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 bangtutorial · Codex Skill · ★ 322
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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Bang Motion An agent skill for building motion graphics in the browser — product openers and promos, bumpers and idents, channel intros, kinetic typography, lower thirds, and explainers. Output is a single — double-click to play. Autoplay, loop, no player chrome. Why Ask an AI agent for "a video" and you usually get slides: one section per idea, a photo, a title, a fade between them. Bang Motion encodes what a working motion designer would insist on — one continuous world, a camera that actually moves, a subject that persists across scenes, numbers that live inside the scene instead of floating on top — as structural checks an agent can verify in its own code, backed by starters that make the right architecture the path of least resistance. What you get General motion graphics, not just explainers: openers, promos, bumpers, idents, intros, kinetic typography, titles — with a shared camer
| Stars | 322 |
| Forks | 54 |
| Language | HTML |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 70.1666653273455/100 |
| Last Updated | 2026-09-15 |
| Created | 2026-09-05 |
| Platforms | browser, claude-code, cli, codex, gemini |
| Est. Tokens | ~18k |
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bang-motion is Agent skill for browser motion graphics — openers, promos, bumpers, kinetic typography, and five explainer styles that move like video, not slides. Single index.html output. Works with Claude Code, Co. It is categorized as a Codex Skill with 322 GitHub stars.
bang-motion is primarily written in HTML.
You can find installation instructions and usage details in the bang-motion GitHub repository at github.com/bangtutorial/bang-motion. The project has 322 stars and 54 forks, indicating an active community.
bang-motion is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to bang-motion on Agent Skills Hub include skillkit, Skills-Manager, ai-maestro. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: