb-first
"Verb-first description, ≤2 sentences, names the next tool to call.",
withTitles({
some_field: z.string().describe("English description with a concrete example."),
}),
READONLY, // every tool is read-only + deterministic
async (params) => {
const result = yourToolFn({ ...params });
return { content: [{ type: "text", text: JSON.stringify(result, null, 2) }] };
}
);
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.
- 2mo ago First seen · 88 lines · 1,135 tokens per session scan A ecd0768a2ec3
japan-ux-mcp AGENTS.md is an instructions file published in the GitHub repository mrslbt/japan-ux-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 1,135 tokens to every session, about $0.0045 per session on Opus 5.5. 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 2026-08-31.
japan-ux-mcp AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| japan-ux-mcp AGENTS.mdmrslbt/japan-ux-mcp | Instructions file | 0 | 2mo ago | MIT | A | 1,135 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |