google/skills is a collection of Agent Skills that guide AI agents in using Google products and technologies, including Google Cloud services. Developers and agents use these reusable workflows for tasks such as cloud authentication, data analysis, application deployment, and AI platform management. The catalogue entries are skills, plugins, and an MCP integration from this collection.
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 agentmods add skills/google/skills/genkit-dartnpx skills add google/skills --skill genkit-dartgit clone --depth 1 https://github.com/google/skillsWrote 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/google/skills/genkit-dart)<a href="https://agentmods.dev/skills/google/skills/genkit-dart"><img src="https://agentmods.dev/badge/skills/google/skills/genkit-dart.svg" alt="Measured on agentmods" 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 | $0.00048 | $0.02329 |
| Opus 5 | $0.00024 | $0.01164 |
| Sonnet 5 | $0.00010 | $0.00466 |
| Haiku 4.5 | $0.00005 | $0.00233 |
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 How it starts
The opening of the file, as written. The whole thing — 123 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
Prompts (Dotprompt)
.prompt files keep prompt content out of Dart code with YAML frontmatter plus a
Handlebars template. See references/dotprompt.md:
promptDir, ai.prompt() (call/stream/render), variants, partials, named
schemas via defineSchema, and the tools/maxTurns/returnToolRequests/use
(middleware) frontmatter fields. A .prompt file can also back an agent directly
via definePromptAgent.
Agents
Genkit Dart has an agent API for persistent, multi-turn conversations
(sessions, snapshots, interrupts, branching, background execution, custom state,
artifacts, and multi-agent delegation). Server APIs come from
package:genkit/genkit.dart and the browser/HTTP client from
package:genkit/client.dart. The remoteAgent client works from any Dart app,
including Flutter, and the backend is fully interchangeable — it can talk to
a Genkit agent implemented in Dart, JS/TypeScript, or Go over the same HTTP
protocol. A few Dart specifics: interrupts are modeled as tools that call
ctx.interrupt(...) (there is no defineInterrupt), sub-agent delegation uses
the agents() middleware from package:genkit_middleware, and there is no
artifacts() middleware yet (define artifact tools directly).
For more details see:
- Agents: defining/serving an agent and client-managed state (start here).
- Sessions & persistence: session stores (
InMemorySessionStore/FileSessionStore/FirestoreSessionStore). - Human-in-the-loop / interrupts: pausing for approval/input via
ctx.interruptand 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 with the
agents()middleware. - Advanced custom agents:
defineCustomAgentfor full turn control. - Deploying agents: serving agents over HTTP with
genkit_shelf(multiple agents, CORS).
What ships with it
21 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/agents-artifacts.md 5.3 KB
- references/agents-background.md 3.7 KB
- references/agents-branching.md 3.3 KB
- references/agents-custom.md 6.6 KB
- references/agents-deployment.md 4.1 KB
- references/agents-human-in-the-loop.md 7.4 KB
- references/agents-multi-agent.md 4.3 KB
- references/agents-sessions.md 6.4 KB
- references/agents-state.md 7.0 KB
- references/agents.md 13 KB
- references/dotprompt.md 5.3 KB
- references/genkit_anthropic.md 1.0 KB
- references/genkit_chrome.md 543 B
- references/genkit_firebase_ai.md 588 B
- references/genkit_google_genai.md 2.4 KB
- references/genkit_mcp.md 3.0 KB
- references/genkit_middleware.md 2.7 KB
- references/genkit_openai.md 1.3 KB
- references/genkit_shelf.md 1.4 KB
- references/genkit.md 9.8 KB
- references/schemantic.md 4.3 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.
- yesterday First seen · 123 lines · 48 tokens per session scan C 4e9af104aece
developing-genkit-dart is a skill published in the GitHub repository google/skills (19,510 stars, last pushed today), licensed Apache-2.0. It adds 48 tokens to every session and 2,329 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 2026-09-03.
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