vskill: Skill for Claude Code

.claude/skills/hyperframes-media/SKILL.md

hyperframes-media is a skill for Claude Code from anton-abyzov/vskill. It costs 99 tokens per session (3,240 once invoked), scanned A, a copy of hyperframes-media, MIT.

A command-line toolkit for preparing media used in HyperFrames compositions, such as narrated videos or captioned clips. It can create speech from text, turn speech into timestamped text, and remove image or video backgrounds.

In plain words
What is it for?
Use it to generate voiceovers, transcribe audio or video for captions, and create transparent overlays by removing backgrounds from images or videos.
Why use it?
It avoids preparing these assets with separate services or manual tools. The processing runs locally, and downloaded models are cached for later use.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is anton-abyzov/vskill's own configuration. It tells Claude Code how to work on vskill itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything vskill configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/anton-abyzov/vskill/main/.claude/skills/hyperframes-media/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/anton-abyzov/vskill

Made for: Claude Code.

Wrote 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.

agentmods badge for hyperframes-media

README.md
[![agentmods](https://agentmods.dev/badge/skills/anton-abyzov/vskill/hyperframes-media/github.svg)](https://agentmods.dev/skills/anton-abyzov/vskill/hyperframes-media)
Your own site
<a href="https://agentmods.dev/skills/anton-abyzov/vskill/hyperframes-media"><img src="https://agentmods.dev/badge/skills/anton-abyzov/vskill/hyperframes-media/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.

agentmods 80×15 button for hyperframes-media

Your own site · 80×15
<a href="https://agentmods.dev/skills/anton-abyzov/vskill/hyperframes-media"><img src="https://agentmods.dev/badge/skills/anton-abyzov/vskill/hyperframes-media.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 99 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,240 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 98% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00099 $0.03240
Opus 5.5 $0.00040 $0.01296
Sonnet 5.5 $0.00020 $0.00648
Haiku 4.5 $0.00010 $0.00324

Measured 1mo ago against content hash dfb5823543de, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hyperframes-media 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.

Origin

This is a copy

98% identical to hyperframes-media — 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.

.claude/skills/hyperframes-media/SKILL.md · 245 lines

How it starts

The opening of the file, as written. The whole thing — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.

HyperFrames Media Preprocessing

Three CLI commands that produce assets for compositions: tts (speech), transcribe (timestamps), and remove-background (transparent video). Each downloads a model on first run and caches it under ~/.cache/hyperframes/. Drop the output into the project, then reference it from the composition HTML — see the hyperframes skill for the audio/video element conventions.

Text-to-Speech (tts)

Generate speech audio locally with Kokoro-82M. No API key.

npx hyperframes tts "Text here" --voice af_nova --output narration.wav
npx hyperframes tts script.txt --voice bf_emma --output narration.wav
npx hyperframes tts --list                       # all 54 voices

Voice Selection

Match voice to content. Default is af_heart.

Content type Voice Why
Product demo af_heart/af_nova Warm, professional
Tutorial / how-to am_adam/bf_emma Neutral, easy to follow
Marketing / promo af_sky/am_michael Energetic or authoritative
Documentation bf_emma/bm_george Clear British English, formal
Casual / social af_heart/af_sky Approachable, natural

Multilingual

Voice IDs encode language in the first letter: a=American English, b=British English, e=Spanish, f=French, h=Hindi, i=Italian, j=Japanese, p=Brazilian Portuguese, z=Mandarin. The CLI auto-detects the phonemizer locale from the prefix — no --lang needed when the voice matches the text.

npx hyperframes tts "La reunión empieza a las nueve" --voice ef_dora --output es.wav
npx hyperframes tts "今日はいい天気ですね" --voice jf_alpha --output ja.wav

Use --lang only to override auto-detection (stylized accents). Valid codes: en-us, en-gb, es, fr-fr, hi, it, pt-br, ja, zh. Non-English phonemization requires espeak-ng system-wide (brew install espeak-ng / apt-get install espeak-ng).

Read the full file on GitHub · 245 lines

Changes

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.

  1. 1mo ago First seen · 245 lines · 99 tokens per session scan A dfb5823543de

Subscribe to this mod's changes

hyperframes-media is a skill published in the GitHub repository anton-abyzov/vskill (48 stars, last pushed yesterday), licensed MIT. It adds 99 tokens to every session and 3,240 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to hyperframes-media, differing in 1 line, and is treated as a copy.