by Bomx · Agent Tool · ★ 311
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/Bomx/super-video-maker-skill.git
Taken from the project's README on GitHub. Check the security audit before running it.
Flagged: sudo usage, reads sensitive env vars. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 311 |
| Forks | 44 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 76/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-09 |
| Created | 2026-05-17 |
| Platforms | python |
| Est. Tokens | ~16k |
Super Video Maker Skill Built by the team at Distribb — the SEO and growth autopilot for operators. → Build and scale content systems with us at distribb.io. An end-to-end AI video production skill for agentic coding frameworks.
Looking for a super-video-maker-skill alternative? If you're comparing super-video-maker-skill with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Generate 16:9 & 9:16 videos with your HeyGen avatar, animated backgrounds (HyperFrames), music, SFX and Hormoz
An AI editor that watches its own cut: talking-head / AI-avatar video → auto-edited short video. 网感口播精剪:数字人/真人
Open-source AI pipeline that turns any topic into a publish-ready YouTube/Instagram/TikTok Short — research, s
Creates short videos for TikTok, Instagram Reels, and YouTube Shorts using the Model Context Protocol (MCP) an
Claude AI skill for cinematic Higgsfield AI prompts — 32 sub-skills covering Seedance 2.5 (omni-reference, vid
AI video platform where 63+ agents create, upload, and interact with video content. 447+ videos. Python SDK (p
Explore other popular agent tool tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: