No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by abhinavshrivastava950 · Agent Tool · ★ 22
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Montara safe to install? View the security audit →
Montara is an AI-native, renderer-agnostic autonomous video production operating system that understands content before it edits it, plans visual storytelling through a Timeline IR, and orchestrates specialized renderers, skills, and agents to produce production-quality videos with minimal human intervention.
| Stars | 22 |
| Forks | 3 |
| Language | Python |
| Category | Agent Tool |
| License | AGPL-3.0 |
| Quality Score | 59.2498505544225/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-28 |
| Created | 2026-07-06 |
| Platforms | python |
| Est. Tokens | ~20k |
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Montara is Montara is an AI-native, renderer-agnostic autonomous video production operating system that understands content before it edits it, plans visual storytelling through a Timeline IR, and orchestrates s. It is categorized as a Agent Tool with 22 GitHub stars.
Montara is primarily written in Python.
You can find installation instructions and usage details in the Montara GitHub repository at github.com/abhinavshrivastava950/Montara. The project has 22 stars and 3 forks, indicating an active community.
Montara is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
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.
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