OpenMontage — security grade SAFE, quality 67/100

Security audit verdict: SAFE · quality 67/100

Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by calesthio · Agent Tool · ★ 56.3k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is OpenMontage safe to install? View the security audit →

About OpenMontage

OpenMontage The first open-source, agentic video production system. Paste A Video  ·  Quick Start  ·  Try These Prompts  ·  Pipelines  ·  How It Works  ·  Providers  ·  Agent Guide Follow The Build Turn your AI coding assistant into a full video producti

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Quick Facts

Stars56,323
Forks7,069
LanguagePython
CategoryAgent Tool
LicenseAGPL-3.0
Quality Score66.6983465689076/100
Open Issues307
Last Updated2026-09-06
Created2026-03-29
Platformsclaude-code, python
Est. Tokens~21k

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Frequently Asked Questions

What is OpenMontage?

OpenMontage is World's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge files. Turn your AI coding assistant into a full video produc. It is categorized as a Agent Tool with 56.3k GitHub stars.

What programming language is OpenMontage written in?

OpenMontage is primarily written in Python. It covers topics such as agent, agentic-ai, ai.

How do I install or use OpenMontage?

You can find installation instructions and usage details in the OpenMontage GitHub repository at github.com/calesthio/OpenMontage. The project has 56.3k stars and 7069 forks, indicating an active community.

What license does OpenMontage use?

OpenMontage is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to OpenMontage?

The top alternatives to OpenMontage on Agent Skills Hub include unsloth, unity-mcp, ragflow. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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