agentic-os-setup

agentic-os-setup is a skill for Claude Code from naveedharri/benai-skills. It costs 185 tokens per session (8,964 once invoked), scanned C, original, MIT.

A setup tool for building an agentic operating system: either a command center inside an Obsidian note vault or a standalone Next.js web dashboard. Obsidian is a local Markdown note app; Next.js is a framework for web applications.

In plain words
What is it for?
Use it to create a Markdown-based personal command center or a live web dashboard with configured actions and integrations.
Why use it?
It removes the work of assembling dashboards, action buttons, profile pages, and optional data connections from scratch.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions CLAUDE.md; names the AskUserQuestion tool; mentions Claude Code.

Part of the all-skills plugin — 109 skills shipped together

Good fit Use it to create a Markdown-based personal command center or a live web dashboard with configured actions and integrations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/naveedharri/benai-skills/agentic-os-setup
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 naveedharri/benai-skills --skill agentic-os-setup
Clone the repo
git clone --depth 1 https://github.com/naveedharri/benai-skills

Made for: Claude Code.

Or install all-skills, the plugin that ships this one along with the rest of its 109 skills.

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 agentic-os-setup

README.md
[![agentmods](https://agentmods.dev/badge/skills/naveedharri/benai-skills/agentic-os-setup/github.svg)](https://agentmods.dev/skills/naveedharri/benai-skills/agentic-os-setup)
Your own site
<a href="https://agentmods.dev/skills/naveedharri/benai-skills/agentic-os-setup"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/agentic-os-setup/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 agentic-os-setup

Your own site · 80×15
<a href="https://agentmods.dev/skills/naveedharri/benai-skills/agentic-os-setup"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/agentic-os-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 185 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,964 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00185 $0.08964
Opus 5 $0.00093 $0.04482
Sonnet 5 $0.00037 $0.01793
Haiku 4.5 $0.00018 $0.00896

Measured 12d ago against content hash 6cab6a59614d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade C, and why

agentic-os-setup 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 12d ago.

The scan reads SKILL.md. This mod also ships 16 executable files (references/obsidian/dashboard-template.js, references/obsidian/frappe-charts.min.js, references/obsidian/plugins/customjs/main.js, …), 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.

Harvests environment variableshighData exfiltration

Enumerating or grepping the environment for keys collects credentials unrelated to what the mod says it does.

## B.3 Pre-flight (collect credentials BEFORE asking discovery questions)

Makes network callslowCapability

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

- Do not auto-fetch latest plugin versions at install time — bundled versions are pinned. To refresh, re-run the curl commands.
plugins/all-skills/skills/agentic-os-setup/SKILL.md · 620 lines

How it starts

The opening of the file, as written. The whole thing — 620 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agentic OS Setup

This skill installs an agentic OS for the user. There are two routes:

  • Route A — Obsidian vault. Installs a configurable command-center dashboard inside an existing Obsidian vault. Bundles and side-loads 5 plugins (Dataview, CustomJS, Shell-commands, Terminal, Homepage). Home + per-profile + Vault Overview pages. Button bar wired to user-defined Claude prompts via Shell-commands. Markdown-based, no servers.
  • Route B — Standalone web dashboard. Bootstraps a Next.js 14 dashboard wired to the Claude Agent SDK plus up to 7 MCP integrations (Circle community, Fireflies meetings, YouTube/VidIQ, Unipile LinkedIn DMs, Apify Twitter/X, Reddit). Optional Railway deploy with HTTP basic auth and a persistent volume. Real web app, can run locally or live.

Both routes share the same conceptual model: a per-profile dashboard, a button-bar of actions, and snapshot-style data refreshes. They differ in surface (markdown vs Next.js), data shape (frontmatter vs JSON snapshots), and deployment (none vs Railway).

Step 0 — Route question (ALWAYS ASK FIRST)

Before anything else, use AskUserQuestion to route:

"Where do you want this set up?"

  • Inside an Obsidian vault — command-center dashboard rendered via Dataview + CustomJS. Best if you already use Obsidian, want markdown-native, no server.
  • As a standalone web dashboard — Next.js app with live MCP integrations and optional Railway deploy. Best if you want a real web URL, live API integrations, multi-user access via HTTP basic auth.

Header: "Surface". multiSelect: false. Don't pre-select. Don't proceed until answered.

Then execute the matching route below.


Route A — Obsidian vault

Use this entire section when the user picks "Inside an Obsidian vault" in Step 0.

Installs a configurable command-center dashboard in any Obsidian vault. Home + per-profile + Vault Overview pages, KPI cards, sparklines, heatmap, task rollup, recent-files lists, and a button bar wired to user-defined Claude prompts via the Shell-commands plugin. All 5 required plugins are bundled and auto-enabled — the user only has to restart Obsidian.

Read the full file on GitHub · 620 lines

Files

What ships with it

60 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. 12d ago First seen · 620 lines · 185 tokens per session scan C 6cab6a59614d

Subscribe to this mod's changes

agentic-os-setup is a skill published in the GitHub repository naveedharri/benai-skills (61 stars, last pushed today), licensed MIT. It adds 185 tokens to every session and 8,964 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it C with 2 findings (harvests environment variables, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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