agentic-os

agentic-os is a skill for Claude Code, Codex from nklofy/code-agent-skills. It costs 38 tokens per session (2,963 once invoked), scanned A, a copy of agentic-os, Apache-2.0.

A blueprint for building a persistent group of specialised agents inside Claude Code, Anthropic's coding assistant. It uses files for agent instructions, memory, commands, scheduled tasks, and project state so work can continue across sessions.

In plain words
What is it for?
Use it to set up multi-agent workflows, specialist agents, slash commands, persistent memory, scheduled automation, and long-running project coordination in Claude Code.
Why use it?
It helps organise recurring or complex work that should not depend on one chat session. The file-based design avoids requiring an external database for the stored state.

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/nklofy/code-agent-skills/agentic-os
Any agent
npx skills add nklofy/code-agent-skills --skill agentic-os
Clone the repo
git clone --depth 1 https://github.com/nklofy/code-agent-skills

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 agentic-os

README.md
[![agentmods](https://agentmods.dev/badge/skills/nklofy/code-agent-skills/agentic-os.svg)](https://agentmods.dev/skills/nklofy/code-agent-skills/agentic-os)
Your own site
<a href="https://agentmods.dev/skills/nklofy/code-agent-skills/agentic-os"><img src="https://agentmods.dev/badge/skills/nklofy/code-agent-skills/agentic-os.svg" alt="Measured on agentmods" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,963 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 95% copy Near-identical to another mod 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 $0.00038 $0.02963
Opus 5 $0.00019 $0.01482
Sonnet 5 $0.00008 $0.00593
Haiku 4.5 $0.00004 $0.00296

Measured 4d ago against content hash c5f6c806ffed, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agentic-os 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 4d 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.

Origin

This is a copy

95% identical to agentic-os — 28 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

affaan-m-ECC/agentic-os/SKILL.md · 389 lines

How it starts

The opening of the file, as written. The whole thing — 389 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agentic OS

Treat Claude Code as a persistent runtime / operating system rather than a chat session. This skill codifies the architecture used by production agentic setups: a kernel config that routes tasks to specialist agents, persistent file-based memory, scheduled automation, and a JSON/markdown data layer.

When to Activate

  • Building a multi-agent workflow inside Claude Code
  • Setting up persistent Claude Code automation that survives session restarts
  • Creating a "personal OS" or "agentic OS" for recurring tasks
  • User says "agentic OS", "personal OS", "multi-agent", "agent coordinator", "persistent agent"
  • Structuring long-running projects where context must survive across sessions

Architecture Overview

The Agentic OS has four layers. Each layer is a directory in your project root.

project-root/
├── CLAUDE.md          # Kernel: identity, routing rules, agent registry
├── agents/            # Specialist agent definitions (markdown prompts)
├── .claude/commands/  # Slash commands: user-facing CLI
├── scripts/           # Daemon scripts: scheduled or event-driven tasks
└── data/              # State: JSON/markdown filesystem, no external DB

Layer Responsibilities

Layer Purpose Persistence
Kernel (CLAUDE.md) Identity, routing, model policies, agent registry Git-tracked
Agents (agents/) Specialist identities with scoped tools and memory Git-tracked
Commands (.claude/commands/) User-facing slash commands (/daily-sync, /outreach) Git-tracked
Scripts (scripts/) Python/JS daemons triggered by cron or webhooks Git-tracked
State (data/) Append-only logs, project state, decision records Git-ignored or tracked

The Kernel

CLAUDE.md is the kernel. It acts as the COO / orchestrator. Claude reads it at session start and uses it to route work.

Kernel Structure

# CLAUDE.md - Agentic OS Kernel

## Identity
You are the COO of [project-name]. You route tasks to specialist agents.
You never write code directly. You delegate to the right agent and synthesize results.

## Agent Registry

| Agent | Role | Trigger |
|---|---|---|
| @dev | Code, architecture, debugging | User says "build", "fix", "refactor" |
| @writer | Documentation, content, emails | User says "write", "draft", "blog" |
| @researcher | Research, analysis, fact-checking | User says "research", "analyze", "compare" |
| @ops | DevOps, deployment, infrastructure | User says "deploy", "CI", "server" |

## Routing Rules
1. Parse the user request for intent keywords
2. Match to the Agent Registry trigger column
3. Load the corresponding agent file from `agents/<name>.md`
4. Hand off execution with full context
5. Synthesize and present the result back to the user

## Model Policies
- Default model: use the repository or harness default.
- @dev tasks: prefer a higher-reasoning model for complex architecture.
- @researcher tasks: use the configured research-capable model and approved search tools.
- Cost ceiling: warn before exceeding the project's configured spend threshold.

Read the full file on GitHub · 389 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. 4d ago First seen · 389 lines · 38 tokens per session scan A c5f6c806ffed

Subscribe to this mod's changes

agentic-os is a skill published in the GitHub repository nklofy/code-agent-skills (18 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 38 tokens to every session and 2,963 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to agentic-os, differing in 28 lines, and is treated as a copy.

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