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/milkyway008/hermes-otg/hyperframesnpx skills add MilkyWay008/Hermes-OTG --skill hyperframesgit clone --depth 1 https://github.com/MilkyWay008/Hermes-OTGWrote 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/milkyway008/hermes-otg/hyperframes)<a href="https://agentmods.dev/skills/milkyway008/hermes-otg/hyperframes"><img src="https://agentmods.dev/badge/skills/milkyway008/hermes-otg/hyperframes.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 | $0.00013 | $0.03484 |
| Opus 5 | $0.00006 | $0.01742 |
| Sonnet 5 | $0.00003 | $0.00697 |
| Haiku 4.5 | $0.00001 | $0.00348 |
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 5d 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 — 19 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.
- 5d ago First seen · 192 lines · 13 tokens per session scan A 30a15dcd101b
hyperframes is a skill published in the GitHub repository MilkyWay008/Hermes-OTG (13 stars, last pushed 21d ago), licensed MIT. It adds 13 tokens to every session and 3,484 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to hyperframes, differing in 19 lines, and is treated as a copy.
Other skills, from other repositories
acquiring-disk-image-with-dd-and-dcfldd
Create forensically sound bit-for-bit disk images with dd or dcfldd on a Linux forensic workstation, preserving evidence integrity through hash verification (MD5/SHA) during acquisition. Use when imaging a suspect drive, USB device, or memory card for investigation, preserving volatile disk evidence during incident…
analyzing-linux-kernel-rootkits
Detect kernel-level rootkits in Linux memory dumps using Volatility3 linux plugins (checksyscall, lsmod, hiddenmodules), rkhunter system scanning, and /proc vs /sys discrepancy analysis to identify hooked syscalls, hidden kernel modules, and tampered system structures.
hunt-auth-bypass
Hunting skill for auth bypass vulnerabilities. Built from 12 public bug bounty reports across SAML XSW / parser-differential (GitHub Enterprise CVE-2025-25291/25292), SAML signature stripping (Uber, Rocket.Chat, samlify CVE-2025-47949), SAML domain enforcement bypass via control characters (HackerOne 2024)…
subdomain-enumeration
Map subdomains via crt.sh and subfinder at recon kickoff.
hunt-django
Hunt Django-specific vulnerabilities: DRF permission gaps, ORM injection, and admin exploitation.
tianya-gods-team
天涯神贴大神智囊团 — 20位传奇大神组成的多Agent决策系统。 基于ClawTeam多Agent协作原理，实现「一个目标 → 20位大神并行分析 → 综合决策」的完整工作流。 核心机制： 智能领导者Agent（协调者）接收目标，分配给20位专业大神 20位大神并行分析，各自输出专业视角 综合决策Agent整合所有视角，输出最终决策 使用方式： 「启动天涯智囊团」+ 你的问题/目标 「召集大神」+ 你的问题/目标 「20位大神分析」+ 你的问题/目标 涵盖领域：权谋分析、经济预言、历史解读、文化解构、都市情感、技术分析、 黑帮江湖、盗墓探险、玄幻武侠、都市异能、悬疑推理、法医刑侦、历史穿越等。.