audio-verification

audio-verification is a skill for Claude Code, Codex from AkshitIreddy/agent-skills. It costs 20 tokens per session (1,283 once invoked), scanned A, original, MIT.

A verification process for synthesized browser audio made with the Web Audio API, which lets web code create sounds and effects.

In plain words
What is it for?
Use it when building, changing, or reviewing tones, sound effects, synthesizers, or any AudioContext graph; it renders audio offline and measures its level, shape, and tail.
Why use it?
It checks the actual generated audio samples instead of assuming that compiling code or connecting audio nodes means the sound works.

Skill for Claude CodeCodex

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

Good fit Use it when building, changing, or reviewing tones, sound effects, synthesizers, or any AudioContext graph; it renders audio offline and measures its level, shape, and tail.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/akshitireddy/agent-skills/audio-verification
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 AkshitIreddy/agent-skills --skill audio-verification
Clone the repo
git clone --depth 1 https://github.com/AkshitIreddy/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 audio-verification

README.md
[![agentmods](https://agentmods.dev/badge/skills/akshitireddy/agent-skills/audio-verification/github.svg)](https://agentmods.dev/skills/akshitireddy/agent-skills/audio-verification)
Your own site
<a href="https://agentmods.dev/skills/akshitireddy/agent-skills/audio-verification"><img src="https://agentmods.dev/badge/skills/akshitireddy/agent-skills/audio-verification/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 audio-verification

Your own site · 80×15
<a href="https://agentmods.dev/skills/akshitireddy/agent-skills/audio-verification"><img src="https://agentmods.dev/badge/skills/akshitireddy/agent-skills/audio-verification.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,283 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 $0.00020 $0.01283
Opus 5.5 $0.00008 $0.00513
Sonnet 5.5 $0.00004 $0.00257
Haiku 4.5 $0.00002 $0.00128

Measured 1mo ago against content hash bdb6ab732792, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

audio-verification 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/audio-probe.js), 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/audio-verification/SKILL.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Audio verification

An audio graph that compiles can still be silent, over-range, noisy, or abruptly cut off. Render it to samples when that will answer the reported problem, then exercise the actual app path for scheduling, lifecycle, and device behavior.

Evidence boundary

Measurements can establish sample-level facts. They do not establish that a cue is pleasant, that a person heard it, or that the browser and output device played it correctly. Report those limits explicitly.

For a changed cue:

  1. Render the real graph offline when practical. Prefer importing the production module; if you reproduce the graph in a probe, disclose that it may drift.
  2. Measure the fields relevant to the symptom. Compare before and after under identical settings when a meaningful baseline exists.
  3. Exercise the cue in the running app when the issue involves user gestures, overlapping voices, scheduling, context state, or device changes.
  4. If the evidence cannot settle the complaint, report the result as a bounded measurement or non-reproduction and identify the needed listening check.

Running the included probe

scripts/audio-probe.js is a classic script with no imports. Evaluate it in a browser page using an available browser automation, preview, test runner, or developer-console facility. It defines globalThis.AudioProbe.

const metrics = await AudioProbe.measure((ctx, destination) => {
  const oscillator = ctx.createOscillator();
  const gain = ctx.createGain();
  gain.gain.setValueAtTime(0, 0);
  gain.gain.linearRampToValueAtTime(0.3, 0.02);
  gain.gain.exponentialRampToValueAtTime(0.0004, 0.4);
  oscillator.connect(gain).connect(destination);
  oscillator.start(0);
  oscillator.stop(0.5);
}, { seconds: 0.6 });

const comparison = await AudioProbe.compare(
  { before: buildOld, after: buildNew },
  { seconds: 0.6 },
);

OfflineAudioContext requires a browser-compatible Web Audio implementation. Use what the project or host already provides. Installing a browser engine or a Web Audio shim solely for a small check is optional and should be proportionate to the task.

Read the full file on GitHub · 104 lines

Files

What ships with it

1 file 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. 1mo ago Changed · -14 lines · -97 tokens per session bdb6ab732792
  2. 2mo ago First seen · 118 lines · 117 tokens per session scan A 42c31797856c

Subscribe to this mod's changes

audio-verification is a skill published in the GitHub repository AkshitIreddy/agent-skills (1 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 1,283 once invoked, about $0.0001 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 2026-08-31.

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