Borrowing it
Nothing to install: this file belongs to anton-abyzov/vskill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/anton-abyzov/vskill/main/.claude/skills/remotion-to-hyperframes/SKILL.mdgit clone --depth 1 https://github.com/anton-abyzov/vskillWrote 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/anton-abyzov/vskill/remotion-to-hyperframes)<a href="https://agentmods.dev/skills/anton-abyzov/vskill/remotion-to-hyperframes"><img src="https://agentmods.dev/badge/skills/anton-abyzov/vskill/remotion-to-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 5.1 | $0.00268 | $0.01934 |
| Opus 5 | $0.00134 | $0.00967 |
| Sonnet 5 | $0.00054 | $0.00387 |
| Haiku 4.5 | $0.00027 | $0.00193 |
Grade A, and why
remotion-to-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 7d 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 remotion-to-hyperframes — 33 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Remotion to HyperFrames
Overview
Translate Remotion (React-based) video compositions into HyperFrames (HTML + GSAP) compositions. Most Remotion idioms have direct HyperFrames equivalents — the translation is mechanical for ~80% of typical compositions. This skill encodes the mapping and guards against the lossy 20% by refusing to translate patterns that don't fit HF's seek-driven model and recommending the runtime interop pattern from PR #214 instead.
The skill ships with a tiered test corpus (T1–T4, 4 fixtures total) that grades translations against measured SSIM thresholds. Don't translate without running the eval — a translation that "looks right" but renders 0.05 SSIM lower than the validated baseline is silently wrong.
Workflow
Step 1: Lint the source
Run scripts/lint_source.py over the Remotion source directory. The lint detects patterns that can't translate cleanly:
- Blockers (refuse + recommend interop):
useState,useReducer,useEffect/useLayoutEffectwith non-empty deps, asynccalculateMetadata, third-party React UI libraries (MUI, Chakra, Mantine, antd, shadcn, Radix, NextUI). - Warnings (translate after dropping the construct):
@remotion/lambdaconfig,delayRender,useCallback,useMemo, custom hooks. - Info (translate with note):
staticFile,interpolateColors.
If any blocker fires, stop. Read references/escape-hatch.md and surface the recommendation message. Warnings don't stop translation — drop the offending construct in step 3 and note the gap in TRANSLATION_NOTES.md. @remotion/lambda config is the canonical warning case: the skill drops the import + renderMediaOnLambda(...) calls but translates the rest of the composition.
Step 2: Plan the translation
Read references/api-map.md — the index of every Remotion API and its HF equivalent or per-topic reference. Identify which topic references you'll need based on what the source uses:
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.
- 7d ago First seen · 103 lines · 268 tokens per session scan A 28d0090b4df7
remotion-to-hyperframes is a skill published in the GitHub repository anton-abyzov/vskill (45 stars, last pushed 4d ago), licensed MIT. It adds 268 tokens to every session and 1,934 once invoked, about $0.0013 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to remotion-to-hyperframes, differing in 33 lines, and is treated as a copy.
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