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/ggbond-bo/memomics-agent/hyperframesnpx skills add GGbond-bo/MemOmics-Agent --skill hyperframesgit clone --depth 1 https://github.com/GGbond-bo/MemOmics-AgentWhat 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 | $0.00091 | $0.03562 |
| Opus 5 | $0.00046 | $0.01781 |
| Sonnet 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 yesterday.
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.
- yesterday First seen · 192 lines · 91 tokens per session scan A da32efe3b316
hyperframes is a skill published in the GitHub repository GGbond-bo/MemOmics-Agent (18 stars, last pushed yesterday), licensed MIT. It adds 91 tokens to every session and 3,562 once invoked, about $0.0005 per session on Opus 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.
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…
media-ingest
Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.
diagnostic-stem-delivery
Audio production with diagnostic analysis, timecode parsing from documents, and verified export workflow.
vox-director
Turn ONE topic into a finished Vox-style paper-collage explainer / ad video, end to end on the Atlas Cloud API + local ffmpeg — script, collage keyframes, motion, voice-over, music, captions, all automated. Use this whenever the user wants a "Vox style" video, a paper/torn-paper collage animation, a "motion collage"…
seedance-vocab-ja
This skill should be used when the user asks for Japanese Seedance 2.0 prompt wording, Japanese cinematic vocabulary, or translation of camera, lighting, action, VFX, audio, and production terms into Japanese.
model-compatibility
Model family compatibility matrix covering loaders, resolutions, samplers, CFG, VAE, ControlNet, and LoRA compatibility for SD 1.5, SDXL, Flux, SD3, and video models.