Borrowing it
Nothing to install: this file belongs to lweight/xbrush-api-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/lweight/xbrush-api-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/lweight/xbrush-api-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/lweight/xbrush-api-mcp/claude-md)<a href="https://agentmods.dev/instructions/lweight/xbrush-api-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/lweight/xbrush-api-mcp/claude-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 | $0.05949 | $0.05949 |
| Opus 5 | $0.02975 | $0.02975 |
| Sonnet 5 | $0.01190 | $0.01190 |
| Haiku 4.5 | $0.00595 | $0.00595 |
Grade A, and why
xbrush-api-mcp CLAUDE.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 6d 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
@lweight/xbrush-api-mcp
프로젝트 개요
- 목적: XBrush AI 미디어 생성 API용 MCP 서버
- 회사: 라이트웨이트(주) (Lightweight Inc.)
- npm:
@lweight/xbrush-api-mcp(public, MIT) - GitHub:
lweight/xbrush-api-mcp
구조
src/
├── index.ts ← 서버 엔트리, 11개 도구 모듈 등록
├── constants.ts ← API 베이스 URL, 타임아웃 상수, 응답 크기 한도
├── types.ts ← 공통 타입 정의
├── tool-filter.ts ← XBRUSH_DISABLED_TOOLS 환경변수 처리
├── schemas/ ← Zod 입력 스키마
│ ├── audio.ts ← tts / music / sound-effect
│ ├── chat.ts ← chat completions (LLM)
│ ├── file-upload.ts
│ ├── image.ts
│ ├── lip-sync.ts ← 영상/사진(talking photo) lip-sync
│ ├── models.ts
│ ├── moderation.ts ← content_moderate (image/video)
│ ├── requests.ts
│ ├── video.ts ← generate / upscale / extend / retake
│ ├── voice.ts ← list_voices
│ └── watermark.ts
├── services/
│ ├── dispatch.ts ← submitAsync 헬퍼 (async 단일 경로)
│ ├── file-upload.ts ← 파일 업로드 (presign / direct / auto)
│ └── xbrush-client.ts ← HTTP 클라이언트 + 에러 매핑 + 기본 포맷터
└── tools/ ← MCP 도구 핸들러
├── audio.ts ← tts_generate, music_generate, sound_effect_generate
├── chat.ts ← xbrush_chat (동기 LLM — async-only 규칙의 유일한 예외)
├── file-upload.ts ← xbrush_file_upload
├── image.ts ← generate, edit, upscale, remove_bg
├── lip-sync.ts ← xbrush_video_lip_sync
├── models.ts ← xbrush_list_models
├── moderation.ts ← xbrush_content_moderate
├── requests.ts ← get_request, list_requests, check_health
├── video.ts ← video_generate, video_upscale, video_extend, video_retake
├── voice.ts ← xbrush_list_voices
└── watermark.ts ← xbrush_watermark_add
요구사항
- Node.js >= 18
개발
npm install # 의존성 설치
npm run build # TypeScript 컴파일 (tsc)
npm run dev # watch 모드
npm test # Vitest 전체 실행
환경변수
XBRUSH_API_KEY(필수) — https://xbrush.run/api-keys 에서 발급XBRUSH_BASE_URL(선택) — 기본값https://api.xbrush.runXBRUSH_DISABLED_TOOLS(선택) — 쉼표 구분 도구 이름. 해당 도구만 선택적으로 비활성화 (운영 안전장치).
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.
- 6d ago First seen · 168 lines · 5,949 tokens per session scan A 7f5eb9dc9955
xbrush-api-mcp CLAUDE.md is an instructions file published in the GitHub repository lweight/xbrush-api-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 5,949 tokens to every session, about $0.0297 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 2026-08-31.
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