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 mirage-hq · Agent Tool · ★ 78
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Tesseract safe to install? View the security audit →
The creative suite built for your AI agent. Editing, motion, and sound. Connected in one local project. Get started · What you can make · Downloads · Mirage Tesseract brings professional creative tools into your agent workflow. Work with video layers, compositions, keyframes, and audio in one connected project. Preview the result, direct a revision, and render the finished video locally. Get started macOS, Windows, or Linux x8664, including compatible cloud-agent environments. Your agent needs file and command access. See the installation guide for platform requirements. Install with one command Choose both Tesseract skills and your agent. Requires Node.js/npm for th
| Stars | 78 |
| Forks | 4 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 61.3968397097634/100 |
| Last Updated | 2026-09-25 |
| Created | 2026-09-16 |
| Platforms | cli, python |
| Est. Tokens | ~14k |
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Tesseract is Tesseract by Mirage — CLI releases and agent skills for creating and editing videos.. It is categorized as a Agent Tool with 78 GitHub stars.
Tesseract is primarily written in Python.
You can find installation instructions and usage details in the Tesseract GitHub repository at github.com/mirage-hq/Tesseract. The project has 78 stars and 4 forks, indicating an active community.
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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