What is nac-onboarding?

An onboarding guide for nac, a local dashboard and MCP server for connecting an AI coding agent to models and additional tools.

Use it to install and start nac, open its dashboard, add MCP servers, and connect nac to clients such as Claude Code, Codex, or OpenCode.

It keeps setup, sign-in, model selection, and tool connections in the dashboard instead of requiring credentials to be shared in chat.

nac-onboarding — Skill for Codex by arcee-ai/nac

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 arcee-ai/nac --skill nac-onboarding

Clone the repo

git clone --depth 1 https://github.com/arcee-ai/nac

Made for: 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/arcee-ai/nac/nac-onboarding/github.svg)](https://agentmods.dev/skills/arcee-ai/nac/nac-onboarding)

Your own site

<a href="https://agentmods.dev/skills/arcee-ai/nac/nac-onboarding"><img src="https://agentmods.dev/badge/skills/arcee-ai/nac/nac-onboarding/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/arcee-ai/nac/nac-onboarding"><img src="https://agentmods.dev/badge/skills/arcee-ai/nac/nac-onboarding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 618 The whole file, excluding the scripts and references it only reads on demand.

Security scan C 2 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.

Model	Per session	Once invoked
Fable 5.1	$0.00071	$0.00618
Opus 5.5	$0.00028	$0.00247
Sonnet 5.5	$0.00014	$0.00124
Haiku 4.5	$0.00007	$0.00062

Measured 2mo ago against content hash 8b999607790a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

nac-onboarding scanned grade C with 2 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 2mo 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.

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://raw.githubusercontent.com/arcee-ai/nac/main/scripts/install.sh | sh

Makes network callslowCapability

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

curl -fsSL https://raw.githubusercontent.com/arcee-ai/nac/main/scripts/install.sh | sh

skills/nac-onboarding/SKILL.md · 51 lines

How it starts

The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NAC onboarding

Get the user to a running nac dashboard as fast as possible, then connect their MCP client. Authentication, model choice, and MCP server setup all happen in the dashboard UI — do not walk the user through them in chat.

Keep credentials private: if the user ever needs to enter a key or complete a device login, they do it themselves in the UI or their own shell; never request a token in chat or write one into a tracked file.

1. Install and launch

Check whether nac-web is available with nac-web --version.

If it is missing, install the latest stable release:

curl -fsSL https://raw.githubusercontent.com/arcee-ai/nac/main/scripts/install.sh | sh

Start nac from the repository the user wants it to work on:
```
nac-web
```
Use nac-web -C /path/to/project -y when a non-interactive launch is useful. Keep the process running.
Hand the user the dashboard URL (http://127.0.0.1:3210 by default) and confirm it responds. Everything from here — signing in with Arcee or ChatGPT, picking a model, adding MCP servers from the MCP Library — is done in the UI. Point the user at the dashboard's auth and model picker and let them drive.

2. Connect this MCP client to nac

The MCP client is the harness running this session — the agent the user prompted to install the skill. Do not ask which client to use; configure the one you are running in. Add this streamable-HTTP server to your own harness's MCP configuration:

URL: http://127.0.0.1:3210/mcp
Transport: streamable HTTP

This exposes nac session-management tools to the client agent. The listener is intended for the same machine and has no built-in authentication; do not expose it through a tunnel or reverse proxy unless the user adds strong access control.

Use the client's normal MCP configuration mechanism and adapt its configuration syntax around the URL above. Restart or reload the client if it does not pick up the server automatically, then confirm the client can see nac's tools.

Read the full file on GitHub · 51 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.

agents/openai.yaml 188 B

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.

2mo ago First seen · 51 lines · 71 tokens per session scan C 8b999607790a

Subscribe to this mod's changes

nac-onboarding is a skill published in the GitHub repository arcee-ai/nac (296 stars, last pushed yesterday), licensed Apache-2.0. It adds 71 tokens to every session and 618 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Building agents agent-harness agent-orchestration agent-skills agentic-workflows ai-agents developer-tools

nac-onboarding next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
nac-onboardingarcee-ai/nac	Skill	296	yesterday	Apache-2.0	C	71	Codex
openrig-software-factorymvschwarz/openrig	Skill	8.7k	yesterday	Apache-2.0	A	41	Claude Code, Codex
verification-before-completionmvschwarz/openrig	Skill	8.7k	yesterday	Apache-2.0	A	26	Claude Code, Codex
openrig-cmuxmvschwarz/openrig	Skill	8.7k	yesterday	Apache-2.0	A	122	Claude Code, Codex
refocusingmvschwarz/openrig	Skill	8.7k	yesterday	Apache-2.0	A	59	Claude Code
context-buildermvschwarz/openrig	Skill	8.7k	yesterday	Apache-2.0	A	38	Claude Code, Codex
vault-usermvschwarz/openrig	Skill	8.7k	yesterday	Apache-2.0	A	29	Claude Code, Codex

nac-onboarding