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-dartgit 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-dart)<a href="https://agentmods.dev/skills/pleaseai/claude-code-plugins/developing-genkit-dart"><img src="https://agentmods.dev/badge/skills/pleaseai/claude-code-plugins/developing-genkit-dart/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-dart"><img src="https://agentmods.dev/badge/skills/pleaseai/claude-code-plugins/developing-genkit-dart.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 | $0.00048 | $0.02780 |
| Opus 5.5 | $0.00019 | $0.01112 |
| Sonnet 5.5 | $0.00010 | $0.00556 |
| Haiku 4.5 | $0.00005 | $0.00278 |
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 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 # 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 This is a copy
95% identical to developing-genkit-dart — 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 — 144 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). The agent/session/snapshot APIs are
experimental and live behind opt-in imports: server APIs come from
package:genkit/experimental.dart (alongside package:genkit/genkit.dart), the
browser/HTTP client from package:genkit/experimental_client.dart (alongside
package:genkit/client.dart), and dart:io extras like FileSessionStore from
package:genkit/experimental_io.dart. These entry points are @experimental, so
importing them raises an experimental_member_use analyzer warning you can
silence in analysis_options.yaml. 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 return
.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).
What ships with it
22 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 14 KB
- references/agents-artifacts.md 5.7 KB
- references/agents-background.md 3.9 KB
- references/agents-branching.md 3.5 KB
- references/agents-custom.md 6.7 KB
- references/agents-deployment.md 4.2 KB
- references/agents-human-in-the-loop.md 7.6 KB
- references/agents-multi-agent.md 5.6 KB
- references/agents-sessions.md 6.7 KB
- references/agents-state.md 7.1 KB
- references/agents.md 15 KB
- references/dotprompt.md 5.3 KB
- references/genkit_anthropic.md 1.7 KB
- references/genkit_chrome.md 543 B
- references/genkit_firebase_ai.md 588 B
- references/genkit_google_genai.md 3.0 KB
- references/genkit_mcp.md 4.3 KB
- references/genkit_middleware.md 2.7 KB
- references/genkit_openai.md 2.7 KB
- references/genkit_shelf.md 1.4 KB
- references/genkit.md 15 KB
- references/schemantic.md 4.5 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 · 144 lines · 48 tokens per session scan C 44e9d4bd87e7
developing-genkit-dart is a skill published in the GitHub repository pleaseai/claude-code-plugins (16 stars, last pushed 5d ago), licensed MIT. It adds 48 tokens to every session and 2,780 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 95% identical to developing-genkit-dart, differing in 1 line, and is treated as a copy.
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