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 skills add waker240/FullVideoProductionSkill --skill hyperframes-mediagit clone --depth 1 https://github.com/waker240/FullVideoProductionSkillWrote 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/waker240/fullvideoproductionskill/hyperframes-media)<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.
<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>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 | $0.00057 | $0.01100 |
| Opus 5.5 | $0.00023 | $0.00440 |
| Sonnet 5.5 | $0.00011 | $0.00220 |
| Haiku 4.5 | $0.00006 | $0.00110 |
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.
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.
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.
What ships with it
19 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/sfx/CREDITS.md 645 B
- assets/sfx/manifest.json 4 B
- references/audio-review-and-revision.md 11 KB
- references/bgm.md 2.2 KB
- references/captions/authoring.md 8.9 KB
- references/captions/motion.md 5.6 KB
- references/captions/transcript-handling.md 5.6 KB
- references/remove-background.md 8.4 KB
- references/requirements.md 3.0 KB
- references/sfx-prompting.md 3.9 KB
- references/sfx.md 2.5 KB
- references/stock-media-apis.md 19 KB
- references/transcribe.md 2.2 KB
- references/tts-to-captions.md 1.1 KB
- references/tts.md 1.9 KB
- scripts/audio.mjs 19 KB runs code
- scripts/lib/sfx.mjs 6.8 KB runs code
- scripts/lib/tts.mjs 1.8 KB runs code
- scripts/tests/audio-engine.test.mjs 21 KB runs code
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.
- 20d ago First seen · 65 lines · 57 tokens per session scan A 99365dfec05e
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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