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.
git clone --depth 1 https://github.com/GGbond-bo/MemOmics-Agentnpx agentmods add skills/ggbond-bo/memomics-agent/hyperframesWrote 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/ggbond-bo/memomics-agent/hyperframes)<a href="https://agentmods.dev/skills/ggbond-bo/memomics-agent/hyperframes"><img src="https://agentmods.dev/badge/skills/ggbond-bo/memomics-agent/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.
<a href="https://agentmods.dev/skills/ggbond-bo/memomics-agent/hyperframes"><img src="https://agentmods.dev/badge/skills/ggbond-bo/memomics-agent/hyperframes.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 | $0.00091 | $0.03562 |
| Opus 5.5 | $0.00036 | $0.01425 |
| Sonnet 5.5 | $0.00018 | $0.00712 |
| Haiku 4.5 | $0.00009 | $0.00356 |
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 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.
This is a copy
86% identical to hyperframes — 21 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.
How it starts
The opening of the file, as written. The whole thing — 192 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 HyperFrames engine captures the page frame-by-frame and encodes to MP4/WebM with FFmpeg.
Complement to manim-video: Use manim-video for mathematical/geometric explainers (equations, 3B1B-style). Use hyperframes for motion-graphics, talking-head with captions, product tours, social overlays, shader transitions, and anything driven by real video/audio media.
When to Use
- User asks for a rendered video from text, a script, or a website
- Animated title cards, lower thirds, or typographic intros
- Captioned narration video (TTS + captions synced to waveform)
- Audio-reactive visuals (beat sync, spectrum bars, pulsing glow)
- Scene-to-scene transitions (crossfade, wipe, shader warp, flash-through-white)
- Social overlays (Instagram/TikTok/YouTube style)
- Website-to-video pipeline (capture a URL, produce a promo)
- Any HTML/CSS/JS animation that must render deterministically to a video file
Do not use this skill for:
- Pure math/equation animation (→
manim-video) - Image generation or memes (→
meme-generation, image models) - Live video conferencing or streaming
Quick Reference
npx hyperframes init my-video # scaffold a project
cd my-video
npx hyperframes lint # validate before preview/render
npx hyperframes preview # live-reload browser preview (port 3002)
npx hyperframes render --output final.mp4 # render to MP4
npx hyperframes doctor # diagnose environment issues
Render flags: --quality draft|standard|high · --fps 24|30|60 · --format mp4|webm · --docker (reproducible) · --strict.
Full CLI reference: references/cli.md.
Setup (one-time)
bash "$(dirname "$(find ~/.hermes/skills -path '*/hyperframes/SKILL.md' 2>/dev/null | head -1)")/scripts/setup.sh"
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.
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 · 192 lines · 91 tokens per session scan A da32efe3b316
hyperframes is a skill published in the GitHub repository GGbond-bo/MemOmics-Agent (30 stars, last pushed 2d ago), licensed MIT. It adds 91 tokens to every session and 3,562 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to hyperframes, differing in 21 lines, and is treated as a copy.
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