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.
curl -O https://raw.githubusercontent.com/shashankrai1983/fb-ads-automation/main/.claude/commands/fb-ads/onboard-client.mdgit clone --depth 1 https://github.com/shashankrai1983/fb-ads-automationWrote 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/commands/shashankrai1983/fb-ads-automation/onboard-client)<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.
<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>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 | $0.00000 | $0.03082 |
| Opus 5 | $0.00000 | $0.01541 |
| Sonnet 5 | $0.00000 | $0.00616 |
| Haiku 4.5 | $0.00000 | $0.00308 |
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.
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:
- Read
knowledge/accounts.mdto understand existing clients and the registry format - Read
.envto understand currentFB_ACCOUNTSconfiguration enable_tools(groups="crud,insights")— needed for account validation and campaign fetchinglist_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:
- 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
- Check for duplicates — verify the label and account ID don't already exist in
knowledge/accounts.mdor.env - Derive the client directory name from the label: replace underscores with hyphens (e.g.,
acme_corp→acme-corp) - Update
.env— append the newlabel:act_XXXXXpair to theFB_ACCOUNTSline- If
FB_ACCOUNTS=brand_a:act_123,brand_b:act_456, it becomesFB_ACCOUNTS=brand_a:act_123,brand_b:act_456,{label}:act_XXXXX
- If
- Create the client knowledge directory:
knowledge/clients/{client-dir}/
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.
- 11d ago First seen · 326 lines · 0 tokens per session scan A 54841f75d621
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.
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specify
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