A project starter for building a new AI agent with the Agent Kernel library. It helps choose an agent framework, tools, deployment target, and project structure.

Use it to start agents such as customer-support bots, code-review assistants, or data-analysis agents, with optional custom tools and multiple specialized agents.

It removes the need to decide the basic architecture and create all project files by hand. It also guides you through the requirements your agent needs.

ak-init — Skill for Claude Code and Codex by yaalalabs/agent-kernel

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 yaalalabs/agent-kernel --skill ak-init

Clone the repo

git clone --depth 1 https://github.com/yaalalabs/agent-kernel

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/yaalalabs/agent-kernel/ak-init/github.svg)](https://agentmods.dev/skills/yaalalabs/agent-kernel/ak-init)

Your own site

<a href="https://agentmods.dev/skills/yaalalabs/agent-kernel/ak-init"><img src="https://agentmods.dev/badge/skills/yaalalabs/agent-kernel/ak-init/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/yaalalabs/agent-kernel/ak-init"><img src="https://agentmods.dev/badge/skills/yaalalabs/agent-kernel/ak-init.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,906 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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	$0.00058	$0.02906
Opus 5.5	$0.00023	$0.01162
Sonnet 5.5	$0.00012	$0.00581
Haiku 4.5	$0.00006	$0.00291

Measured 7d ago against content hash ace6353f39d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ak-init 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 7d 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.

ak-py/src/agentkernel/skills/ak-init/SKILL.md · 400 lines

How it starts

The opening of the file, as written. The whole thing — 400 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Scaffold an Agent Kernel Project

Use this skill to create a new AI agent project powered by Agent Kernel.

Instructions for the Agent

When the user wants to create a new agent project, follow this interactive workflow:

Step 1: Gather Requirements

Ask the user the following questions (adapt based on context):

Agent framework: Which agent framework would you like to use?
- OpenAI Agents SDK (recommended for most use cases — best tool support, handoffs between agents)
- CrewAI (multi-agent collaboration with roles and tasks)
- LangGraph (complex workflow graphs with state management)
- Google ADK (Google's Agent Development Kit)
- Smolagents (lightweight agent framework with managed-agent routing)
- Pydantic AI (provider-agnostic — native OpenAI/Anthropic/Google/Bedrock/… support with FallbackModel failover)
Agent purpose: What should your agent(s) do? (e.g., "customer support bot", "code review assistant", "data analysis agent")
Tools: Does your agent need any custom tools? (e.g., "fetch weather data", "query a database", "search the web")
Multi-agent: Do you need multiple specialized agents with a triage/routing agent?
Deployment mode: How will you run the agent?
- CLI (interactive terminal — great for development and testing)
- REST API (FastAPI server — for web apps, webhooks, integrations)
- AWS Lambda (serverless on AWS)
- AWS ECS/Fargate (containerized on AWS)
- Azure Functions (serverless on Azure)
- Azure Container Apps (containerized on Azure)
- GCP Cloud Run Serverless (scale-to-zero on GCP)
- GCP Cloud Run Containerized (always-on on GCP)
- Docker (generic container, runs anywhere)
Session persistence: How should conversation state be stored?
- In-memory (default, no persistence — fine for CLI and development)
- Redis (recommended for production — works with all deployment targets)
- DynamoDB (AWS-native, recommended for AWS serverless)
- Cosmos DB (Azure-native, recommended for Azure serverless)
- Firestore (GCP-native, recommended for GCP Cloud Run)

Read the full file on GitHub · 400 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.

evals/evals.json 5.0 KB

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.

7d ago Changed ace6353f39d0
8d ago Changed 39d603bb4086
21d ago Changed 19da017a290c
24d ago Changed 66c5fab37347
1mo ago Changed 6486e2231c70
1mo ago Changed · +5 lines 81d112076fd3
1mo ago First seen · 395 lines · 58 tokens per session scan A ee6fcde42fbd

Subscribe to this mod's changes

ak-init is a skill published in the GitHub repository yaalalabs/agent-kernel (192 stars, last pushed yesterday), licensed Apache-2.0. It adds 58 tokens to every session and 2,906 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Building agents a2a adk ai-agents aws azure cloud-native

ak-init

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

How it starts

Scaffold an Agent Kernel Project

Instructions for the Agent

Step 1: Gather Requirements

What ships with it

What this file has done since we first saw it

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