step-by-step

A command that turns a complex Google Ads API task into an ordered set of steps. It includes preparation, queries, code examples, and checks after the work is done.

In plain words
What is it for?
Use it to plan and carry out multi-stage Google Ads API workflows, from finding data through execution and verification.
Why use it?
It helps prevent missed prerequisites such as permissions, credentials, or the correct API version. It also points out operations that change data and need manual review.

Command

Install

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.

agentmods
npx agentmods add commands/googleads/google-ads-api-developer-assistant/step-by-step
Clone the repo
git clone --depth 1 https://github.com/googleads/google-ads-api-developer-assistant
Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 204 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00014 $0.00204
Opus 5 $0.00007 $0.00102
Sonnet 5 $0.00003 $0.00041
Haiku 4.5 $0.00001 $0.00020

Measured 2d ago against content hash 4d33c742fd46, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

step-by-step 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 2d 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.

plugins/google-ads-api-developer-assistant/commands/step-by-step.md · 20 lines

What it actually says

Step-by-Step Workflow (/step-by-step)

Deconstructs complex Google Ads API development processes into sequential phases with prerequisites, GAQL queries, and code templates.

Instructions:

  1. Extract Parameters:

    • Extract the task or workflow description from $ARGUMENTS.
    • If not provided, prompt the user for the process they want to break down.
  2. Format Response:

    • Phase Breakdown: Split the workflow into logical phases (Discovery, Preparation, Execution, Verification).
    • Prerequisites: Note required permissions, credentials, and target API version.
    • GAQL & Code: Provide validated GAQL queries and Python code snippets for each phase.
    • Read-Only / Mutate Safety: Note any mutate operations requiring manual review and execution.
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. 2d ago First seen · 20 lines · 14 tokens per session scan A 4d33c742fd46

Subscribe to this mod's changes

step-by-step is a command published in the GitHub repository googleads/google-ads-api-developer-assistant (96 stars, last pushed 8d ago), licensed Apache-2.0. It adds 14 tokens to every session and 204 once invoked, about $0.0001 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.