developing-genkit-dart

developing-genkit-dart is a skill for Claude Code, Codex from evanca/flutter-ai-rules. It costs 39 tokens per session (866 once invoked), scanned C, original, MIT.

A Dart software-development kit for building AI agents and applications with model-generated text, structured results, tools, workflows, and embeddings. Dart is the programming language commonly used with Flutter.

In plain words
What is it for?
Use it to define Genkit flows and tools, generate or stream model responses, create embeddings, expose remote flows, and inspect runs with the Genkit development interface.
Why use it?
It gives Dart and Flutter projects one interface for connecting AI models and organizing their actions into reusable flows.

Skill for Claude CodeCodex

Part of the flutter-ai-skills plugin — 37 skills shipped together

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/evanca/flutter-ai-rules/developing-genkit-dart
Any agent
npx skills add evanca/flutter-ai-rules --skill developing-genkit-dart
Clone the repo
git clone --depth 1 https://github.com/evanca/flutter-ai-rules

Made for: Claude Code, Codex.

Or install flutter-ai-skills, the plugin that ships this one along with the rest of its 37 skills.

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 developing-genkit-dart

README.md
[![agentmods](https://agentmods.dev/badge/skills/evanca/flutter-ai-rules/developing-genkit-dart.svg)](https://agentmods.dev/skills/evanca/flutter-ai-rules/developing-genkit-dart)
Your own site
<a href="https://agentmods.dev/skills/evanca/flutter-ai-rules/developing-genkit-dart"><img src="https://agentmods.dev/badge/skills/evanca/flutter-ai-rules/developing-genkit-dart.svg" alt="Measured on agentmods" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 866 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.00039 $0.00866
Opus 5 $0.00019 $0.00433
Sonnet 5 $0.00008 $0.00173
Haiku 4.5 $0.00004 $0.00087

Measured yesterday against content hash b21be5fdc695, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

developing-genkit-dart scanned grade C with 2 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 yesterday.

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.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

curl -sL cli.genkit.dev | bash # Native CLI

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -sL cli.genkit.dev | bash # Native CLI
skills/developing-genkit-dart/SKILL.md · 57 lines

How it starts

The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Genkit Dart

Genkit Dart is an AI SDK for Dart that provides a unified interface for code generation, structured outputs, tools, flows, and AI agents.

Core Features and Usage

If you need help with initializing Genkit (Genkit()), Generation (ai.generate), Tooling (ai.defineTool), Flows (ai.defineFlow), Embeddings (ai.embedMany), streaming, or calling remote flow endpoints, please load the core framework reference: references/genkit.md

The Genkit CLI provides a local development UI for running Flow, tracing executions, playing with models, and evaluating outputs.

check if the user has it installed: genkit --version

Installation:

curl -sL cli.genkit.dev | bash # Native CLI
# OR
npm install -g genkit-cli # Via npm

Usage: Wrap your run command with genkit start to attach the Genkit developer UI and tracing:

genkit start -- dart run main.dart

Plugin Ecosystem

Genkit relies on a large suite of plugins to perform generative AI actions, interface with external LLMs, or host web servers.

When asked to use any given plugin, always verify usage by referring to its corresponding reference below. You should load the reference when you need to know the specific initialization arguments, tools, models, and usage patterns for the plugin:

Plugin Name Reference Link Description
genkit_google_genai references/genkit_google_genai.md Load for Google Gemini plugin interface usage.
genkit_anthropic references/genkit_anthropic.md Load for Anthropic plugin interface for Claude models.
genkit_openai references/genkit_openai.md Load for OpenAI plugin interface for GPT models, Groq, and custom compatible endpoints.
genkit_middleware references/genkit_middleware.md Load for Tooling for specific agentic behavior: filesystem, skills, and toolApproval interrupts.
genkit_mcp references/genkit_mcp.md Load for Model Context Protocol integration (Server, Host, and Client capabilities).
genkit_chrome references/genkit_chrome.md Load for Running Gemini Nano locally inside the Chrome browser using the Prompt API.
genkit_shelf references/genkit_shelf.md Load for Integrating Genkit Flow actions over HTTP using Dart Shelf.
genkit_firebase_ai references/genkit_firebase_ai.md Load for Firebase AI plugin interface (Gemini API via Vertex AI).

Read the full file on GitHub · 57 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. yesterday Changed · +1 lines scan A → C b21be5fdc695
  2. 5d ago First seen · 56 lines · 39 tokens per session scan A ccd33e386ba9

Subscribe to this mod's changes

developing-genkit-dart is a skill published in the GitHub repository evanca/flutter-ai-rules (629 stars, last pushed 4d ago), licensed MIT. It adds 39 tokens to every session and 866 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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