Borrowing it
Nothing to install: this file belongs to v0o0v/assetcache-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/v0o0v/assetcache-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/v0o0v/assetcache-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/v0o0v/assetcache-mcp/agents-md)<a href="https://agentmods.dev/instructions/v0o0v/assetcache-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/v0o0v/assetcache-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/v0o0v/assetcache-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/v0o0v/assetcache-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 | $0.01934 | $0.01934 |
| Opus 5.5 | $0.00774 | $0.00774 |
| Sonnet 5.5 | $0.00387 | $0.00387 |
| Haiku 4.5 | $0.00193 | $0.00193 |
Grade A, and why
assetcache-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.
assetcache-mcp
Purpose
AssetCacheMCP — Unity 게임 개발 중 Claude Code 같은 MCP 클라이언트가 보유 에셋(2D 스프라이트 / 스프라이트 시트 / 사운드 / Unity Asset Store .unitypackage)을 자연어로 요청하면 가장 적합한 후보를 돌려주는 MCP 서버 + 윈도우즈 트레이 상주 앱.
- 1차 배포 채널 — PyPI:
pipx install assetcache-mcp/uv tool install assetcache-mcp - 2차 배포 채널 — PyInstaller
--onefile.exe(GitHub Releases, 옵션) - 핵심 기술 — FastAPI 웹 UI + PySide6 트레이 + Ollama Gemma 4 (멀티 LLM 백엔드 6종) + SQLite WAL + watchdog
- 라이선스 — MIT
- PyPI 페이지 — https://pypi.org/project/assetcache-mcp/
Key Files
| File | Description |
|---|---|
CLAUDE.md |
Claude/AI 에이전트가 새 세션에서 가장 먼저 읽어야 할 프로젝트 가이드 |
DESIGN.md |
전체 아키텍처 / MCP 도구 명세 / 데이터 스키마 / ADR |
HANDOFF.md |
현재 인계 스냅샷 (다음 세션이 "어디까지 왔는지" 한 번에 파악) |
README.md |
일반 사용자용 안내 (PyPI 페이지로도 표시됨) |
LICENSE |
MIT 라이선스 |
pyproject.toml |
PyPI 패키지 메타·런타임/dev 의존성·콘솔 스크립트(assetcache, assetcache-mcp)·pytest 설정 |
uv.lock |
uv 잠금 파일 (재현 가능한 dev 환경) |
babel.cfg |
i18n 메시지 추출 설정 (pybabel extract) |
assetcache.spec |
PyInstaller .spec (단일 exe 빌드용, M8) |
.gitignore |
git ignore 룰 |
Subdirectories
| Directory | Purpose |
|---|---|
.github/ |
GitHub Actions workflows (PyPI Trusted Publishing) (see .github/AGENTS.md) |
assets/ |
패키지 정적 자원 (트레이 아이콘 등) (see assets/AGENTS.md) |
docs/ |
사용자/개발자 문서 + superpowers spec·plan 아카이브 (see docs/AGENTS.md) |
milestones/ |
마일스톤 plan/todo/verification 3종 세트 + ROADMAP / HISTORY (see milestones/AGENTS.md) |
scripts/ |
LIVE 검증·빌드 보조 스크립트 (see scripts/AGENTS.md) |
src/ |
Python 소스 (assetcache 패키지) (see src/AGENTS.md) |
tests/ |
pytest 스위트 — 1601 passed + 옵트인 마커 (see tests/AGENTS.md) |
tools/ |
개발자용 일회성 inspection 스크립트 (see tools/AGENTS.md) |
For AI Agents
Working In This Directory
- 새 세션 진입 시
CLAUDE.md→HANDOFF.md→DESIGN.md→milestones/순서로 읽는다. - 문서는 한글, 파일·폴더명은 영어 (CLAUDE.md §4.1). PR description / 커밋 메시지 / GitHub 노출 문서도 한글.
- 마일스톤 사이클은 TDD 5단계: plan → todo → red test → green impl → verification (CLAUDE.md §4.2). 코드 먼저 쓰고 테스트 끼워 맞추지 않는다.
- venv 는 저장소 바깥 (
%USERPROFILE%\.venvs\gah\). 작업 폴더 내부에 venv 만들면 권한 충돌. - Microsoft Store Python 금지.
C:\Users\v0o0v\AppData\Local\Programs\Python\Python312\정식 Python 사용. - 워크트리 사용 금지 — 메인 저장소에서 직접 branch checkout (memory feedback
feedback_no_worktrees). &&체이닝 금지 — PowerShell 5.1 미지원. 사용자에게 명령 안내 시 한 줄에 하나씩 분리.
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 · 1,934 tokens per session scan A ea4dea87a77b
assetcache-mcp AGENTS.md is an instructions file published in the GitHub repository v0o0v/assetcache-mcp (0 stars, last pushed 5mo ago), licensed MIT. It adds 1,934 tokens to every session, about $0.0077 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.
assetcache-mcp AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| assetcache-mcp AGENTS.mdv0o0v/assetcache-mcp | Instructions file | 0 | 5mo ago | MIT | A | 1,934 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |