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 iart-ai/explainer-video-skills --skill explainer-videogit clone --depth 1 https://github.com/iart-ai/explainer-video-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/iart-ai/explainer-video-skills/explainer-video)<a href="https://agentmods.dev/skills/iart-ai/explainer-video-skills/explainer-video"><img src="https://agentmods.dev/badge/skills/iart-ai/explainer-video-skills/explainer-video/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/iart-ai/explainer-video-skills/explainer-video"><img src="https://agentmods.dev/badge/skills/iart-ai/explainer-video-skills/explainer-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00092 | $0.02519 |
| Opus 5 | $0.00046 | $0.01260 |
| Sonnet 5 | $0.00018 | $0.00504 |
| Haiku 4.5 | $0.00009 | $0.00252 |
Grade A, and why
explainer-video 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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- explainer-video — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Explainer Video
Turn one message into a paced, narrated 30–90s short. Run the full pipeline: script → storyboard → scene build → narration/caption sync → edit → polish, with a consistent style system throughout.
When to use
- Produce a 30–90s product, how-it-works, onboarding, or concept video.
- Go from a raw idea or feature to a script, storyboard, and assembled piece.
- Sync narration to visuals and add captions for muted playback.
Story structure (decide this first)
An explainer is an argument, not a feature tour. Before any pipeline step, lock the narrative so every later choice serves it.
- One core idea. A single sentence the viewer should be able to repeat afterward. If you can't state it in one line, the video has no spine — cut scope until you can. Everything that doesn't serve that idea gets dropped, not shrunk.
- Script-first. The VO is the spine; visuals illustrate the line being spoken, never lead it. Write and time the words before you storyboard or animate — it is far cheaper to cut a sentence than a built scene.
- Earn the "how" with stakes. Don't jump from problem to mechanism. Make the viewer feel the cost of the problem first; that tension is what makes them watch the solution.
The explainer story arc — a beat per stage, in order:
| Stage | Narrative job | What the viewer should think |
|---|---|---|
| Problem | Name the pain in their words | "That's me." |
| Stakes | Show what the pain costs (time, money, risk) | "I need this fixed." |
| Solution | Introduce the product/idea as the fix, in one line | "Oh — that solves it." |
| How it works | The mechanism in 1–3 concrete steps | "I get how it does that." |
| Payoff / CTA | The after-state + one next action | "I want that. I'll do X." |
(The Script formula table below maps these stages to runtime shares and word budgets — this section is the why and order; that one is the how long.)
Pick one analogy and ride it
Abstract mechanisms land when mapped to something the viewer already knows. Choose a single metaphor and keep it consistent across scenes — switching analogies mid-video resets comprehension.
What ships with it
2 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.
- 9d ago First seen · 181 lines · 92 tokens per session scan A d1c0e3147550
explainer-video is a skill published in the GitHub repository iart-ai/explainer-video-skills (19 stars, last pushed 2mo ago), licensed MIT. It adds 92 tokens to every session and 2,519 once invoked, about $0.0005 per session on Opus 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 2026-08-30.
Other skills, from other repositories
vox-director
Turn ONE topic into a finished Vox-style paper-collage explainer / ad video, end to end on the Atlas Cloud API + local ffmpeg — script, collage keyframes, motion, voice-over, music, captions, all automated. Use this whenever the user wants a "Vox style" video, a paper/torn-paper collage animation, a "motion collage"…
kinetic-typography
This skill should be used when the user asks to "animate a headline", "make a kinetic typography video", "do a split-text reveal", "stagger text by character/word/line", "make a lyric or caption video", "animate a variable font weight", "put text on a path", or "create an animated title card". Covers reveal techniques…
particle-system
This skill should be used when the user asks to "build a particle system", "make confetti/snow/smoke/sparks", "create a connected-dot/constellation network background", "add a flow-field or curl-noise particle effect", "render thousands of GPU particles with Three.js Points", or "animate emitters with forces". Covers…
threejs-animation
This skill should be used when the user asks to "build a 3D hero section or WebGL background", "animate a Three.js scene", "play or crossfade GLTF animation clips", "move/lerp the camera or link it to scroll", "render thousands of objects with InstancedMesh", "set up React Three Fiber (R3F) motion", "add bloom/DOF…
shader-glsl
This skill should be used when the user asks to "write a fragment shader", "make a GLSL gradient/noise/plasma background", "create an image transition (dissolve, displacement, glitch)", "add distortion or chromatic aberration", "build an SDF shape shader", "wire up a Three.js ShaderMaterial with uniforms", or "do GPU…
caption-animation
This skill should be used when the user asks to "add animated captions", "make TikTok captions", "karaoke captions", "word-by-word subtitles", "auto subtitles", "highlight the active word", "burn in captions to a video", "sync captions to a voiceover/narration", or "turn an SRT/transcript into animated text". Covers…