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/genkit-ai/genkit/developing-genkit-toolingnpx skills add genkit-ai/genkit --skill developing-genkit-toolinggit clone --depth 1 https://github.com/genkit-ai/genkitWhat 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 | $0.00035 | $0.00810 |
| Opus 5 | $0.00017 | $0.00405 |
| Sonnet 5 | $0.00007 | $0.00162 |
| Haiku 4.5 | $0.00003 | $0.00081 |
Grade A, and why
developing-genkit-tooling 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Developing Genkit Tooling
Naming Conventions
Consistency in naming helps users and agents navigate the tooling.
CLI Commands
Use kebab-case with colon separators for subcommands.
- Format:
noun:verborcategory:action - Examples:
flow:run,eval:run,init - Arguments: Use camelCase in code (
flowName) but standard format in help text (<flowName>).
MCP Tools
Use snake_case for tool names to align with MCP standards.
- Format:
verb_noun - Examples:
list_flows,run_flow,list_genkit_docs,read_genkit_docs
CLI Command Architecture
Commands are implemented in cli/src/commands/ using commander.
Runtime Interaction
Most commands require interacting with the user's project runtime. Use the runWithManager utility to handle the lifecycle of the runtime process.
import { runWithManager } from '../utils/manager-utils';
// ... command definition ...
.action(async (arg, options) => {
await runWithManager(await findProjectRoot(), async (manager) => {
// Interact with manager here
const result = await manager.runAction({ key: arg });
});
});
Output Formatting
- Logging: Use
loggerfrom@genkit-ai/tools-common/utils. - Machine Readable: Provide options for JSON output or file writing when the command produces data.
- Streaming: If the operation supports streaming (like
flow:run), provide a--streamflag and pipe output to stdout.
MCP Tool Architecture
MCP tools in cli/src/mcp/ follow two distinct patterns: Static and Runtime.
Static Tools (e.g., Docs)
These tools do not require a running Genkit project context.
- Registration:
defineDocsTool(server: McpServer) - Dependencies: Only the
serverinstance. - Use Case: Documentation, usage guides, global configuration.
Runtime Tools (e.g., Flows, Runtime Control)
These tools interact with a specific Genkit project's runtime.
- Registration:
defineRuntimeTools(server: McpServer, options: McpToolOptions) - Dependencies: Requires
optionscontainingmanager(process manager) andprojectRoot. - Schema: MUST use
getCommonSchema(options.explicitProjectRoot, ...)to ensure the tool can accept aprojectRootargument when required (e.g., in multi-project environments).
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.
- 3d ago First seen · 111 lines · 35 tokens per session scan A 1eb63e6ba523
developing-genkit-tooling is a skill published in the GitHub repository genkit-ai/genkit (6,389 stars, last pushed 2d ago), licensed Apache-2.0. It adds 35 tokens to every session and 810 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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