Skills google-agents-cli-scaffold
📦
google-agents-cli-scaffold
v0.5.1 Content revision r1 Safe ⚙️ External commands🌐 Network access📁 Filesystem access
Scaffold Google ADK Agent Projects
Starting a Google ADK agent project requires several template, deployment, and workflow choices. This skill guides agents-cli scaffolding from prototype setup through enhancement and upgrade planning.
Supports: Claude Codex Code(CC)
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Agent request
Review the Skillstore skill "google-agents-cli-scaffold" from https://skillstore.io/skills/google-google-agents-cli-scaffold.md and its manifest at https://skillstore.io/api/skills/google-google-agents-cli-scaffold/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "google-agents-cli-scaffold". Start a prototype customer support agent on Google ADK.
Expected outcome:
- The assistant asks for the agent goal, tools, data sources, and deployment preference.
- It recommends a prototype-first scaffold and explains which template fits the support workflow.
- It confirms the project name and guidance filename before any local changes are made.
Using "google-agents-cli-scaffold". Add Cloud Run deployment scaffolding to my existing project.
Expected outcome:
- The assistant checks where the agent code lives and confirms the target deployment choice.
- It explains the files likely to be added or updated, including deployment and build assets.
- It asks for approval before running scaffold enhancement steps.
Using "google-agents-cli-scaffold". Plan a RAG agent that searches internal documents.
Expected outcome:
- The assistant compares document search and vector search options for the datastore.
- It recommends a RAG scaffold path with region and session considerations.
- It notes that datastore provisioning and ingestion are needed before meaningful tests.
Security Audit
Safev4 • 7/6/2026 Open versioned report
All 75 static findings were adjudicated as false positives caused by Markdown backticks, CLI examples, file path mentions, and documentation links. No prompt injection, data exfiltration intent, hidden command execution, or malicious filesystem behavior was found in the reviewed files.
2
Files scanned
303
Lines analyzed
0
Review items
0
False positives ignored
Risk Factors
⚙️ External commands (67)
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🌐 Network access (1)
📁 Filesystem access (4)
No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.
Audited by: codex View Audit History →
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APA citation
google. (2026). google-agents-cli-scaffold security audit report (audit version 4) [Author version 0.5.1]. Skillstore. https://skillstore.io/skills/google-google-agents-cli-scaffold/audits/4BibTeX citation
@techreport{google-google-google-agents-cli-scaffold-2026,
author = {google},
title = {google-agents-cli-scaffold security audit report (audit version 4)},
institution = {Skillstore},
year = {2026},
number = {4},
url = {https://skillstore.io/skills/google-google-agents-cli-scaffold/audits/4},
note = {Author version 0.5.1}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "google-agents-cli-scaffold security audit report (audit version 4)"
version: "0.5.1"
type: report
authors:
- name: "google"
date-released: "2026-07-06"
url: "https://skillstore.io/skills/google-google-agents-cli-scaffold/audits/4"
identifiers:
- type: other
value: "skillstore:google-google-agents-cli-scaffold:audit:4"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: High 41
Architecture
100
Maintainability
87
Content
67
Community
91
Spec Compliance
What You Can Build
Start a Prototype Agent
Create a new Google ADK project with the right template and minimal deployment overhead.
Add Deployment Scaffolding
Enhance an existing project with deployment files or CI/CD choices after the prototype works.
Plan RAG or A2A Architecture
Choose the correct scaffold template, datastore, session model, and deployment target before coding.
Try These Prompts
Create a Prototype
Create a prototype Google ADK agent project for [purpose]. Ask me for missing requirements before choosing a template or deployment option.
Enhance an Existing Project
Enhance my existing ADK project in [path] with [deployment target or CI/CD runner]. Check the agent directory first and explain changes before running commands.
Design a RAG Scaffold
Plan a RAG agent scaffold using [document source] and [datastore preference]. Recommend the agents-cli template, datastore, session storage, and region choices.
Upgrade Safely
Upgrade this agents-cli scaffolded project and preserve custom files. Use dry-run first, summarize conflicts, and ask before applying changes.
Best Practices
- Clarify the agent goal, tools, data sources, and deployment needs before creating a project.
- Start with prototype mode, then add deployment or CI/CD after the agent behavior is validated.
- Confirm the existing agent directory and selected runner before enhancing a project.
Avoid
- Do not create the project directory before running scaffold create.
- Do not change an existing model choice unless the user explicitly asks.
- Do not write A2A API wiring manually when the A2A scaffold can generate it.
Frequently Asked Questions
What does this skill help create?
It helps scaffold Google ADK agent projects with agents-cli, including prototypes, deployment files, and CI/CD options.
Does this skill install agents-cli automatically?
No. It can explain the required installation command, but the user should approve any installation step.
Which assistants can use this skill?
The report lists support for Claude, Codex, and Claude Code.
Can it deploy my agent to production?
It focuses on scaffolding deployment assets. Production deployment operations should use the dedicated deploy workflow.
Can it update an existing project?
Yes. It covers enhance and upgrade workflows, including dry-run review and conflict handling.
Does it write the agent business logic?
No. It points to the ADK coding workflow for implementing agent instructions, tools, and models.
Developer Details
Author
googleLicense
MIT
Author version
v0.5.1
Skillstore revision
r1
Ref
a06681402992ceae98ba04d54cfd4ab004862696
Maintenance freshness
7/18/2026
Usage
3 downloads · 0 views
File structure