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.
npx agentmods add skills/yaalalabs/agent-kernel/ak-initnpx skills add yaalalabs/agent-kernel --skill ak-initgit clone --depth 1 https://github.com/yaalalabs/agent-kernelWhat 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 | $0.00058 | $0.02848 |
| Opus 5 | $0.00029 | $0.01424 |
| Sonnet 5 | $0.00012 | $0.00570 |
| Haiku 4.5 | $0.00006 | $0.00285 |
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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 395 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
FallbackModelfailover)
-
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)
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.
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.
- 2d ago First seen · 395 lines · 58 tokens per session scan A ee6fcde42fbd
ak-init is a skill published in the GitHub repository yaalalabs/agent-kernel (145 stars, last pushed 5d ago), licensed Apache-2.0. It adds 58 tokens to every session and 2,848 once invoked, about $0.0003 per session on Opus 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.
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