hyperframes-media

hyperframes-media is a skill for Claude Code, Codex from waker240/FullVideoProductionSkill. It costs 57 tokens per session (1,100 once invoked), scanned A, original, Apache-2.0.

A media workflow for HyperFrames, a system that renders videos from HTML, covering narration, word timing, captions, and reviewed local music and sound effects. It uses the Fish Audio and OpenAI APIs when configured, but supplies no accounts, voices, or media library.

In plain words
What is it for?
Use it to create narration through Fish Audio, generate word timings with OpenAI Whisper, add captions, and prepare approved local music, sound effects, images, or video for a HyperFrames project.
Why use it?
It organizes the technical steps and checks needed to add spoken audio and timed captions without assuming that services or media files are already available. You still need the required accounts, permissions, Node.js, and FFmpeg tools.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create narration through Fish Audio, generate word timings with OpenAI Whisper, add captions, and prepare approved local music, sound effects, images, or video for a HyperFrames project.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/waker240/fullvideoproductionskill/hyperframes-media
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.

Any agent
npx skills add waker240/FullVideoProductionSkill --skill hyperframes-media
Clone the repo
git clone --depth 1 https://github.com/waker240/FullVideoProductionSkill

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/waker240/fullvideoproductionskill/hyperframes-media/github.svg)](https://agentmods.dev/skills/waker240/fullvideoproductionskill/hyperframes-media)
Your own site
<a href="https://agentmods.dev/skills/waker240/fullvideoproductionskill/hyperframes-media"><img src="https://agentmods.dev/badge/skills/waker240/fullvideoproductionskill/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/waker240/fullvideoproductionskill/hyperframes-media"><img src="https://agentmods.dev/badge/skills/waker240/fullvideoproductionskill/hyperframes-media.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,100 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 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 $0.00057 $0.01100
Opus 5.5 $0.00023 $0.00440
Sonnet 5.5 $0.00011 $0.00220
Haiku 4.5 $0.00006 $0.00110

Measured 20d ago against content hash 99365dfec05e, 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 20d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/audio.mjs, scripts/lib/sfx.mjs, scripts/lib/tts.mjs, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/hyperframes-media/SKILL.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

HyperFrames media

Use fish-audio-api for narration and media-use to ingest reviewed local assets. This package supplies workflows and code; users supply accounts, permitted voices, music, sound effects, images and video.

Requirements and scope

Node >=22.20 and FFmpeg/ffprobe must be on PATH. Read requirements before generation. The engine loads the video project's .env; existing environment values win. Fish uses its official API with FISH_API_KEY and FISH_REFERENCE_ID. Word timing uses OpenAI whisper-1 with OPENAI_API_KEY, or an explicitly configured OpenAI-compatible WHISPER_API.

The shared engine performs one POST per requested narration line and one transcription POST. Neither is automatically retried. It preflights both API configurations before creating voice audio. A whole --only tts rerun creates narration again; use the scaffolded paragraph pipeline for cached/surgical revisions. All generated audio needs listening review.

Shared engine

node <MEDIA_DIR>/scripts/audio.mjs --request audio_request.json --hyperframes . --out audio_meta.json --only tts
node <MEDIA_DIR>/scripts/audio.mjs --request audio_request.json --hyperframes . --out audio_meta.json --only bgm,sfx

The second command needs no API credentials. It preserves and validates any existing voice metadata. Example request (all files shown must be supplied by the user):

{
  "lang": "zh",
  "fish": {
    "transport": "official-api",
    "request": { "normalize": true, "prosody": { "speed": 1 } }
  },
  "lines": [
    { "id": "s0", "text": "这是一段待审听的旁白。", "sfx": [
      { "name": "confirmation", "path": "library/confirmation.wav", "offset_s": 0.2 }
    ] }
  ],
  "bgm": { "path": "library/underscore.wav", "source": "reviewed-local", "volume": 0.18 }
}

fish.reference_id and fish.model are optional project overrides; no personal voice is supplied. fish.request uses official API fields, such as top-level temperature, top_p, normalize and prosody. The adapter owns text, reference ID and WAV format. It rejects credential-like fields and website backend configuration.

Read the full file on GitHub · 65 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. 20d ago First seen · 65 lines · 57 tokens per session scan A 99365dfec05e

Subscribe to this mod's changes

hyperframes-media is a skill published in the GitHub repository waker240/FullVideoProductionSkill (205 stars, last pushed 20d ago), licensed Apache-2.0. It adds 57 tokens to every session and 1,100 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-27.

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