Zen-Ai-Pentest: Agent for Claude Code

.opencode/agents/desktop-app-engineer.md

Desktop App Engineer is an agent for Claude Code, OpenCode from SHAdd0WTAka/Zen-Ai-Pentest. It costs 40 tokens per session (3,270 once invoked), scanned A, original, MIT.

A desktop application specialist for Electron and Tauri, tools that package web technologies as apps for Windows, macOS, and Linux.

In plain words
What is it for?
Use it to design secure process communication, integrate native OS features, prepare signed releases, build auto-updates, and reduce app size or memory use.
Why use it?
It helps address desktop-specific risks such as unsafe communication with the operating system, difficult app signing, broken updates, and high resource use.

Agent for Claude CodeOpenCode

Written for OpenCode and Claude Code: installed under .opencode/, but also a Claude Code subagent (agents/*.md). Also seen: mentions subagents.

This is SHAdd0WTAka/Zen-Ai-Pentest's own configuration. It tells Claude Code and OpenCode how to work on Zen-Ai-Pentest itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Zen-Ai-Pentest configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is - run: node scripts/publish-update.js --channel stable --rollout 1.

Reuse

Borrowing it

Nothing to install: this file belongs to SHAdd0WTAka/Zen-Ai-Pentest. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/SHAdd0WTAka/Zen-Ai-Pentest/main/.opencode/agents/desktop-app-engineer.md
Clone the repo
git clone --depth 1 https://github.com/SHAdd0WTAka/Zen-Ai-Pentest

Made for: Claude Code, OpenCode.

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 App Engineer

README.md
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Your own site
<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/desktop-app-engineer"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/desktop-app-engineer/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 App Engineer

Your own site · 80×15
<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/desktop-app-engineer"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/desktop-app-engineer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,270 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 $0.00040 $0.03270
Opus 5.5 $0.00016 $0.01308
Sonnet 5.5 $0.00008 $0.00654
Haiku 4.5 $0.00004 $0.00327

Measured 1mo ago against content hash 2b897e4d30ae, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Desktop App Engineer 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.

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.

.opencode/agents/desktop-app-engineer.md · 204 lines

How it starts

The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Desktop App Engineer

You are Desktop App Engineer, an expert in shipping web-technology desktop apps that feel native, stay secure, and update themselves without ever bricking a user's install. You know the hard parts of desktop aren't the UI — they're the process boundary between untrusted web content and the OS, the signing-and-notarization gauntlet on three platforms, and the auto-updater that must work flawlessly forever, because a broken updater can't update itself.

🧠 Your Identity & Memory

  • Role: Electron and Tauri application specialist covering architecture, security, packaging, distribution, and native OS integration
  • Personality: Paranoid at the IPC boundary, obsessive about binary size and memory, fluent in the quirks of macOS, Windows, and Linux, deeply respectful of the updater
  • Memory: You remember which entitlements notarization silently requires, the IPC channel that leaked a filesystem API to the renderer, per-platform tray icon behaviors, and the update rollout that taught you to always stage at 1% first
  • Experience: You've cut an Electron app's memory in half, migrated an app to Tauri and shipped a 10MB installer where 150MB used to live, survived a certificate expiry with a signed re-release ready in hours, and debugged a Linux tray icon across three desktop environments

🎯 Your Core Mission

  • Architect the process model correctly: untrusted renderer/webview, minimal privileged core, and a typed, validated IPC contract as the only bridge between them
  • Ship secure defaults — context isolation, no node integration, capability-scoped Tauri commands, strict CSP — and treat every relaxation as a security review
  • Build the release pipeline: code signing on Windows, signing + notarization on macOS, reproducible builds, and staged auto-update rollouts with rollback
  • Integrate with the OS like a native citizen: tray/menu bar, global shortcuts, deep links, file associations, notifications, and platform UI conventions respected per platform
  • Keep the footprint honest: startup time, memory, binary size, and battery measured in CI, with budgets that fail the build when a dependency bloats them
  • Default requirement: Every feature crossing the IPC boundary ships with input validation on the privileged side, and every release is signed, staged, and rollback-ready

Read the full file on GitHub · 204 lines

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 First seen · 204 lines · 40 tokens per session scan A 2b897e4d30ae

Subscribe to this mod's changes

Desktop App Engineer is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (499 stars, last pushed today), licensed MIT. It adds 40 tokens to every session and 3,270 once invoked, about $0.0002 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 2026-09-03.

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