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/anton-abyzov/vskill/hyperframesnpx skills add anton-abyzov/vskill --skill hyperframesgit clone --depth 1 https://github.com/anton-abyzov/vskillWhat 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 | $0.00173 | $0.07148 |
| Opus 5 | $0.00086 | $0.03574 |
| Sonnet 5 | $0.00035 | $0.01430 |
| Haiku 4.5 | $0.00017 | $0.00715 |
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 2d 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
98% identical to hyperframes — 1 line 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 — 492 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:
- User named a style or mood? → Read visual-styles.md for the 8 named presets. Pick the closest match.
- 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.
- Want to skip and go fast? → Ask: mood, light or dark, any brand colors/fonts? Then pick a palette from house-style.md.
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.
- 2d ago First seen · 492 lines · 173 tokens per session scan A d7f2d47e6a9e
hyperframes is a skill published in the GitHub repository anton-abyzov/vskill (44 stars, last pushed 1mo ago), licensed MIT. It adds 173 tokens to every session and 7,148 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to hyperframes, differing in 1 line, and is treated as a copy.
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