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 skills add pleaseai/claude-code-plugins --skill developing-genkit-jsgit clone --depth 1 https://github.com/pleaseai/claude-code-pluginsWrote 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.
[](https://agentmods.dev/skills/pleaseai/claude-code-plugins/developing-genkit-js)<a href="https://agentmods.dev/skills/pleaseai/claude-code-plugins/developing-genkit-js"><img src="https://agentmods.dev/badge/skills/pleaseai/claude-code-plugins/developing-genkit-js/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.
<a href="https://agentmods.dev/skills/pleaseai/claude-code-plugins/developing-genkit-js"><img src="https://agentmods.dev/badge/skills/pleaseai/claude-code-plugins/developing-genkit-js.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00060 | $0.03095 |
| Opus 5.5 | $0.00024 | $0.01238 |
| Sonnet 5.5 | $0.00012 | $0.00619 |
| Haiku 4.5 | $0.00006 | $0.00310 |
Grade A, and why
developing-genkit-js 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 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.
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.
This is a copy
100% identical to developing-genkit-js — 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.
How it starts
The opening of the file, as written. The whole thing — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Genkit JS
Prerequisites
Ensure the genkit CLI is available.
- Run
genkit --versionto verify. Minimum CLI version needed: 1.29.0 - If not found or if an older version (1.x < 1.29.0) is present, install/upgrade it:
npm install -g genkit-cli@^1.29.0.
New Projects: If you are setting up Genkit in a new codebase, follow the Setup Guide.
Hello World
import { z, genkit } from 'genkit';
import { googleAI } from '@genkit-ai/google-genai';
// Initialize Genkit with the Google AI plugin
const ai = genkit({
plugins: [googleAI()],
});
export const myFlow = ai.defineFlow({
name: 'myFlow',
inputSchema: z.string().default('AI'),
outputSchema: z.string(),
}, async (subject) => {
const response = await ai.generate({
model: googleAI.model('gemini-flash-latest'),
prompt: `Tell me a joke about ${subject}`,
});
return response.text;
});
Prompts (Dotprompt)
.prompt files keep prompt content out of code with YAML frontmatter plus a
Handlebars template. See Dotprompt: promptDir,
ai.prompt() (call/stream/render), variants, partials, named schemas via
ai.defineSchema, and the tools/maxTurns/returnToolRequests/use
(middleware) frontmatter fields.
Agents (Beta)
Genkit has a preview agent API for persistent, multi-turn conversations
(sessions, snapshots, interrupts, branching, background execution). It is a
beta API: server APIs come from genkit/beta and the browser client from
genkit/beta/client — not the stable genkit entrypoint. **Requires genkit
= 1.39.0.**
For more details see:
- Agents: defining/serving an agent and client-managed state (start here).
- Sessions & persistence: session stores (
InMemory/File/Firestore). - Human-in-the-loop / interrupts: pausing for approval/input and resuming.
- Branching: forking a conversation from a snapshot.
- Background agents: detaching long-running turns and polling.
- Working with state: typed custom session state, auto-synced to the client.
- Artifacts: producing and reading named deliverables.
- Multi-agent orchestration: delegating to sub-agents.
- Advanced custom agents:
defineCustomAgentfor full turn control. - Deploying agents: serving agents over HTTP (multiple agents, CORS, web UI, other frameworks).
What ships with it
19 files 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.
- references/a2ui.md 12 KB
- references/agents-artifacts.md 3.3 KB
- references/agents-background.md 3.7 KB
- references/agents-branching.md 3.2 KB
- references/agents-custom.md 5.0 KB
- references/agents-deployment.md 6.0 KB
- references/agents-human-in-the-loop.md 6.3 KB
- references/agents-multi-agent.md 5.1 KB
- references/agents-sessions.md 5.0 KB
- references/agents-state.md 3.9 KB
- references/agents.md 10 KB
- references/best-practices.md 1.7 KB
- references/common-errors.md 4.8 KB
- references/docs-and-cli.md 5.3 KB
- references/dotprompt.md 5.2 KB
- references/examples.md 4.0 KB
- references/middleware-custom.md 3.2 KB
- references/middleware.md 4.8 KB
- references/setup.md 4.2 KB
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.
- 22d ago First seen · 194 lines · 60 tokens per session scan A 85860b4db809
developing-genkit-js 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 3,095 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to developing-genkit-js, differing in 1 line, and is treated as a copy.
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