moneyprinterturbo-video

harry0703/MoneyPrinterTurbo · Agent Skill

使用 MoneyPrinterTurbo 從主題、標題、想法或指令碼建立成品影片。支援各種格式和影片型別。

前往安裝 ↓

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發布者harry0703社群
儲存庫harry0703/MoneyPrinterTurbo ↗
技能資料夾skill
星121,447
附帶檔案1
授權MIT
最近更新2026年9月1日
連結技能原始碼 ↗ · 儲存庫 ↗

Mozgi 檢查

我們在技能檔案中發現的內容。詳細資訊需訂閱。

安全性
中等風險 · 發現 2 個需要注意的地方
相容性
需要額外軟體
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安裝

技能就是一個含 SKILL.md 的資料夾。選擇你的代理,在專案根目錄的終端機(macOS、Linux 或 Windows 的 Git Bash)執行指令。

把提示貼到 Claude、Codex 或其他助理:它會自行檢查並安裝技能。

Install the “moneyprinterturbo-video” skill from mozgi.io (https://mozgi.io/skills/moneyprinterturbo-video/) for me.

1. Download the archive: https://mozgi.io/skills/moneyprinterturbo-video/download
   If it fails, take the skill folder from the source: https://github.com/harry0703/MoneyPrinterTurbo/tree/main/docs/skill
2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me.
3. Put the “moneyprinterturbo-video” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.).
4. Make sure <skills folder>/moneyprinterturbo-video/SKILL.md exists.
5. Briefly tell me what this skill does and offer to try it on my task.

If you cannot do a step yourself, tell me what to click or type.

技能檔案

1 個檔案 下載 ZIP

安裝前請先檢視 SKILL.md 與相關檔案。點擊檔案即可預覽。

SKILL.md 內容

作者原文 · 唯讀

MoneyPrinterTurbo Video Generation

The user only needs to provide a video topic or script. Complete installation, configuration reuse, generation, waiting, and final MP4 delivery automatically. Do not stop after giving instructions or commands.

Required Behavior

1. Ask the user only for required API credentials that are missing, rejected, or unusable. Combine all required credentials into one request.

2. Do not ask for confirmation before installing, generating, waiting, using defaults, or returning the result.

3. Do not create or repeatedly update a detailed plan for a standard generation request. Send one short progress update and execute.

4. Run the helper as one foreground command with a timeout of at least 20 minutes.

5. Never poll with sleep, echo, ps, repeated ls, or repeated tail. If the terminal returns a resumable session ID, continue waiting on that same session.

6. Do not read the full log after success. Read only the short reported error or the relevant log tail after failure.

7. Never print API keys, tokens, the full config.toml, or credential-bearing configuration fragments.

Defaults

Unless the user requests otherwise, generate one Chinese 9:16 portrait video with Pexels footage, the default Chinese Edge TTS voice, subtitles, and background music. Install MoneyPrinterTurbo under the user's home directory.

Execution

1. Locate the helper

Resolve SKILL_DIR from this SKILL.md file. The helper is the adjacent mpt_agent.py. Set the terminal tool's working directory to SKILL_DIR and invoke the helper by its relative filename. Do not put the absolute helper path in the command, and do not run an extra ls or dir check.

This is required on Windows because some agent terminal validators remove backslashes from absolute paths embedded in commands. Using mpt_agent.py with workdir=SKILL_DIR avoids that failure and works on both macOS and Windows.

If the client loaded only the remote SKILL.md, download the helper from the official repository to a temporary directory, then use that temporary directory as the command working directory:

https://raw.githubusercontent.com/harry0703/MoneyPrinterTurbo/main/docs/skill/mpt_agent.py

2. Run the helper

Do not run a separate uv --version preflight. Run the helper directly. If the shell explicitly reports that uv is missing, install uv and retry the same helper command once.

macOS uv installation:

curl -LsSf https://astral.sh/uv/install.sh | sh

Windows PowerShell uv installation:

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Use this foreground command with workdir=SKILL_DIR and a timeout of at least 20 minutes:

uv run --no-project --python 3.11 python mpt_agent.py --subject "<video topic>"

On Windows, do not try absolute backslash paths, absolute forward-slash paths, or copies in the workspace before this relative command. If a terminal tool reports referenced_script_path_missing, verify that its working directory is exactly SKILL_DIR and retry the relative command once. Do not cycle through path variants.

Do not use Docker, Conda, system pip, or a manually managed virtual environment.

Exit Handling

Exit code 0: deliver the result

Successful output has this form:

MPT_RESULT
VIDEO_FILE=<absolute path>/final-1.mp4
TASK_DIR=<absolute path>/storage/tasks/<task_id>
LOG_FILE=<absolute path>/run-<task_id>.log
RESULT_FILE=<absolute path>/latest-result.json

mpt_agent.py emits VIDEO_FILE only after confirming that the file exists and is non-empty. Do not run another ls, stat, or file validation command.

If the terminal reports exitCode=0 but truncates the output or returns a history-file reference without MPT_RESULT, do not infer failure and do not inspect old logs. Read this file once:

~/MoneyPrinterTurbo/.agent-logs/moneyprinterturbo-video/latest-result.json

Treat status=completed as success. Return only the absolute video path and a concise description, for example:

The video is ready.
Topic: ...
Video file: /absolute/path/to/final-1.mp4
Summary: Chinese portrait video with voice-over, subtitles, and background music.

Exit code 10: request credentials once

MPT_NEEDS_INPUT includes only the required fields, recommended LLM providers and signup links, custom OpenAI-compatible requirements, and material-provider signup links. Ask only for the listed values and do not request credentials already found in config.toml.

After the user responds, rerun the same foreground command with only the required environment variables:

MPT_LLM_PROVIDER
MPT_LLM_API_KEY
MPT_LLM_BASE_URL
MPT_LLM_MODEL_NAME
MPT_PEXELS_API_KEY
MPT_VOLCENGINE_ARK_API_KEY
MPT_OFOX_API_KEY
MPT_METASO_MINIMAX_API_KEY

When SEEDANCE_CHARGE_CONFIRMATION_REQUIRED is present, explain that every

generated Seedance clip creates a paid Ark task. Only after the user explicitly

confirms, rerun with --confirm-seedance-charge; never add this flag silently.

When OFOX_CHARGE_CONFIRMATION_REQUIRED is present, explain that every

generated OFox clip creates a paid task. Only after the user explicitly

confirms, rerun with --confirm-ofox-charge; never add this flag silently.

When METASO_MINIMAX_CHARGE_CONFIRMATION_REQUIRED is present, explain that

every generated MiniMax H3 clip creates a paid Metaso task. Only after the user

explicitly confirms, rerun with --confirm-metaso-minimax-charge; never add

this flag silently.

Exit code 1: repair or report

Use MPT_ERROR and LOG_FILE to repair a recoverable problem and retry once. Ask the user only if the repair requires a new API key. If the retry fails, report the failed stage, a short error, and the log path.

A terminal-tool path validation error is not a video-generation failure because the helper did not start. Correct the working directory and retry the relative command once. Never ask the user to copy mpt_agent.py, run commands manually, or confirm whether the agent should continue.

Configuration and Background Fallback

The helper may read the complete local config.toml to reuse existing settings, but it must never print its contents. It reuses a working LLM provider automatically and validates configured Pexels keys through the authenticated My Collections endpoint before generation.

Use background mode only if the agent platform cannot wait for a foreground process. Wait for the platform's process-completion notification without polling, then read latest-result.json once.

Scope

  • Support macOS and Windows only.
  • Use uv and the MoneyPrinterTurbo CLI only.
  • Do not start Docker, WebUI, or API services.
  • Do not run multiple video jobs concurrently.
  • Pass additional video requirements after --. Run cli.py --help once only when an unfamiliar option must be verified.

常見問題

moneyprinterturbo-video 技能有什麼用途?

使用 MoneyPrinterTurbo 從主題、標題、想法或指令碼建立成品影片。支援各種格式和影片型別。

如何安裝 moneyprinterturbo-video?

打開本頁的「安裝」區塊並選擇你的代理 — Claude Code、Codex、Cursor 或 Gemini CLI:那裡有把技能資料夾複製到正確位置的現成指令。也可以複製「透過助理」分頁中的提示,讓助理自行檢查並安裝技能。

moneyprinterturbo-video 適用哪些 AI 模型?

技能是純 Markdown 指示(Agent Skills 格式),因此 moneyprinterturbo-video 適用任何讀取 SKILL.md 的代理:Claude Code、Codex、Cursor、Gemini CLI、GitHub Copilot、OpenCode 等。只有在任務符合技能描述時,模型才會載入指示。

moneyprinterturbo-video 是免費的嗎?

此技能由 harry0703 公開發布,採用 MIT 授權。技能本身免費 — 你只需向 AI 供應商支付實際使用的 token 費用。

安裝技能安全嗎?

技能是代理會遵循的指示,安裝前請閱讀 SKILL.md 及相關檔案。技能資料夾中的腳本只有在代理執行時才會運行 — 留意它的動作,不要授予多餘權限。

技能和 MCP 伺服器或外掛有何不同?

MCP 伺服器或外掛為模型提供新工具 — 會執行並回傳結果的程式碼。技能提供的是知識與流程:如何處理任務、要遵循哪些步驟、好的成果長什麼樣子。它不需要伺服器或 API 金鑰。

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