hyperframes

hyperframes is a skill for Claude Code, Codex from Ertinox7711/SGRR-AGI-V2. It costs 173 tokens per session (7,139 once invoked), scanned A, a copy of hyperframes, MIT.

An HTML-based tool for composing videos from timed scenes, text, images, audio, and animation. HTML describes the composition while timelines control when each element appears and changes.

In plain words
What is it for?
Use it to make title cards, overlays, captions or subtitles, voiceover videos, audio-reactive visuals, and animated scene transitions.
Why use it?
It gives you a structured way to coordinate visual elements, sound, captions, and scene changes instead of editing timing by hand across separate files.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to make title cards, overlays, captions or subtitles, voiceover videos, audio-reactive visuals, and animated scene transitions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ertinox7711/sgrr-agi-v2/hyperframes
Install

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.

Any agent
npx skills add Ertinox7711/SGRR-AGI-V2 --skill hyperframes
Clone the repo
git clone --depth 1 https://github.com/Ertinox7711/SGRR-AGI-V2

Made for: Claude Code, 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 hyperframes

README.md
[![agentmods](https://agentmods.dev/badge/skills/ertinox7711/sgrr-agi-v2/hyperframes/github.svg)](https://agentmods.dev/skills/ertinox7711/sgrr-agi-v2/hyperframes)
Your own site
<a href="https://agentmods.dev/skills/ertinox7711/sgrr-agi-v2/hyperframes"><img src="https://agentmods.dev/badge/skills/ertinox7711/sgrr-agi-v2/hyperframes/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 hyperframes

Your own site · 80×15
<a href="https://agentmods.dev/skills/ertinox7711/sgrr-agi-v2/hyperframes"><img src="https://agentmods.dev/badge/skills/ertinox7711/sgrr-agi-v2/hyperframes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 173 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,139 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.
Origin 100% copy Near-identical to another mod 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 $0.00173 $0.07139
Opus 5 $0.00086 $0.03570
Sonnet 5 $0.00035 $0.01428
Haiku 4.5 $0.00017 $0.00714

Measured 3d ago against content hash ad0a8b975461, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

hyperframes 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.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/animation-map.mjs, scripts/contrast-report.mjs, scripts/package-loader.mjs), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

100% identical to hyperframes — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/hyperframes/SKILL.md · 491 lines

How it starts

The opening of the file, as written. The whole thing — 491 lines — stays where its author put it; the contents beside it link to each section on GitHub.

HyperFrames

HTML is the source of truth for video. A composition is an HTML file with data-* attributes for timing, a GSAP timeline for animation, and CSS for appearance. The framework handles clip visibility, media playback, and timeline sync.

Approach

Discovery (exploratory requests only)

For open-ended requests ("make me a product launch video", "create something for our brand") where the user hasn't committed to a direction, understand intent before picking colors:

  • Audience — who watches this? Developers? Executives? General consumers?
  • Platform — where does it play? Social (15s), website hero, product demo, internal?
  • Priority — what matters most? Motion quality? Content accuracy? Brand fidelity? Speed?
  • Variations — does the user want options, or a single best shot?

For specific requests ("add a title card", "fix the timing on scene 3"), skip discovery.

For exploratory requests, consider offering 2-3 variations that differ meaningfully — not just color swaps, but different pacing, energy levels, or structural approaches. One safe/expected, one ambitious. Don't mandate this — it's a tool available when appropriate.

Step 1: Design system

If design.md or DESIGN.md exists in the project, read it first (check both casings — they're different files on Linux). It's the source of truth for brand colors, fonts, and constraints. Use its exact values — don't invent colors or substitute fonts. Any format works (YAML frontmatter, prose, tables — just extract the values).

If it names fonts you can't find locally (no fonts/ directory with .woff2 files, not a built-in font), warn the user before writing HTML: "design.md specifies [font name] but no font files found. Please add .woff2 files to fonts/ or I'll fall back to [closest built-in alternative]."

If no design.md exists, offer the user a choice:

  1. User named a style or mood? → Read visual-styles.md for the 8 named presets. Pick the closest match.
  2. Want to browse options visually? → Run the design picker: read references/design-picker.md for the full workflow. This serves a visual picker page. The user configures mood, palette, typography, and motion in the browser, then copies the generated design.md and pastes it back into the conversation.
  3. Want to skip and go fast? → Ask: mood, light or dark, any brand colors/fonts? Then pick a palette from house-style.md.

Read the full file on GitHub · 491 lines

Files

What ships with it

45 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. 3d ago First seen · 491 lines · 173 tokens per session scan A ad0a8b975461

Subscribe to this mod's changes

hyperframes is a skill published in the GitHub repository Ertinox7711/SGRR-AGI-V2 (1 stars, last pushed 4d ago), licensed MIT. It adds 173 tokens to every session and 7,139 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to hyperframes, differing in 0 lines, and is treated as a copy.

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