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.
git clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-pronpx agentmods add commands/indranilbanerjee/digital-marketing-pro/brand-setupWrote 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/indranilbanerjee/digital-marketing-pro/brand-setup)<a href="https://agentmods.dev/commands/indranilbanerjee/digital-marketing-pro/brand-setup"><img src="https://agentmods.dev/badge/commands/indranilbanerjee/digital-marketing-pro/brand-setup/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/indranilbanerjee/digital-marketing-pro/brand-setup"><img src="https://agentmods.dev/badge/commands/indranilbanerjee/digital-marketing-pro/brand-setup.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 | $0.00018 | $0.00900 |
| Opus 5 | $0.00009 | $0.00450 |
| Sonnet 5 | $0.00004 | $0.00180 |
| Haiku 4.5 | $0.00002 | $0.00090 |
Grade A, and why
brand-setup 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Setup
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
Create or update a brand marketing profile that powers every skill in the plugin. The profile captures brand identity, voice settings, target audiences, competitor landscape, compliance requirements, and channel strategy — then stores it for automatic use across all marketing operations.
Trigger
User runs /digital-marketing-pro:brand-setup or asks to set up a new brand, onboard a new client, create a brand profile, or switch between brands.
Inputs
Gather the following from the user. If not provided, ask before proceeding:
-
Brand name — the company, product, or client name
-
What the brand does — one-sentence elevator pitch (used to infer industry, business model, and USP)
-
Target audience — who the brand serves (B2B/B2C, demographics, job titles, pain points)
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Brand voice — 3 descriptive words (e.g., "bold, witty, professional") mapped to formality, energy, humor, and authority scales (1-10)
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Primary marketing channels — where the brand focuses efforts (social, email, SEO, paid ads, etc.)
-
Additional context (optional):
- Competitors to track
- Compliance or regulatory requirements (HIPAA, GDPR, financial services, etc.)
- Existing style guide document or URL to import
- Brand guidelines, approved messaging, restricted terms
- Geographic markets and languages
Setup Modes
Quick Setup (5 questions — get started in 2 minutes)
Ask only the 5 essential questions above. From these, intelligently populate the full profile:
- Infer industry, business model, and compliance requirements from the elevator pitch
- Map voice descriptors to 1-10 scales (e.g., "professional" = formality: 8, "fun" = humor: 7)
- Set sensible defaults for everything else
- Tell the user: "Quick profile created! Refine anytime with
/digital-marketing-pro:brand-setup --full"
Full Setup (17 questions — comprehensive profiling)
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 · 102 lines · 18 tokens per session scan A d410399aabf2
brand-setup is a command published in the GitHub repository indranilbanerjee/digital-marketing-pro (806 stars, last pushed 3d ago), licensed MIT. It adds 18 tokens to every session and 900 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.
Other commands, from other repositories
brand-setup
Configure brand voice, terminology, compliance guardrails, and style guide for content production.
output-folder
Print the absolute path to the user-visible ContentForge output folder and open it in the OS file manager.
create-content
Run the full 10-phase content production pipeline — research, draft, fact-check, humanize, and publish.
audit-content
Audit your content library for freshness decay, coverage gaps, and optimization opportunities.
content-brief
Generate a research-backed content brief with keyword data, competitor analysis, search intent, and SEO strategy.
publish
Publish finished content to Webflow or WordPress with preview, verification, and HTML export fallback.