Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add fabricioctelles/jump-skills --skill video-ninjagit clone --depth 1 https://github.com/fabricioctelles/jump-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/fabricioctelles/jump-skills/video-ninja)<a href="https://agentmods.dev/skills/fabricioctelles/jump-skills/video-ninja"><img src="https://agentmods.dev/badge/skills/fabricioctelles/jump-skills/video-ninja/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/fabricioctelles/jump-skills/video-ninja"><img src="https://agentmods.dev/badge/skills/fabricioctelles/jump-skills/video-ninja.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00367 | $0.08901 |
| Opus 5.5 | $0.00147 | $0.03560 |
| Sonnet 5.5 | $0.00073 | $0.01780 |
| Haiku 4.5 | $0.00037 | $0.00890 |
Grade A, and why
video-ninja scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 610 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Ninja
Jump Skill — Master orchestrator that routes video tasks to 55 globally installed skills from 10 upstream repositories, Anatomy from a locally synced repository, and one separately installed well-known source, plus a methodology layer distilled from the My-Little-Studio pipeline.
This ninja routes any video task to the installed skills. It is the required entry point: read it before choosing a video skill.
Why this ninja exists
The ten repositories below cover rendering, media processing, craft, frameworks, animation libraries, and art styles, but each is a silo. HyperFrames can render video, but it has no opinion on quality. motion-video-kit has a quality doctrine, but no renderer. Remotion is an alternative framework, not a plug-in for HyperFrames. opus-video-skills brings distinctive looks such as watercolor and kinetic typography, but not the other repositories' craft doctrine. ffmpeg-skill works on existing footage; it does not build compositions from scratch. gsap-skills teaches correct GSAP patterns but is not a video engine. dotlottie-web handles Lottie assets but does not compose them into video.
This ninja is the layer that chooses and connects them, and keeps track of what the ecosystem still lacks.
The golden rule
/hyperframesis the required entry point for video work. It chooses among the 10 workflows and loads domain skills as needed. This ninja does not replace that routing; it tells you which layer to use and when HyperFrames alone is not enough.
For video creation, editing, animation, or rendering, start with /hyperframes. Come back here for
the exceptions: Remotion, screen capture, craft doctrine, pipeline methods, and the YouTube Video
steer in references/youtube-video.md.
The ten sources
| Repository | Skills | Layer | Status |
|---|---|---|---|
heygen-com/hyperframes |
27 | Renderer + domain skills | Installed, Apache-2.0 |
kajisho5/ffmpeg-skill |
1 (42 tools) | Media processing | Installed, MIT |
echris6/motion-video-kit |
1 | Quality doctrine | Installed, MIT |
remotion-dev/skills |
12 | Alternative framework | Installed |
Rieranthony/product-film-skill |
1 | Screen capture | Installed, MIT |
tugrawork-creator/saas-motion-kit |
1 | Variety and anti-repetition | Installed |
tuzhechen2005/opus-video-skills |
2 | Procedural art styles | Installed, MIT |
wheresryan22/anatomy |
1 | Isometric technical figures for explainers | Synced locally, MIT |
greensock/gsap-skills |
8 | Official GSAP skills: timelines, ScrollTrigger, plugins, React | Installed, MIT |
LottieFiles/dotlottie-web |
1 | Modern Lottie player: Rust+WASM, state machines, themes | Installed, MIT |
What ships with it
10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago Changed · +32 lines · +47 tokens per session e3b72ddf5849
- 4d ago Changed · +72 lines · +17 tokens per session 19b536cc1bc4
- 5d ago Changed · +120 lines 68901248f4f6
- 11d ago Changed · +70 lines 57e52451d7d2
- 12d ago Changed · +43 lines d7fe893d6d15
- 13d ago First seen · 273 lines · 303 tokens per session scan A b00d204d4781
video-ninja is a skill published in the GitHub repository fabricioctelles/jump-skills (33 stars, last pushed yesterday), licensed MIT. It adds 367 tokens to every session and 8,901 once invoked, about $0.0015 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-03.
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