moneyprinterturbo-video

harry0703/MoneyPrinterTurbo · Agent Skill

Creates finished videos from a topic, title, idea, or script using MoneyPrinterTurbo. Supports various formats and video types.

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Overview

Publisherharry0703Community
Repositoryharry0703/MoneyPrinterTurbo ↗
Skill folderskill
Stars121,447
Bundled files1
LicenseMIT
Last updatedSeptember 1, 2026
LinksSkill source ↗ · Repository ↗

Mozgi check

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Security
medium risk · 2 points need attention
Compatibility
needs extra software
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Installation

A skill is a folder with a SKILL.md file. Pick your agent and run the commands in a terminal (macOS, Linux or Git Bash on Windows) from your project root.

Copy the prompt into Claude, Codex or another assistant: it will review the skill and install it for you.

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.

Review the source files

1 file Download Zip

Read SKILL.md and any companion files before deciding whether to install. Click a file to preview it.

SKILL.md contents

Original author text · read-only

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.

Frequently asked questions

What does the moneyprinterturbo-video skill do?

Creates finished videos from a topic, title, idea, or script using MoneyPrinterTurbo. Supports various formats and video types.

How do I install moneyprinterturbo-video?

Open the “Installation” block on this page and pick your agent — Claude Code, Codex, Cursor or Gemini CLI — for ready-made commands that copy the skill folder to the right place. Or copy the prompt from the “Via assistant” tab and let the assistant review and install the skill.

Which AI models work with moneyprinterturbo-video?

Skills are plain Markdown instructions (the Agent Skills format), so moneyprinterturbo-video works with any agent that reads SKILL.md: Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and more. The model loads the instructions only when a task matches the skill's description.

Is moneyprinterturbo-video free?

The skill is published openly by harry0703 under the MIT license. The skill itself costs nothing — you only pay your AI provider for the tokens you use.

Is it safe to install skills?

A skill is a set of instructions your agent will follow, so read SKILL.md and its companion files before installing. Scripts in the skill folder only run if your agent runs them — keep an eye on what it does and do not grant unnecessary permissions.

How is a skill different from an MCP server or a plugin?

An MCP server or plugin gives the model new tools — code that runs and returns a result. A skill gives it knowledge and process: how to approach a task, which steps to follow and what good output looks like. It needs no server or API key.

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