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 majiayu000/claude-skill-registry --skill adk-agent-buildergit clone --depth 1 https://github.com/majiayu000/claude-skill-registryWrote 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/majiayu000/claude-skill-registry/adk-agent-builder)<a href="https://agentmods.dev/skills/majiayu000/claude-skill-registry/adk-agent-builder"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/adk-agent-builder/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/majiayu000/claude-skill-registry/adk-agent-builder"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/adk-agent-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00771 |
| Opus 5 | $0.00024 | $0.00385 |
| Sonnet 5 | $0.00010 | $0.00154 |
| Haiku 4.5 | $0.00005 | $0.00077 |
Grade A, and why
adk-agent-builder 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 12d 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ADK Agent Builder
Build production-ready agents with Google’s Agent Development Kit (ADK): scaffolding, tool wiring, orchestration patterns, testing, and optional deployment to Vertex AI Agent Engine.
Overview
- Creates a minimal, production-oriented ADK scaffold (agent entrypoint, tool registry, config, and tests).
- Supports single-agent ReAct-style workflows and multi-agent orchestration (Sequential/Parallel/Loop).
- Produces a validation checklist suitable for CI (lint/tests/smoke prompts) and optional Agent Engine deployment verification.
Prerequisites
- Python runtime compatible with your project (often Python 3.10+)
google-adkinstalled and importable- If deploying: access to a Google Cloud project with Vertex AI enabled and permissions to deploy Agent Engine runtimes
- Secrets available via environment variables or a secret manager (never hardcoded)
Instructions
- Confirm scope: local-only agent scaffold vs Vertex AI Agent Engine deployment.
- Choose an architecture:
- Single agent (ReAct) for adaptive tool-driven tasks
- Multi-agent system (specialists + orchestrator) for complex, multi-step workflows
- Define the tool surface (built-in ADK tools + any custom tools you need) and required credentials.
- Scaffold the project:
src/agents/,src/tools/,tests/, and a dependency file (pyproject.tomlorrequirements.txt)
- Implement the minimum viable agent and a smoke test prompt; add regression tests for tool failures.
- If deploying, produce an
adk deploy ...command and a post-deploy validation checklist (AgentCard/task endpoints, permissions, logs).
Output
- A repo-ready ADK scaffold (files and directories) plus starter agent code
- Tool stubs and wiring points (where to add new tools safely)
- A test + validation plan (unit tests and a minimal smoke prompt)
- Optional: deployment commands and verification steps for Agent Engine
Error Handling
- Dependency/runtime issues: provide pinned install commands and validate imports.
- Auth/permission failures: identify the missing role/API and propose least-privilege fixes.
- Tool failures/rate limits: add retries/backoff guidance and a regression test to prevent recurrence.
What ships with it
1 file 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.
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.
- 12d ago First seen · 69 lines · 48 tokens per session scan A f2b3cc4dbc18
adk-agent-builder is a skill published in the GitHub repository majiayu000/claude-skill-registry (600 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 771 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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