desktop-brand-builder

desktop-brand-builder is a skill for Claude Code, Codex from QwenLM/qwen-code. It costs 69 tokens per session (2,147 once invoked), scanned A, original, Apache-2.0.

A build process for creating a rebranded desktop application from a Tauri desktop shell. Tauri is a framework for packaging a web interface as a native desktop app, and white-labeling means presenting it under another brand.

In plain words
What is it for?
Use it to create branded macOS, Windows, or Linux desktop packages by supplying a brand ID and logo, with optional website, application identity, artifact, or updater settings.
Why use it?
It provides a defined way to apply a brand with a small set of inputs while handling the desktop package's identifiers, icons, and optional update settings.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is cd ../...

Good fit Use it to create branded macOS, Windows, or Linux desktop packages by supplying a brand ID and logo, with optional website, application identity, artifact, or updater settings.

Compare 6 skills from other repositories ↓
About the project

Qwen Code is an open-source AI coding agent that runs in a terminal and helps developers work with code through language models. It supports multiple model providers and can also be used through IDEs, desktop software, SDKs, and messaging bots.

QwenLM/qwen-code · 27,707 stars · on GitHub · qwenlm.github.io

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/QwenLM/qwen-code
agentmods
npx agentmods add skills/qwenlm/qwen-code/desktop-brand-builder

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 desktop-brand-builder

README.md
[![agentmods](https://agentmods.dev/badge/skills/qwenlm/qwen-code/desktop-brand-builder/github.svg)](https://agentmods.dev/skills/qwenlm/qwen-code/desktop-brand-builder)
Your own site
<a href="https://agentmods.dev/skills/qwenlm/qwen-code/desktop-brand-builder"><img src="https://agentmods.dev/badge/skills/qwenlm/qwen-code/desktop-brand-builder/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 desktop-brand-builder

Your own site · 80×15
<a href="https://agentmods.dev/skills/qwenlm/qwen-code/desktop-brand-builder"><img src="https://agentmods.dev/badge/skills/qwenlm/qwen-code/desktop-brand-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,147 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. Third-party audits
  • Snyk pass 7 Sept 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 5 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Rogue Agent · line 10
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium MCP Rug Pull · line 142
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 154
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 166
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 187
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
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 $0.00069 $0.02147
Opus 5 $0.00034 $0.01073
Sonnet 5 $0.00014 $0.00429
Haiku 4.5 $0.00007 $0.00215

Measured 9d ago against content hash 1ae895313cb7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

desktop-brand-builder 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 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/brand-create.mjs), 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.

packages/desktop-shell/.agents/skills/desktop-brand-builder/SKILL.md · 223 lines

How it starts

The opening of the file, as written. The whole thing — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Desktop Brand Builder (Tauri shell)

Goal

Create a branded desktop package from packages/desktop-shell with the least user input possible. The user should usually provide only:

brandId: acme-ai
logo: /absolute/path/to/logo.png
website: https://acme.ai

website is optional. Do not ask for app name, app id, artifact name, copyright, or updater endpoints unless the user explicitly asks to override them.

This skill replaces the Electron-era brand builder that lived in the removed packages/desktop. The Tauri shell is the only desktop implementation now; branding hooks are src-tauri/tauri.conf.json, src-tauri/icons/, and the bootstrap/ startup UI.

Input Rules

Required fields:

  • brandId: must match ^[a-z][a-z0-9-]*$
  • logo: local file path; must exist; .png recommended (square, >= 1024px)

Optional overrides:

  • website
  • appName
  • appId (Tauri bundle identifier)
  • artifactPrefix
  • updaterEndpoints (JSON array; empty array disables in-app updates)
  • updaterPubkey (base64 public key; required when updaterEndpoints is non-empty — must match the TAURI_SIGNING_PRIVATE_KEY used to sign your updater artifacts)
  • target: mac, win, linux, or all

If required input is missing, ask once:

请提供:
brandId: 例如 acme-ai,只能小写字母、数字、短横线
logo: 本地 logo 文件路径(建议 1024x1024 PNG)
website: 可选

Once the required fields are present, proceed without a confirmation step.

Derived Defaults

Infer missing values deterministically:

  • appName: title-case the hyphen-separated brandId; acme-ai becomes Acme AI
  • artifactPrefix: title-case the hyphen-separated brandId and join with hyphens; acme-ai becomes Acme-AI
  • appId: if website has a valid host, reverse the host labels and append .desktop; https://acme.ai becomes ai.acme.desktop
  • fallback appId: app.<brandId>.desktop
  • updaterEndpoints: empty by default. A branded build must never poll the official Qwen Code updater feed, and the official feed must never update a branded build. Only set endpoints when the user supplies their own feed.

Read the full file on GitHub · 223 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. 9d ago First seen · 223 lines · 69 tokens per session scan A 1ae895313cb7

Subscribe to this mod's changes

desktop-brand-builder is a skill published in the GitHub repository QwenLM/qwen-code (27,707 stars, last pushed yesterday), licensed Apache-2.0. It adds 69 tokens to every session and 2,147 once invoked, about $0.0003 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 2026-08-30.

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