developing-genkit-go

developing-genkit-go is a skill for Claude Code from pleaseai/claude-code-plugins. It costs 60 tokens per session (2,529 once invoked), scanned C, a copy of developing-genkit-go, MIT.

A Go guide for building AI applications with Genkit, an SDK that provides a shared way to generate text, stream results, call tools, and define flows across model providers.

In plain words
What is it for?
Use it to create Genkit flows, AI agents, and tools in Go, including HTTP endpoints for flows.
Why use it?
It removes the need to work out Genkit's Go setup and APIs from scattered examples. It also helps diagnose problems with prompts, streaming, tool calls, and model providers.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents; installed under .agents/ (shared by several agents).

Part of the genkit plugin — 4 skills shipped together

Good fit Use it to create Genkit flows, AI agents, and tools in Go, including HTTP endpoints for flows.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pleaseai/claude-code-plugins/developing-genkit-go
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 pleaseai/claude-code-plugins --skill developing-genkit-go
Clone the repo
git clone --depth 1 https://github.com/pleaseai/claude-code-plugins

Made for: Claude Code.

Or install genkit, the plugin that ships this one along with the rest of its 4 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-go

README.md
[![agentmods](https://agentmods.dev/badge/skills/pleaseai/claude-code-plugins/developing-genkit-go/github.svg)](https://agentmods.dev/skills/pleaseai/claude-code-plugins/developing-genkit-go)
Your own site
<a href="https://agentmods.dev/skills/pleaseai/claude-code-plugins/developing-genkit-go"><img src="https://agentmods.dev/badge/skills/pleaseai/claude-code-plugins/developing-genkit-go/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.

agentmods 80×15 button for developing-genkit-go

Your own site · 80×15
<a href="https://agentmods.dev/skills/pleaseai/claude-code-plugins/developing-genkit-go"><img src="https://agentmods.dev/badge/skills/pleaseai/claude-code-plugins/developing-genkit-go.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,529 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 86% copy Near-identical to another mod 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 5.1 $0.00060 $0.02529
Opus 5.5 $0.00024 $0.01012
Sonnet 5.5 $0.00012 $0.00506
Haiku 4.5 $0.00006 $0.00253

Measured 22d ago against content hash f868989c230d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

developing-genkit-go 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 22d 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.

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

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
Origin

This is a copy

86% identical to developing-genkit-go — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/genkit/.agents/skills/developing-genkit-go/SKILL.md · 156 lines

How it starts

The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Genkit Go

Genkit Go is an AI SDK for Go that provides generation, structured output, streaming, tool calling, prompts, and flows with a unified interface across model providers.

Hello World

package main

import (
	"context"
	"fmt"
	"log"
	"net/http"

	"github.com/genkit-ai/genkit/go/ai"
	"github.com/genkit-ai/genkit/go/genkit"
	"github.com/genkit-ai/genkit/go/plugins/googlegenai"
	"github.com/genkit-ai/genkit/go/plugins/server"
)

func main() {
	ctx := context.Background()
	g := genkit.Init(ctx, genkit.WithPlugins(&googlegenai.GoogleAI{}))

	genkit.DefineFlow(g, "jokeFlow", func(ctx context.Context, topic string) (string, error) {
		return genkit.GenerateText(ctx, g,
			ai.WithModelName("googleai/gemini-flash-latest"),
			ai.WithPrompt("Tell me a joke about %s", topic),
		)
	})

	mux := http.NewServeMux()
	for _, f := range genkit.ListFlows(g) {
		mux.HandleFunc("POST /"+f.Name(), genkit.Handler(f))
	}
	log.Fatal(server.Start(ctx, "127.0.0.1:8080", mux))
}

Core Features

Load the appropriate reference based on what you need:

Feature Reference When to load
Initialization references/getting-started.md Setting up genkit.Init, plugins, the *Genkit instance pattern
Generation references/generation.md Generate, GenerateText, GenerateData, streaming, output formats
Prompts references/prompts.md DefinePrompt, DefineDataPrompt, .prompt files, schemas
Tools references/tools.md DefineTool, tool interrupts, RestartWith/RespondWith
Middleware references/middleware.md ai.Middleware, ai.WithUse, Hooks (Generate/Model/Tool), built-ins (Retry, Fallback, ToolApproval, Filesystem, Skills)
Flows & HTTP references/flows-and-http.md DefineFlow, DefineStreamingFlow, genkit.Handler, HTTP serving
Model Providers references/providers.md Google AI, Vertex AI, Anthropic, OpenAI-compatible, Ollama setup

Read the full file on GitHub · 156 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. 22d ago First seen · 156 lines · 60 tokens per session scan C f868989c230d

Subscribe to this mod's changes

developing-genkit-go is a skill published in the GitHub repository pleaseai/claude-code-plugins (16 stars, last pushed 5d ago), licensed MIT. It adds 60 tokens to every session and 2,529 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). It is 86% identical to developing-genkit-go, differing in 1 line, and is treated as a copy.

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