earllm-build

earllm-build is a skill for Claude Code from sinhoneyy/master-skills. It costs 36 tokens per session (2,047 once invoked), scanned A, original, no licence file.

A Kotlin and Jetpack Compose Android app project that connects Bluetooth earbuds to a large language model through voice. Kotlin is a programming language, Jetpack Compose is an Android user-interface toolkit, and a large language model generates and understands text or speech-related requests.

In plain words
What is it for?
Use it to build, maintain, or extend this EarLLM One app and its voice connection to Bluetooth earbuds.
Why use it?
It provides a defined project context for building and maintaining an Android app that links earbuds, voice input, and an AI model.

Skill for Claude Code

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

Part of the master-skills-ai-agent-builder plugin — 195 skills, 1 plugin shipped together

Good fit Use it to build, maintain, or extend this EarLLM One app and its voice connection to Bluetooth earbuds.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sinhoneyy/master-skills/earllm-build
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 sinhoneyy/master-skills --skill earllm-build
Clone the repo
git clone --depth 1 https://github.com/sinhoneyy/master-skills

Made for: Claude Code.

Or install master-skills-ai-agent-builder, the plugin that ships this one along with the rest of its 195 skills, 1 plugin.

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 earllm-build

README.md
[![agentmods](https://agentmods.dev/badge/skills/sinhoneyy/master-skills/earllm-build/github.svg)](https://agentmods.dev/skills/sinhoneyy/master-skills/earllm-build)
Your own site
<a href="https://agentmods.dev/skills/sinhoneyy/master-skills/earllm-build"><img src="https://agentmods.dev/badge/skills/sinhoneyy/master-skills/earllm-build/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 earllm-build

Your own site · 80×15
<a href="https://agentmods.dev/skills/sinhoneyy/master-skills/earllm-build"><img src="https://agentmods.dev/badge/skills/sinhoneyy/master-skills/earllm-build.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,047 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 $0.00036 $0.02047
Opus 5 $0.00018 $0.01024
Sonnet 5 $0.00007 $0.00409
Haiku 4.5 $0.00004 $0.00205

Measured 6d ago against content hash 6d21ce0b40c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

earllm-build 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 6d 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.

plugins/master-skills-ai-agent-builder/skills/earllm-build/SKILL.md · 197 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

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. 6d ago First seen · 197 lines · 36 tokens per session scan A 6d21ce0b40c8

Subscribe to this mod's changes

earllm-build is a skill published in the GitHub repository sinhoneyy/master-skills (12 stars, last pushed 7d ago), with no licence file. It adds 36 tokens to every session and 2,047 once invoked, about $0.0002 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 2026-09-06.