fb-ads-automation: Command for Claude Code

.claude/commands/fb-ads/onboard-client.md

onboard-client is a command for Claude Code from shashankrai1983/fb-ads-automation. It costs 0 tokens per session (3,082 once invoked), scanned A, original, MIT.

An interactive setup wizard for adding a new client to a Facebook Ads automation system. It collects the client’s ad account ID, an internal label, and the business name, then prepares the client context for the system’s agents.

In plain words
What is it for?
Use it to register a client, validate the Facebook ad account, fetch campaign information, and prepare the settings needed for performance, creative, market, and competitor analysis.
Why use it?
It reduces the manual work and risk of adding a client inconsistently or duplicating an existing account.

Command for Claude Code

Written for Claude Code: installed under .claude/.

This is shashankrai1983/fb-ads-automation's own configuration. It tells Claude Code how to work on fb-ads-automation itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything fb-ads-automation configures →

Reuse

Borrowing it

Nothing to install: this file belongs to shashankrai1983/fb-ads-automation. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/shashankrai1983/fb-ads-automation/main/.claude/commands/fb-ads/onboard-client.md
Clone the repo
git clone --depth 1 https://github.com/shashankrai1983/fb-ads-automation

Made for: Claude Code.

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 onboard-client

README.md
[![agentmods](https://agentmods.dev/badge/commands/shashankrai1983/fb-ads-automation/onboard-client/github.svg)](https://agentmods.dev/commands/shashankrai1983/fb-ads-automation/onboard-client)
Your own site
<a href="https://agentmods.dev/commands/shashankrai1983/fb-ads-automation/onboard-client"><img src="https://agentmods.dev/badge/commands/shashankrai1983/fb-ads-automation/onboard-client/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 onboard-client

Your own site · 80×15
<a href="https://agentmods.dev/commands/shashankrai1983/fb-ads-automation/onboard-client"><img src="https://agentmods.dev/badge/commands/shashankrai1983/fb-ads-automation/onboard-client.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,082 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 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 $0.00000 $0.03082
Opus 5 $0.00000 $0.01541
Sonnet 5 $0.00000 $0.00616
Haiku 4.5 $0.00000 $0.00308

Measured 11d ago against content hash 54841f75d621, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

onboard-client 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 11d 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.

.claude/commands/fb-ads/onboard-client.md · 326 lines

How it starts

The opening of the file, as written. The whole thing — 326 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Interactive wizard to onboard a new client into the Facebook Ads automation system.

Sets up everything needed so all agents (Performance Optimizer, Creative Strategist, Market Analyst, Competitive Intel) work immediately for the new client.

Preamble: Prepare Context

Before starting, load existing system context:

  1. Read knowledge/accounts.md to understand existing clients and the registry format
  2. Read .env to understand current FB_ACCOUNTS configuration
  3. enable_tools(groups="crud,insights") — needed for account validation and campaign fetching
  4. list_configured_accounts — see what's already set up

Store this context. You'll need it to avoid duplicates and match existing patterns.


Step 1: Account Setup

Ask the user for three things in a single conversational prompt:

## Step 1: Account Setup

I need three things to get started:

1. **Facebook Ad Account ID** — the `act_XXXXX` ID from Meta Business Suite
2. **Client label** — a short snake_case identifier (e.g., `acme_corp`, `green_valley`)
3. **Client display name** — the business name as it should appear (e.g., "Acme Corporation", "Green Valley Farms")

Wait for user response.

Once provided:

  1. Validate the account exists by calling get_ad_account_details(account_id="act_XXXXX")
    • If the call fails, tell the user the account ID is invalid or inaccessible and ask them to check it
    • If it succeeds, extract: currency, timezone, account name, account status
  2. Check for duplicates — verify the label and account ID don't already exist in knowledge/accounts.md or .env
  3. Derive the client directory name from the label: replace underscores with hyphens (e.g., acme_corpacme-corp)
  4. Update .env — append the new label:act_XXXXX pair to the FB_ACCOUNTS line
    • If FB_ACCOUNTS=brand_a:act_123,brand_b:act_456, it becomes FB_ACCOUNTS=brand_a:act_123,brand_b:act_456,{label}:act_XXXXX
  5. Create the client knowledge directory: knowledge/clients/{client-dir}/

Read the full file on GitHub · 326 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. 11d ago First seen · 326 lines · 0 tokens per session scan A 54841f75d621

Subscribe to this mod's changes

onboard-client is a command published in the GitHub repository shashankrai1983/fb-ads-automation (0 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,082 tokens. 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 2026-09-01.