zetic-mlange

zetic-mlange is a skill for Claude Code, Codex from mouchegmouradian/claude-code-skills. It costs 155 tokens per session (4,453 once invoked), scanned A, original, MIT.

A guide for adding the ZETIC Melange, also called MLange, on-device AI SDK to Android or iOS mobile apps. It supports running machine-learning models on the device, including through mobile hardware such as an NPU.

In plain words
What is it for?
Use it to configure the SDK in Gradle, CocoaPods, or Swift Package Manager, add the required Android permission, and integrate model inference in Kotlin, Java, or Swift.
Why use it?
It explains the setup details and required credentials for downloading and running models inside a mobile application.

Skill for Claude CodeCodex

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

Good fit Use it to configure the SDK in Gradle, CocoaPods, or Swift Package Manager, add the required Android permission, and integrate model inference in Kotlin, Java, or Swift.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mouchegmouradian/claude-code-skills/zetic-mlange
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 mouchegmouradian/claude-code-skills --skill zetic-mlange
Clone the repo
git clone --depth 1 https://github.com/mouchegmouradian/claude-code-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 zetic-mlange

README.md
[![agentmods](https://agentmods.dev/badge/skills/mouchegmouradian/claude-code-skills/zetic-mlange/github.svg)](https://agentmods.dev/skills/mouchegmouradian/claude-code-skills/zetic-mlange)
Your own site
<a href="https://agentmods.dev/skills/mouchegmouradian/claude-code-skills/zetic-mlange"><img src="https://agentmods.dev/badge/skills/mouchegmouradian/claude-code-skills/zetic-mlange/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 zetic-mlange

Your own site · 80×15
<a href="https://agentmods.dev/skills/mouchegmouradian/claude-code-skills/zetic-mlange"><img src="https://agentmods.dev/badge/skills/mouchegmouradian/claude-code-skills/zetic-mlange.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 155 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,453 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 $0.00155 $0.04453
Opus 5 $0.00077 $0.02227
Sonnet 5 $0.00031 $0.00891
Haiku 4.5 $0.00015 $0.00445

Measured 12d ago against content hash 34739b381555, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

zetic-mlange 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.

skills/zetic-mlange/SKILL.md · 505 lines

How it starts

The opening of the file, as written. The whole thing — 505 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ZETIC Melange (MLange) SDK Integration Skill

This skill helps users integrate the ZETIC Melange on-device AI SDK into mobile applications.

Naming: The product is called Melange but source code uses MLange (e.g., ZeticMLangeModel).

Key Resources

Prerequisites

Users need two things from the Melange Dashboard:

  1. Personal Key — authentication credential
  2. Model Name — in account_name/project_name format (e.g., "Steve/YOLOv11_comparison")

Supported upload formats: PyTorch .pt2, ONNX .onnx, TorchScript .pt

SDK Setup

Android (Gradle):

// app/build.gradle.kts
dependencies {
    implementation("com.zeticai.mlange:mlange:+")
}

android {
    packaging { jniLibs.useLegacyPackaging = true }
}

Add <uses-permission android:name="android.permission.INTERNET" /> to AndroidManifest.xml (SDK downloads model weights on first run).

iOS (CocoaPods):

pod 'ZeticMLange'

iOS (SPM): Add https://github.com/zetic-ai/ZeticMLangeiOS as a Swift Package dependency.


CRITICAL: Threading & Concurrency Rules

All MLange SDK calls are synchronous and blocking. They directly interface with native hardware (NPU/GPU/CPU) using fixed memory buffers. Every code example you generate MUST follow these rules:

Rule 1: Never Call on the Main/UI Thread

model.run(), model.waitForNextToken(), and even model construction can block for significant time. Always dispatch to a background thread.

Android (Kotlin):

// Always use Dispatchers.IO for blocking SDK calls (large thread pool designed for blocking work).
// Do NOT use Dispatchers.Default — it's sized to CPU cores and blocking calls would starve other coroutines.
withContext(Dispatchers.IO) {
    val outputs = model.run(inputs)
}

iOS (Swift):

// Use an actor or Task to move off @MainActor
func infer() async throws -> [Tensor] {
    try await Task.detached {
        try self.model.run(inputs: inputs)  // Runs on cooperative thread pool
    }.value
}

Read the full file on GitHub · 505 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 · 505 lines · 155 tokens per session scan A 34739b381555

Subscribe to this mod's changes

zetic-mlange is a skill published in the GitHub repository mouchegmouradian/claude-code-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 155 tokens to every session and 4,453 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 2026-08-31.

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