init

A first-time setup tool for Archcore projects, which are code repositories that use Archcore’s project documents and host integrations. It examines the repository and prepares a set of starting documents and configuration in one confirmation step.

In plain words
What is it for?
Use it to create an Archcore stack guide, run guide, data model, integration and configuration notes, entry points, public surface, architecture overview, and focused specifications for important modules.
Why use it?
It gives a new project an organized starting point based on its size and structure, without writing files before confirmation.

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/archcore-ai/plugin/init
Any agent
npx skills add archcore-ai/plugin --skill init
Clone the repo
git clone --depth 1 https://github.com/archcore-ai/plugin

Made for: Claude Code, Codex.

Per session 179 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 15,082 The whole file, excluding the scripts and references it only reads on demand.
Security scan E 4 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 $0.00179 $0.15082
Opus 5 $0.00089 $0.07541
Sonnet 5 $0.00036 $0.03016
Haiku 4.5 $0.00018 $0.01508

Measured yesterday against content hash 7940fc74638d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade E, and why

init scanned grade E with 4 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 yesterday.

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.

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://archcore.ai/install.sh | bash

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

`bin/detect-host` resolves the current host from environment only (never cwd or stdin — Cursor guarantees neither) and prints exactly one token: `claude-code` | `cursor` | `codex-cli` | `__UNKNOWN__`. **A GitHub Copilot

Reads MCP configurationmediumAgent snooping

mcp.json carries server URLs and auth tokens; reading it lets a mod discover and abuse other integrations.

**On `copilot`, verify the result instead of assuming it.** Everywhere else a failed wiring costs convenience — the plugin's own MCP server still answers. On this host it costs the entire document surface (`copilot-mcp-a

Makes network callslowCapability

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

> curl -fsSL https://archcore.ai/install.sh | bash
plugins/archcore/skills/init/SKILL.md · 441 lines

How it starts

The opening of the file, as written. The whole thing — 441 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/archcore:init

First-time onboarding. Detects repo scale (small / medium / large) and shape, composes a scale-appropriate seed of .archcore/ documents, shows them in one preview, and creates them on a single confirm — so the code-alignment hook injection and per-command grounding have substance and the relation graph is live from day one. The same confirm also installs host wiring (project MCP config, SessionStart hook, usage hint — the same files archcore init writes), so the repo works for CLI-only teammates. Per magic-first-day-init.adr: extractive facts are composed in full; the top hotspot modules get real specs (synthesized only after confirm); the overview is an index, never a prose blob. Nothing is written before confirm. Exact per-mode output is in the Routing Table below.

Arguments

  • --depth=light|standard|deep — synthesis budget (default standard), orthogonal to --mode. See the Depth axis section below. Also settable via the depth:<tier> toggle in the preview.
  • --mode=small|medium|large — force a mode, overriding auto-detection.
  • --domain=<slug> — re-run focused on one domain (large repos): scopes data-model + hotspot specs to that domain's tree, tops up only its docs. Bypasses the "already seeded" early-exit.
  • --refresh — re-run on an already-seeded repo to add facts that appeared since the first init (a new schema, config, or modules) — and to retrofit host wiring on repos seeded before wiring existed. Bypasses the early-exit; existing docs are skipped, missing ones composed.

When to use

  • Empty .archcore/ — the SessionStart nudge points here.
  • First session on a fresh clone / fresh install.
  • User says: "initialize archcore", "set up archcore", "seed archcore", "first-time setup", "what should I do first".

Not init (route elsewhere):

  • Recording a specific decision → /archcore:document.
  • Planning a feature → /archcore:plan.
  • Documenting one module → /archcore:document.
  • Codifying a team standard → /archcore:document (offers rule + guide continuation).
  • Reading applicable context before coding → automatic; the code-alignment hook injects it on file edits.
  • Docs health audit → /archcore:review.

Read the full file on GitHub · 441 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. yesterday First seen · 441 lines · 179 tokens per session scan E 7940fc74638d

Subscribe to this mod's changes

init is a skill published in the GitHub repository archcore-ai/plugin (53 stars, last pushed 15d ago), licensed Apache-2.0. It adds 179 tokens to every session and 15,082 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it E with 4 findings (downloads and executes remote code, reads agent configuration directories, reads mcp configuration). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

shark

The Shark Pattern — universal non-blocking execution for any AI coding agent. Spawn remoras for slow tools, keep the main agent swimming. Works with Claude Code, Codex, Gemini CLI, Cursor, Aider, OpenClaw.

keugenek/shark · 2 tokens

auth-web-cloudbase

CloudBase Web Authentication Quick Guide for frontend integration after auth-tool has already been checked. Provides concise and practical Web authentication solutions with multiple login methods and complete user management.

TencentCloudBase/CloudBase-AI-Toolkit · 38 tokens

taiyi-ui-design

TaiyiForge 第 4 阶段 — UI/UX 契约,产出 UI-DESIGN.md。四端通用。.

Dong90/oh-my-taiyiforge · 35 tokens

browse-and-evaluate

Use when exploring the ai-agent-skills catalog to find, compare, and evaluate skills before installing. Always use --fields to limit output size and --dry-run before committing to an install.

MoizIbnYousaf/Ai-Agent-Skills · 43 tokens

telnyx-messaging-hosted-curl

Set up hosted SMS numbers, toll-free verification, and RCS messaging. Use when migrating numbers or enabling rich messaging features. This skill provides REST API (curl) examples.

team-telnyx/ai · 45 tokens

render-3d-product-showcase

Assemble a premium 3D product-showcase ad from a config — four beat clips (an orbiting hero rotation, a macro push-in, a physics reveal, a typographic close) normalized to the brand-color canvas, hard-concatenated in order, closed on a deterministic Playwright brand end card, and mixed under one instrumental bed at…

gooseworks-ai/goose-skills · 159 tokens