audiogram

audiogram is a skill for Claude Code from iart-ai/youtube-video-skills. It costs 110 tokens per session (2,426 once invoked), scanned A, a copy of audiogram, MIT.

A workflow for turning audio such as a podcast excerpt or voiceover into a short video with captions, cover art, a title, progress, and animated waveform or equalizer bars.

In plain words
What is it for?
Use it to make podcast clips, quote videos, narrated posts, or square and vertical social-media videos from audio.
Why use it?
Audio alone is not suitable for many video feeds, and captions make the message readable when viewers watch without sound. It also keeps the animation synchronized during video rendering.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the youtube-video-skills plugin — 2 skills shipped together

Good fit Use it to make podcast clips, quote videos, narrated posts, or square and vertical social-media videos from audio.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/iart-ai/youtube-video-skills/audiogram
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 iart-ai/youtube-video-skills --skill audiogram
Clone the repo
git clone --depth 1 https://github.com/iart-ai/youtube-video-skills

Made for: Claude Code.

Or install youtube-video-skills, the plugin that ships this one along with the rest of its 2 skills.

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 audiogram

README.md
[![agentmods](https://agentmods.dev/badge/skills/iart-ai/youtube-video-skills/audiogram/github.svg)](https://agentmods.dev/skills/iart-ai/youtube-video-skills/audiogram)
Your own site
<a href="https://agentmods.dev/skills/iart-ai/youtube-video-skills/audiogram"><img src="https://agentmods.dev/badge/skills/iart-ai/youtube-video-skills/audiogram/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 audiogram

Your own site · 80×15
<a href="https://agentmods.dev/skills/iart-ai/youtube-video-skills/audiogram"><img src="https://agentmods.dev/badge/skills/iart-ai/youtube-video-skills/audiogram.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,426 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 100% 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 $0.00110 $0.02426
Opus 5 $0.00055 $0.01213
Sonnet 5 $0.00022 $0.00485
Haiku 4.5 $0.00011 $0.00243

Measured 12d ago against content hash e76ebf25d30d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

audiogram 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 12d 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

100% identical to audiogram — 0 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.

skills/audiogram/SKILL.md · 146 lines

How it starts

The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Audiogram

Turn an audio clip — a podcast highlight, a voiceover, a quote — into a short, captioned video that stops the scroll in a muted feed. The moving element (a waveform or equalizer bars) signals "there is sound here," the captions carry the message for the 80% who watch on mute, and cover art + title + a progress bar give it a finished, branded frame.

When to use

  • A podcast soundbite or quote clip for Reels / TikTok / Shorts / feed posts.
  • A voiceover or narration that needs a visual so it can post as video.
  • Music or any audio where a reactive waveform/bars is the hero.

The one rule that prevents 90% of bugs

Drive every bar height from the current frame, never from a real-time analyser loop. Live AnalyserNode + requestAnimationFrame reads "what is playing right now" — but a video renderer paints frames out of order and faster/slower than real time, so the wave desyncs or freezes. Instead, decode the whole file to amplitude samples once, then compute the displayed value as a pure function of the frame. In Remotion this is useAudioData() + visualizeAudio(); in plain canvas it is decodeAudioData() into a sample array you index by frame.

import { useAudioData, visualizeAudio } from "@remotion/media-utils";
import { useCurrentFrame, useVideoConfig } from "remotion";

const audioData = useAudioData(staticFile("episode.mp3"));
if (!audioData) return null; // still loading
const { fps } = useVideoConfig();
const bars = visualizeAudio({
  audioData,
  frame: useCurrentFrame(),
  fps,
  numberOfSamples: 32, // MUST be a power of two
}); // → Float array, length 32, each 0–1, low freq → high freq

Two ways to render the wave

Look Data API Best for
Equalizer bars frequency spectrum, values 0–1 visualizeAudio() music, energy, "feed the bars"
Smooth oscilloscope wave time-domain amplitude, −1…1 visualizeAudioWaveform() voice, podcasts, a calm minimal look

visualizeAudio returns lows on the left, highs on the right. For a centered equalizer, take the first N bars and mirror them around the middle so the bass sits in the center. numberOfSamples must be a power of two (16/32/64); use 16–32 for a chunky branded look, 64+ for a detailed spectrum. See references/waveform-render.md for full bars and oscilloscope components.

Read the full file on GitHub · 146 lines

Files

What ships with it

2 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.

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. 12d ago First seen · 146 lines · 110 tokens per session scan A e76ebf25d30d

Subscribe to this mod's changes

audiogram is a skill published in the GitHub repository iart-ai/youtube-video-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 110 tokens to every session and 2,426 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to audiogram, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

vox-director

Turn ONE topic into a finished Vox-style paper-collage explainer / ad video, end to end on the Atlas Cloud API + local ffmpeg — script, collage keyframes, motion, voice-over, music, captions, all automated. Use this whenever the user wants a "Vox style" video, a paper/torn-paper collage animation, a "motion collage"…

Alisa0808/vox-director · 236 tokens

whiteboard-animation

This skill should be used when the user asks to "make a whiteboard animation", "draw-on explainer", "VideoScribe style", "hand-drawn explainer video", "animate a sketch being drawn", "do a doodle/scribe video", "show a hand drawing the illustration", or "animate handwriting appearing on a whiteboard". Covers SVG…

iart-ai/explainer-video-skills · 103 tokens

wrapped-video

This skill should be used when the user asks to "make a Spotify Wrapped style video", "build a year in review / year-in-review video", "create a personalized data video", "generate a recap video", "build a wrapped video generator", "turn a data table into shareable videos", or "make per-user stat videos". Covers the…

iart-ai/explainer-video-skills · 121 tokens

explainer-video

This skill should be used when the user asks to "make an explainer video", "turn this into a short explainer", "write a script and storyboard for a product video", "produce a how-it-works/onboarding video", "sync narration and captions", or "build a 30–90s animated explainer". Covers script→storyboard→scene…

iart-ai/explainer-video-skills · 92 tokens

isometric-animation

This skill should be used when the user asks to "make an isometric animation", "build a 2.5D isometric scene", "create an isometric infographic", "animate an exploded diagram", "do an isometric city/stack build", "show stacked layers in iso", "extrude blocks with depth", or "add a gentle camera drift to an iso scene".…

iart-ai/explainer-video-skills · 110 tokens

diagram-animation

This skill should be used when the user asks to "animate this diagram", "build a flowchart that reveals step by step", "animate an architecture/sequence diagram", "make a chart animate in", "grow the bars / draw the line / count up the number", "show data flowing along a connector", or "turn a static diagram into a…

iart-ai/explainer-video-skills · 91 tokens