Ageniti skill

Define typed app actions with schemas and invoke them across CLI, HTTP, MCP, and AI SDK surfaces.

31|1|Updated May 2, 2026
One-click install
npx skills add https://github.com/Ageniti/Ageniti --skill ageniti-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Ageniti skill
Source: https://github.com/Ageniti/Ageniti/tree/main/docs
Command: npx skills add https://github.com/Ageniti/Ageniti --skill ageniti-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ageniti solves the problem of inconsistent “glue code” for tool surfaces by defining an app action once and running it through a shared runtime that standardizes validation, permissions, streaming events, redaction, confirmation, and error contracts.

Core Features & Use Cases

  • Unified action contract: Define a typed action with explicit input/output schemas, side effects, idempotency, permissions, visibility, and optional deprecation metadata.
  • Shared runtime across surfaces: Invoke the same actions consistently via CLI, HTTP, MCP, OpenAI tools, Vercel AI SDK-style tools, JSON automation, a dev console, and React invocation.
  • Operational safety & consistency: Enforce authorization and confirmation requirements, handle timeouts/retries, and emit structured success/failure envelopes with deterministic redaction.

Quick Start

Define a public action with a name and schema using defineAction, create an app with createAgenitiApp, then ask an AI host to invoke that action through the generated surface you prefer.

Frequently Asked Questions about Ageniti skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I expose app actions to agents across multiple surfaces like MCP and OpenAI tools?

You can expose app actions to agents by defining a typed action with input/output schemas once and running it through a shared runtime. This standardizes invocation semantics across CLI, HTTP, MCP, OpenAI-compatible tools, and React.

What is the best way to standardize tool calling validation and permissions for AI agents?

Standardizing tool calling validation and permissions requires a unified action contract. This contract enforces declarative schemas, runtime validation, authorization checks, and deterministic redaction before an AI host invokes the action.

How do I define an app action contract that supports CLI, HTTP JSON API, and React invocation?

To define an app action contract supporting CLI, HTTP JSON API, and React invocation, you use a declarative schema for inputs and outputs. The shared runtime then processes these actions consistently across all specified surfaces.

Does Ageniti handle runtime validation and redaction for AI SDK tools?

Yes, Ageniti handles runtime validation and redaction for AI SDK tools. The shared runtime enforces these operational safety checks, applying deterministic streaming envelopes for logs, progress, and results during invocation.

Can I use a single action definition for JSON automation and OpenAI-compatible tools?

Yes, you can use a single action definition for JSON automation and OpenAI-compatible tools. The shared runtime allows the same typed action to be invoked consistently across different automation and agent host environments.

What are the limitations of writing custom glue code for tool surfaces instead of using a shared runtime?

Writing custom glue code for tool surfaces creates inconsistent validation, permission handling, and error contracts. Without a shared runtime, you must manually manage streaming events, redaction, and confirmation logic across every individual surface.