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/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/lweight/xbrush-api-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/lweight/xbrush-api-mcp/claude-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 | $0.09975 | $0.09975 |
| Opus 5.5 | $0.03990 | $0.03990 |
| Sonnet 5.5 | $0.01995 | $0.01995 |
| Haiku 4.5 | $0.00997 | $0.00997 |
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 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 — 208 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, 13개 도구 모듈 등록 (37 tools)
├── constants.ts ← API 베이스 URL, 타임아웃 상수, 응답 크기 한도
├── types.ts ← 공통 타입 정의 (output 형태·모델 constraints·동기 유틸 응답)
├── tool-filter.ts ← XBRUSH_DISABLED_TOOLS 환경변수 처리
├── schemas/ ← Zod 입력 스키마
│ ├── audio.ts ← tts(+timestamps) / music / sound-effect / stt
│ ├── chat.ts ← chat completions (LLM) — response_format 포함
│ ├── file-upload.ts
│ ├── image.ts ← generate/edit/upscale/remove-bg/outpaint/inpaint/enhance/layer-split + segment-detect/vision/product-lookup
│ ├── lip-sync.ts ← 영상/사진(talking photo) lip-sync
│ ├── lora.ts ← lora_train (LoRA 학습)
│ ├── media.ts ← media ffmpeg / image-process / graph / info
│ ├── models.ts
│ ├── moderation.ts ← content_moderate (image/video, threshold)
│ ├── requests.ts ← get/list(domain·action·status 필터)
│ ├── video.ts ← generate / upscale / extend / retake / edit / vision
│ ├── voice.ts ← list_voices(+voice_id 상세) / voice_clone
│ └── watermark.ts ← strength
├── services/
│ ├── dispatch.ts ← submitAsync(async 단일 경로) + callSync(동기 유틸 전용)
│ ├── file-upload.ts ← 파일 업로드 (presign / direct / auto) + MIME 맵
│ └── xbrush-client.ts ← HTTP 클라이언트 + 에러 매핑 + 기본 포맷터
└── tools/ ← MCP 도구 핸들러
├── audio.ts ← tts_generate(with_timestamps→/v1/tts-wt), music_generate, sound_effect_generate, stt_transcribe
├── chat.ts ← xbrush_chat (동기 LLM)
├── file-upload.ts ← xbrush_file_upload
├── image.ts ← generate, edit, upscale, remove_bg, outpaint, inpaint, enhance, layer_split (async) + segment_detect, vision, product_lookup (동기)
├── lip-sync.ts ← xbrush_video_lip_sync
├── lora.ts ← xbrush_lora_train
├── media.ts ← media_ffmpeg, media_image_process, media_graph (async) + media_info (동기, 무료)
├── models.ts ← xbrush_list_models
├── moderation.ts ← xbrush_content_moderate
├── requests.ts ← get_request(범용 output 렌더), list_requests(필터), check_health
├── video.ts ← video_generate, video_upscale, video_extend, video_retake, video_edit, video_vision
├── voice.ts ← xbrush_list_voices, xbrush_voice_clone (동기)
└── watermark.ts ← xbrush_watermark_add
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 Changed · +40 lines · +4,026 tokens per session 35881a09bf08
- 2mo 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 2mo ago), licensed MIT. It adds 9,975 tokens to every session, about $0.0399 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.
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