agents-cli-workshop-builder

agents-cli-workshop-builder is a skill for Claude Code, Codex from JAICHANGPARK/workshop-harness. It costs 101 tokens per session (3,282 once invoked), scanned C, original, MIT.

A workshop-building skill for Google's Agents CLI and the Agent Development Lifecycle, the stages of building, testing, deploying, publishing, and monitoring an AI agent. It creates hands-on workshop materials around agent scaffolding, evaluation, cloud deployment, publication, and telemetry.

In plain words
What is it for?
Use it to build technical workshops that use Google Agents CLI, Google ADK, coding-agent skills, synthetic evaluation data, and Google Cloud workflows.
Why use it?
It gives facilitators a defined path for teaching how an agent moves from initial code to a deployed and observed system. It also requires checking current tool, library, and model information before generating materials.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; mentions Claude Code; mentions Codex.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is agents-cli eval dataset synthesize --agent ./sreswarm-agent --count 20 --output ./evals/golden_dataset.json.

Good fit Use it to build technical workshops that use Google Agents CLI, Google ADK, coding-agent skills, synthetic evaluation data, and Google Cloud workflows.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/JAICHANGPARK/workshop-harness
agentmods
npx agentmods add skills/jaichangpark/workshop-harness/agents-cli-workshop-builder

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for agents-cli-workshop-builder

README.md
[![agentmods](https://agentmods.dev/badge/skills/jaichangpark/workshop-harness/agents-cli-workshop-builder/github.svg)](https://agentmods.dev/skills/jaichangpark/workshop-harness/agents-cli-workshop-builder)
Your own site
<a href="https://agentmods.dev/skills/jaichangpark/workshop-harness/agents-cli-workshop-builder"><img src="https://agentmods.dev/badge/skills/jaichangpark/workshop-harness/agents-cli-workshop-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.

agentmods 80×15 button for agents-cli-workshop-builder

Your own site · 80×15
<a href="https://agentmods.dev/skills/jaichangpark/workshop-harness/agents-cli-workshop-builder"><img src="https://agentmods.dev/badge/skills/jaichangpark/workshop-harness/agents-cli-workshop-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,282 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00101 $0.03282
Opus 5.5 $0.00040 $0.01313
Sonnet 5.5 $0.00020 $0.00656
Haiku 4.5 $0.00010 $0.00328

Measured yesterday against content hash f68f616c4f59, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

agents-cli-workshop-builder 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.

| `uvx: command not found` | Astral `uv` package manager not installed | Run `curl -LsSf https://astral.sh/uv/install.sh \| sh` (macOS/Linux) or `winget install astral-sh.uv` (Windows) |

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

| `uvx: command not found` | Astral `uv` package manager not installed | Run `curl -LsSf https://astral.sh/uv/install.sh \| sh` (macOS/Linux) or `winget install astral-sh.uv` (Windows) |
skills/agents-cli-workshop-builder/SKILL.md · 267 lines

How it starts

The opening of the file, as written. The whole thing — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Google Agents CLI (google-agents-cli) Workshop Builder Skill

Purpose

Automates the end-to-end creation of technical hands-on workshops centered on google-agents-cli (google/agents-cli) and the complete Agent Development Lifecycle (ADLC) on Google Cloud and the Gemini Enterprise Agent Platform. This skill teaches attendees how to combine agents-cli CLI commands with its 7 built-in AI coding assistant skills (for Antigravity, Gemini CLI, Claude Code, Codex, and Cursor) to take an ADK agent from initial scaffolding to automated evaluation, cloud deployment, enterprise registry publication, and production telemetry.

Pre-Flight Web Research Protocol: Before generating workshop materials, execute live web searches to verify the latest google-agents-cli release (uvx google-agents-cli setup, npx skills add google/agents-cli), ADK compatibility (google-adk), and current Gemini model tags (gemini-4-argon, gemini-3.8-flash, gemini-3.5-flash-lite).


Core Architecture: How agents-cli Bridges ADK & Coding Agents

  • ADK (google-adk): The code-first runtime framework that defines root_agent, LlmAgent, sub_agents, tools, callbacks, and session state.
  • agents-cli (google-agents-cli): The unified lifecycle CLI and skill suite that wraps ADK projects with production scaffolding, synthetic evaluation pipelines, managed deployment, enterprise governance, and OpenTelemetry / Cloud Trace observability.
flowchart LR
    Setup["1. Setup & Skills<br>uvx google-agents-cli setup"] --> Scaffold["2. Scaffold<br>agents-cli create / enhance"]
    Scaffold --> Code["3. ADK Code<br>root_agent + Tools + Callbacks"]
    Code --> Eval["4. Evaluate & Optimize<br>agents-cli eval synthesize/run/grade/optimize"]
    Eval --> Deploy["5. Deploy<br>agents-cli deploy (Agent Runtime / Cloud Run / GKE)"]
    Deploy --> Publish["6. Publish & Observe<br>Gemini Enterprise Registry + Cloud Trace"]

The 7 Official google-agents-cli Coding Assistant Skills

Read the full file on GitHub · 267 lines

Changes

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.

  1. yesterday First seen · 267 lines · 101 tokens per session scan C f68f616c4f59

Subscribe to this mod's changes

agents-cli-workshop-builder is a skill published in the GitHub repository JAICHANGPARK/workshop-harness (5 stars, last pushed yesterday), licensed MIT. It adds 101 tokens to every session and 3,282 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-10-19.

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