k9aif

A toolkit for building governed agentic AI systems: software where multiple AI agents perform tasks under defined rules. It provides scaffolding and design guidance for agents, groups of agents, routing, validation cycles, and connections to AI providers.

In plain words
What is it for?
Use it when designing or reviewing an AI application with several cooperating agents, decision-making routers, validation steps, or provider-specific integrations.
Why use it?
It gives teams a shared structure for creating and inspecting multi-agent applications instead of designing each system from scratch. The input does not provide enough detail to describe its specific commands or generated files.

Plugin for Claude Code

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.

Claude Code
/plugin marketplace add k9aif/k9-aif-framework
agentmods
npx agentmods add plugins/k9aif/k9-aif-framework/k9aif-plugin
Clone the repo
git clone --depth 1 https://github.com/k9aif/k9-aif-framework

Made for: Claude Code.

Per session not measured What this adds to a session before it is invoked.
When invoked not measured The manifest loads nothing itself; its 7 skills cost 225 tokens a session between them.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Security

Grade A, and why

k9aif 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.

k9aif-plugin/.claude-plugin/plugin.json · 14 lines

What it actually says

{
  "name": "k9aif",
  "displayName": "K9-AIF Framework",
  "description": "Skills for building governed agentic AI systems with K9-AIF: scaffold agents, squads, routers, validation loops, provider adapters, and architectural inspection.",
  "version": "1.0.0",
  "author": {
    "name": "Ravi Natarajan",
    "url": "https://k9x.ai"
  },
  "repository": "https://github.com/k9aif/k9-aif-framework",
  "license": "Apache-2.0",
  "keywords": ["agentic-ai", "k9-aif", "multi-agent", "enterprise", "architecture-first"]
}
Contents

What it installs

The manifest is a name and a version. 7 skills travel with it, and installing the plugin installs all of them — 225 tokens a session between them. Each is measured on its own page, and each can be installed alone.

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. 2d ago First seen · 14 lines scan A 2a2b34db55a9

Subscribe to this mod's changes

k9aif is a plugin published in the GitHub repository k9aif/k9-aif-framework (2 stars, last pushed 4d ago), licensed Apache-2.0. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-08-31.