nova-sonic-optimization

nova-sonic-optimization is a skill for Claude Code from aws-samples/sample-ramp-aidlc-mod-starter-packs. It costs 167 tokens per session (1,740 once invoked), scanned A, original, MIT-0.

A guide to improving a Nova Sonic voice agent on AWS for response speed, operating cost, and reliability.

In plain words
What is it for?
Use it to measure latency, tune network paths, choose streaming and tool-call patterns, and compare provisioned with on-demand capacity.
Why use it?
It helps identify where time and money are spent in a voice conversation and which deployment or inference choices affect them.

Skill for Claude Code ✓ vendor

Written for Claude Code: installed under .claude/.

Good fit Use it to measure latency, tune network paths, choose streaming and tool-call patterns, and compare provisioned with on-demand capacity.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aws-samples/sample-ramp-aidlc-mod-starter-packs/nova-sonic-optimization
About the project

AI-DLC for Modernization Starter Packs is a collection of reusable project templates for applying an AI-driven development lifecycle to application modernization work. Each pack gives teams structured instructions, skills, and agent-tool configurations for use with several coding agents. The catalogue entries are components and tool registrations included in these packs.

aws-samples/sample-ramp-aidlc-mod-starter-packs · 9 stars · on GitHub

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 aws-samples/sample-ramp-aidlc-mod-starter-packs --skill nova-sonic-optimization
Clone the repo
git clone --depth 1 https://github.com/aws-samples/sample-ramp-aidlc-mod-starter-packs

Made for: Claude Code.

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 nova-sonic-optimization

README.md
[![agentmods](https://agentmods.dev/badge/skills/aws-samples/sample-ramp-aidlc-mod-starter-packs/nova-sonic-optimization.svg)](https://agentmods.dev/skills/aws-samples/sample-ramp-aidlc-mod-starter-packs/nova-sonic-optimization)
Your own site
<a href="https://agentmods.dev/skills/aws-samples/sample-ramp-aidlc-mod-starter-packs/nova-sonic-optimization"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-ramp-aidlc-mod-starter-packs/nova-sonic-optimization.svg" alt="Measured on agentmods" height="20"></a>
Per session 167 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,740 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 unknown 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 $0.00167 $0.01740
Opus 5 $0.00084 $0.00870
Sonnet 5 $0.00033 $0.00348
Haiku 4.5 $0.00017 $0.00174

Measured 4d ago against content hash 1907466797b7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

nova-sonic-optimization 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 4d 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.

voice-ai-agent-on-aws/scaffolded-packs/claude-code/.claude/skills/nova-sonic-optimization/SKILL.md · 132 lines

The source is not reproduced here

Licensed MIT-0

The repository is licensed MIT-0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 4d ago First seen · 132 lines · 167 tokens per session scan A 1907466797b7

Subscribe to this mod's changes

nova-sonic-optimization is a skill published in the GitHub repository aws-samples/sample-ramp-aidlc-mod-starter-packs (9 stars, last pushed yesterday), licensed MIT-0. It adds 167 tokens to every session and 1,740 once invoked, about $0.0008 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 2026-09-03.

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