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 agentmods add skills/contextgo/contextgo/website-to-videonpx skills add contextgo/contextgo --skill website-to-videogit clone --depth 1 https://github.com/contextgo/contextgoWrote 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/contextgo/contextgo/website-to-video)<a href="https://agentmods.dev/skills/contextgo/contextgo/website-to-video"><img src="https://agentmods.dev/badge/skills/contextgo/contextgo/website-to-video.svg" alt="Measured on agentmods" 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 | $0.00047 | $0.00267 |
| Opus 5 | $0.00023 | $0.00133 |
| Sonnet 5 | $0.00009 | $0.00053 |
| Haiku 4.5 | $0.00005 | $0.00027 |
Grade A, and why
website-to-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 4d 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.
What it actually says
Website To Video
Use for URL, landing page, product page, documentation, or website walkthrough videos.
Required Inputs
- URL or captured page context
- target audience
- output channel and aspect ratio
- duration
- CTA or desired viewer action
- whether screenshots should be taken live or supplied as assets
Workflow
- Extract page hierarchy: hero, value prop, proof, features, product screenshots, pricing, CTA.
- Write a concise script or caption track.
- Use
hyperframes-registryfor scroll, spotlight, screenshot, and CTA scenes. - Prepare screenshots/assets with
hyperframes-media. - Build composition with
hyperframesandhyperframes-composition. - Preview and render with
hyperframes-cli. - Run
hyperframes-qc.
QC Risks
- screenshot crop hides important product details
- text too small on mobile video sizes
- page claim or CTA copied incorrectly
- remote site changes break future rerenders
- brand colors differ from source page
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.
- 4d ago First seen · 36 lines · 47 tokens per session scan A 4d7dae0fb148
website-to-video is a skill published in the GitHub repository contextgo/contextgo (54 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 47 tokens to every session and 267 once invoked, about $0.0002 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
general-video
Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated…
diagnostic-stem-delivery
Audio production with diagnostic analysis, timecode parsing from documents, and verified export workflow.
chengfeng-cut
剪辑中文口播原素材：逐词转录、词典修字出修字表、五轮扫描找口误与重复、汇总表与重复句子表、打开 Studio 让用户复核、复盘沉淀用户偏好与词典。只产出一份已复核的删词账本，不切媒体、不做字幕、不做分镜动画。用户说剪口播、处理口误、生成口播基础素材、继续剪口播，或确认卡回传 action=returncutreview 时使用。不要用于执行物理剪切、导出剪后视频、单独安装、单独打开工作台或口播分镜成片。.
chengfeng-check-updates
剪辑环境的唯一管理者：就绪检查（skills 是否最新 → Runtime 是否配套）、Skills 更新激活、Runtime 安装与体检。用户说检查更新、安装剪辑环境、装播放器、检查剪辑环境、剪辑环境就绪了吗、配置转录凭证时使用；业务 Skill（剪口播/字幕/画面/导出）第 0 步也引用本 Skill 的就绪检查。不用于剪辑、字幕、画面、导出本身或项目数据迁移。.
infographic-template-updater
Update template catalogs and UI prompts after adding new infographic templates (src/templates/.ts), including SKILL.md template list, site gallery template mappings, and the AIPlayground prompt list.
moq
Build live video, audio, and real-time data apps with Media over QUIC (MoQ). Use when adding live streaming, conferencing, voice AI, or real-time pub/sub to an app; when integrating the @moq/ npm packages, moq- Rust crates, or the Python/Kotlin/Swift/Go/C bindings; or when running a moq-relay server or a gateway…