hyperframes-media

hyperframes-media is a skill for Claude Code, Codex from cosmicstack-labs/mercury-agent-skills. It costs 95 tokens per session (1,773 once invoked), scanned A, original, MIT.

A local media-preparation tool for creating speech audio, transcribing audio or video, and removing backgrounds from video or images. It uses downloadable local models and does not require an API key for text-to-speech.

In plain words
What is it for?
Use it to generate narration, create timestamped transcripts for captions, or make transparent overlays by removing backgrounds.
Why use it?
It prepares common media assets needed for video compositions without requiring separate online services for these tasks.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/cosmicstack-labs/mercury-agent-skills/hyperframes-media
Any agent
npx skills add cosmicstack-labs/mercury-agent-skills --skill hyperframes-media
Clone the repo
git clone --depth 1 https://github.com/cosmicstack-labs/mercury-agent-skills

Made for: Claude Code, Codex.

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/cosmicstack-labs/mercury-agent-skills/hyperframes-media.svg)](https://agentmods.dev/skills/cosmicstack-labs/mercury-agent-skills/hyperframes-media)
Your own site
<a href="https://agentmods.dev/skills/cosmicstack-labs/mercury-agent-skills/hyperframes-media"><img src="https://agentmods.dev/badge/skills/cosmicstack-labs/mercury-agent-skills/hyperframes-media.svg" alt="Measured on agentmods" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,773 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00095 $0.01773
Opus 5 $0.00048 $0.00886
Sonnet 5 $0.00019 $0.00355
Haiku 4.5 $0.00010 $0.00177

Measured 6d ago against content hash ab8fe17d5bea, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, 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 6d 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.

categories/development/hyperframes-media/SKILL.md · 180 lines

How it starts

The opening of the file, as written. The whole thing — 180 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/.


Text-to-Speech (tts)

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

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                       # list all 54 voices

Voice Selection

Content Type Recommended Voices 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.

Speed

Speed Use Case
0.7-0.8 Tutorial, complex content, accessibility
1.0 Natural pace (default)
1.1-1.2 Intros, transitions, upbeat content
1.5+ Rarely appropriate; test carefully

Long Scripts

Write to a .txt file and pass the path. Inputs over ~5 minutes may benefit from splitting into segments.

Read the full file on GitHub · 180 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. 6d ago First seen · 180 lines · 95 tokens per session scan A ab8fe17d5bea

Subscribe to this mod's changes

hyperframes-media is a skill published in the GitHub repository cosmicstack-labs/mercury-agent-skills (471 stars, last pushed 11d ago), licensed MIT. It adds 95 tokens to every session and 1,773 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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