Borrowing it
Nothing to install: this file belongs to PyTorchKR/terms-kr. 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/PyTorchKR/terms-kr/main/AGENTS.mdgit clone --depth 1 https://github.com/PyTorchKR/terms-krWrote 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/pytorchkr/terms-kr/agents-md)<a href="https://agentmods.dev/instructions/pytorchkr/terms-kr/agents-md"><img src="https://agentmods.dev/badge/instructions/pytorchkr/terms-kr/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/pytorchkr/terms-kr/agents-md"><img src="https://agentmods.dev/badge/instructions/pytorchkr/terms-kr/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 | $0.01243 | $0.01243 |
| Opus 5.5 | $0.00497 | $0.00497 |
| Sonnet 5.5 | $0.00249 | $0.00249 |
| Haiku 4.5 | $0.00124 | $0.00124 |
Grade A, and why
terms-kr 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 1mo 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides guidance to AI coding agents working in this repository.
Project Context
AI/ML 용어집 - 빠르게 변화하는 AI/ML 분야의 용어를 표준화하여 사람과 AI 번역 도구 모두가 일관된 한국어 번역을 사용할 수 있도록 하는 오픈소스 프로젝트. 파이토치 한국 사용자 모임(PyTorchKR) 운영. 현재 PoC 단계이며, 수록된 용어 데이터는 AI 생성 초안.
Repository: PyTorchKR/terms-kr (branch: main)
Commands
npm install # Install dependencies
npm run dev # Dev server (http://localhost:5173), auto-copies data/ to public/data/
npm run build # TypeScript check + Vite production build
npm run lint # ESLint
npm run preview # Preview production build
No test framework is configured. Validation runs in CI via inline Node script in .github/workflows/deploy.yml.
Architecture
Static SPA for AI/ML Korean terminology glossary. No backend; all data is JSON fetched at runtime.
Stack: React 19 + TypeScript + Vite + MUI v7, deployed to GitHub Pages (terms.kr).
Routing (App.tsx): HashRouter with lazy-loaded pages.
/->SearchPage(search + alphabet filter)/term/:termId->TermDetailPage(accordion per meaning, related terms)/about->AboutPage
Data flow: data/index.json lists alphabet JSON files (a.json..w.json). At build time, prebuild copies data/ -> public/data/. At runtime, loadTerms.ts fetches all files in parallel via Promise.all, flattens, and sorts. The useTerms hook caches this; useSearch debounces (200ms) and filters across term, korean, synonyms.
Homepage: SearchPage embeds HeroSection (stats) + AlphabetNavigation (A-Z chips) + TermCard grid. The Layout component wraps non-home pages with AppBar + footer; home page hides AppBar.
Data Model
Defined in src/types/term.ts:
interface TermExample { en: string; ko: string; source?: string }
interface TermMeaning {
korean: string // Required
definition: string // Required
examples: (string | TermExample)[] // Union type for backward compat
synonyms: string[]
}
interface Term {
term: string
meanings: TermMeaning[]
issueNumber?: number // GitHub Issue number for traceability
notes?: string // Editorial notes (why this translation was chosen)
}
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.
- 1mo ago Changed · -17 tokens per session af69fc827959
- 1mo ago First seen · 109 lines · 1,260 tokens per session scan A f28e7a830899
terms-kr AGENTS.md is an instructions file published in the GitHub repository PyTorchKR/terms-kr (6 stars, last pushed today), licensed MIT. It adds 1,243 tokens to every session, about $0.0050 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.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.