video-explainer

video-explainer is a skill for Codex from runesleo/claude-video-kit. It costs 72 tokens per session (1,989 once invoked), scanned A, original, MIT.

A workflow for turning a research brief or script into a reviewed vertical explainer video, meaning a portrait-format video suited to phone screens.

In plain words
What is it for?
It helps prepare a brief, create a 9:16 script, review it, render a local MP4, and verify the video and its evidence files.
Why use it?
It keeps the script, visuals, narration, rendering, and checks connected while keeping publishing and uploading out of the workflow.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is node scripts/video-explainer.mjs doctor --output <output-directory>.

Good fit It helps prepare a brief, create a 9:16 script, review it, render a local MP4, and verify the video and its evidence files.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/runesleo/claude-video-kit
agentmods
npx agentmods add skills/runesleo/claude-video-kit/video-explainer

Made for: Codex.

Wrote 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.

agentmods badge for video-explainer

README.md
[![agentmods](https://agentmods.dev/badge/skills/runesleo/claude-video-kit/video-explainer/github.svg)](https://agentmods.dev/skills/runesleo/claude-video-kit/video-explainer)
Your own site
<a href="https://agentmods.dev/skills/runesleo/claude-video-kit/video-explainer"><img src="https://agentmods.dev/badge/skills/runesleo/claude-video-kit/video-explainer/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.

agentmods 80×15 button for video-explainer

Your own site · 80×15
<a href="https://agentmods.dev/skills/runesleo/claude-video-kit/video-explainer"><img src="https://agentmods.dev/badge/skills/runesleo/claude-video-kit/video-explainer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,989 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 18
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00072 $0.01989
Opus 5.5 $0.00029 $0.00796
Sonnet 5.5 $0.00014 $0.00398
Haiku 4.5 $0.00007 $0.00199

Measured 15d ago against content hash 2ccb677aa05f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

video-explainer 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 15d 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.

skills/video-explainer/SKILL.md · 149 lines

How it starts

The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Video Explainer

Version note: v0.3.0-rc.1 / 2026-09-27 / Make production strategy adaptive while keeping the deterministic Remotion recipe as a strict fallback. Final-artifact acceptance is strategy-independent and bound to the exact MP4 bytes. Keep upload, account access, credentials, private voice assets, hosted rendering, and publication out of scope.

Produce a local video and evidence packet. Never upload or publish from this skill.

Core contract

This Skill separates what must be true of the final artifact from how the artifact is produced.

Before forcing an existing recipe, run a capability challenge:

  1. Can the current model or available capability produce the final MP4 directly at the required quality?
  2. Which requirements are real product, safety, brand, or evidence invariants?
  3. Which existing steps only compensate for older model limitations?
  4. Can intermediate stages be skipped without weakening final acceptance?
  5. What is the simplest strategy likely to pass the final gates?
  6. If that strategy fails, fall back to the deterministic repository-owned recipe.

Choose one execution strategy:

  • direct_artifact — a current model/capability produces the final MP4 directly. Do not require motion-storyboard.json, script.json, TTS, alignment, or Remotion merely to satisfy a historical recipe.
  • agent_orchestrated — an agent may choose and combine tools as implementation details. Intermediate artifacts are optional unless they are needed to satisfy the brief or evidence requirements.
  • legacy_remotion — use the repository-owned deterministic path when direct generation cannot preserve facts, branding, layout control, narration identity, or other required qualities.

All three strategies converge on objective MP4 verification plus an independent final-artifact review. Production freedom never bypasses final acceptance.

Install

The deterministic fallback orchestrates a local clone of claude-video-kit; it does not bundle the renderer. From the repository root, install the runtime and register the Skill with:

Read the full file on GitHub · 149 lines

Files

What ships with it

7 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.

Changes

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.

  1. 15d ago Changed · +3 lines 2ccb677aa05f
  2. 25d ago Changed · +51 lines · -9 tokens per session f2fbe3e40d52
  3. 1mo ago Changed · +26 lines · +7 tokens per session 88a520a8a213
  4. 1mo ago First seen · 69 lines · 74 tokens per session scan A 53d9f2ab7ebf

Subscribe to this mod's changes

video-explainer is a skill published in the GitHub repository runesleo/claude-video-kit (120 stars, last pushed 16d ago), licensed MIT. It adds 72 tokens to every session and 1,989 once invoked, about $0.0003 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 2026-08-30.

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