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 vstorm-co/content-skills --skill content-videogit clone --depth 1 https://github.com/vstorm-co/content-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/vstorm-co/content-skills/content-video)<a href="https://agentmods.dev/skills/vstorm-co/content-skills/content-video"><img src="https://agentmods.dev/badge/skills/vstorm-co/content-skills/content-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/vstorm-co/content-skills/content-video"><img src="https://agentmods.dev/badge/skills/vstorm-co/content-skills/content-video.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 | $0.00041 | $0.01697 |
| Opus 5.5 | $0.00016 | $0.00679 |
| Sonnet 5.5 | $0.00008 | $0.00339 |
| Haiku 4.5 | $0.00004 | $0.00170 |
Grade A, and why
content-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 1mo 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 — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Script & Remotion Composition Generation
Before You Start
-
Check for brand identity: Read
brand/VOICE.mdandbrand/VISUAL.mdif they exist. Video content requires both voice (for narration/script tone) and visual identity (for colors, fonts, logo animations). If these files do not exist, use sensible defaults and suggest the user run the content-setup skill. -
Determine what the user needs: This skill produces two possible outputs:
- Storyboard / Script only -- a scene-by-scene document with narration, visual direction, and timing. Suitable for handing off to an editor or recording team.
- Storyboard + Remotion code -- all of the above, plus a TSX composition that can be rendered programmatically using Remotion. Use this when the user wants a code-driven video.
-
Determine the template type: Ask the user (or infer from their prompt) which format fits:
- Social Short (15-60 seconds) -- punchy, hook-first, vertical or square format (
templates/social-short.tsx.template) - Explainer (2-5 minutes) -- structured walkthrough with sections, diagrams, code animations (
templates/explainer.tsx.template) - Data Story -- animated charts, number reveals, data transitions (
templates/data-story.tsx.template) - Talking Head -- person on camera with lower thirds, name cards, topic overlays (
templates/talking-head.tsx.template)
- Social Short (15-60 seconds) -- punchy, hook-first, vertical or square format (
-
Gather inputs: Topic, target audience, key message, desired duration, platform (YouTube, TikTok, LinkedIn, X, Instagram Reels), and any existing assets (images, logos, data).
Generation Flow
Follow these stages. Do not skip any.
Stage 1: Brief
Confirm the following with the user (or extract from their prompt):
- Topic and core message (one sentence)
- Target audience and platform
- Template type (social-short, explainer, data-story, talking-head)
- Desired duration
- Whether Remotion code is needed
- Available assets: logo files, brand colors, fonts, footage, data
- Narration style: voiceover, on-screen text only, or talking head
- Music mood: upbeat, calm, dramatic, corporate, playful, none
What ships with it
6 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.
- 1mo ago First seen · 169 lines · 41 tokens per session scan A 21802f641ea8
content-video is a skill published in the GitHub repository vstorm-co/content-skills (26 stars, last pushed 6mo ago), licensed MIT. It adds 41 tokens to every session and 1,697 once invoked, about $0.0002 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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