platform-setup

platform-setup is a skill for Claude Code, Codex from dinhtungdu/tangerine. It costs 31 tokens per session (4,858 once invoked), scanned D, original, MIT.

A setup guide for Tangerine, a coding-agent platform that runs its server, dashboard, agents, and project repositories on one host computer or inside a Lima virtual machine.

In plain words
What is it for?
Use it to install Tangerine and its tools, configure the workspace, clone repositories, add projects, and install agent skills.
Why use it?
It helps determine the right setup path and avoids configuring separate virtual machines or SSH tunnels for each project.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/dinhtungdu/tangerine/platform-setup
Any agent
npx skills add dinhtungdu/tangerine --skill platform-setup
Clone the repo
git clone --depth 1 https://github.com/dinhtungdu/tangerine

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 platform-setup

README.md
[![agentmods](https://agentmods.dev/badge/skills/dinhtungdu/tangerine/platform-setup.svg)](https://agentmods.dev/skills/dinhtungdu/tangerine/platform-setup)
Your own site
<a href="https://agentmods.dev/skills/dinhtungdu/tangerine/platform-setup"><img src="https://agentmods.dev/badge/skills/dinhtungdu/tangerine/platform-setup.svg" alt="Measured on agentmods" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,858 The whole file, excluding the scripts and references it only reads on demand.
Security scan D 3 findings. Scan, not verified.
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 $0.00031 $0.04858
Opus 5 $0.00015 $0.02429
Sonnet 5 $0.00006 $0.00972
Haiku 4.5 $0.00003 $0.00486

Measured 5d ago against content hash 6089a93618b1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade D, and why

platform-setup scanned grade D with 3 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 5d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (templates/build.sh), 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

sudo apt-get update && sudo apt-get install -y git curl jq dtach

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

curl -fsSL https://bun.sh/install | bash

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -fsSL https://bun.sh/install | bash
skills/platform-setup/SKILL.md · 439 lines

How it starts

The opening of the file, as written. The whole thing — 439 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Tangerine Init Skill

Set up the Tangerine coding agent platform. Tangerine can run directly on the host machine OR inside a Lima VM. Either way: one machine runs the server, dashboard, agents, and all project repos.

Architecture (v1)

Host (laptop) — or VM (Lima)
├── tangerine server + dashboard (:3456)
├── {workspace}/project-a      (main clone)
│              /project-a--wt-1 (task worktree)
│              /project-a--wt-2 (task worktree)
├── {workspace}/project-b, project-b--wt-1, ...
├── ACP agents — local stdio processes
└── Apache, MariaDB, tools — shared

{workspace} defaults to ~/tangerine-workspace but is configurable via config.workspace in ~/tangerine/config.json.

No SSH tunnels, no per-project VMs. One machine, all projects.

Routing

Before doing anything, figure out which mode applies:

  1. Check if Tangerine is already running (tangerine --version or ~/tangerine/config.json exists) → Mode 3 (add a project).
  2. Check if we're inside a Lima VM (limactl info fails or uname -n contains "lima") → Mode 1 (set up Tangerine here).
  3. Check if the user is on macOS (uname -s = Darwin) and limactl is available → ask: "Do you want to run Tangerine directly on this machine or inside a Lima VM?"
    • Direct → Mode 1
    • VM → Mode 2
  4. Otherwise (Linux host, no VM) → Mode 1.

Setup Modes

Two modes: Tangerine Setup (install and run Tangerine on the current machine) and VM Creation (create a Lima VM on macOS, then run Tangerine Setup inside it — the setup steps are identical once inside).

Mode 1: Tangerine Setup (host or inside VM)

User is on the machine where Tangerine will run — either their host or inside a Lima VM. You help them:

  1. Install prerequisites

    Detect OS: uname -sDarwin = macOS, Linux = Linux.

    macOS (use Homebrew; install brew first if missing):

    brew install git gh jq dtach node
    # Bun:
    curl -fsSL https://bun.sh/install | bash
    

Read the full file on GitHub · 439 lines

Files

What ships with it

4 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. 5d ago First seen · 439 lines · 31 tokens per session scan D 6089a93618b1

Subscribe to this mod's changes

platform-setup is a skill published in the GitHub repository dinhtungdu/tangerine (5 stars, last pushed 3mo ago), licensed MIT. It adds 31 tokens to every session and 4,858 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it D with 3 findings (asks for root, downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…

openai/codex · 113 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens