brand-builder

brand-builder is a skill for Claude Code from adologyai/content-intelligence-plugin. It costs 82 tokens per session (1,677 once invoked), scanned A, original, Apache-2.0.

A brand-monitoring workspace tool for defining which brands, competitors, influencers, searches, and discussions to track. It also sets the scope of individual analysis projects.

In plain words
What is it for?
Use it to add or remove tracked brands and sources, find brand records, and set project scopes for analysis.
Why use it?
It keeps the overall tracking list separate from the narrower set of data each analysis should use.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the content-intelligence plugin — 14 skills, 4 commands, 1 agent shipped together

Good fit Use it to add or remove tracked brands and sources, find brand records, and set project scopes for analysis.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/adologyai/content-intelligence-plugin/brand-builder
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.

Any agent
npx skills add adologyai/content-intelligence-plugin --skill brand-builder
Clone the repo
git clone --depth 1 https://github.com/adologyai/content-intelligence-plugin

Made for: Claude Code.

Or install content-intelligence, the plugin that ships this one along with the rest of its 14 skills, 4 commands, 1 agent.

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 brand-builder

README.md
[![agentmods](https://agentmods.dev/badge/skills/adologyai/content-intelligence-plugin/brand-builder/github.svg)](https://agentmods.dev/skills/adologyai/content-intelligence-plugin/brand-builder)
Your own site
<a href="https://agentmods.dev/skills/adologyai/content-intelligence-plugin/brand-builder"><img src="https://agentmods.dev/badge/skills/adologyai/content-intelligence-plugin/brand-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 brand-builder

Your own site · 80×15
<a href="https://agentmods.dev/skills/adologyai/content-intelligence-plugin/brand-builder"><img src="https://agentmods.dev/badge/skills/adologyai/content-intelligence-plugin/brand-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,677 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 $0.00082 $0.01677
Opus 5.5 $0.00033 $0.00671
Sonnet 5.5 $0.00016 $0.00335
Haiku 4.5 $0.00008 $0.00168

Measured 2mo ago against content hash 28599b9211a8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

brand-builder 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 2mo 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.

skills/brand-builder/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Building a Tracked Universe

Two layers, and keeping them straight is most of the job.

A portfolio declares what a brand tracks — the focal brand, competitors, influencers, searches, discussions. You edit it with author_portfolio_context.

A project is the working scope analysis reads from. A fresh project reads the portfolio's whole tracked universe; update_project_scope narrows or grows it. You analyze in projects, never in the portfolio directly.

Step 1: Resolve the brands

lookup_brands({ query }) searches the central brand directory and returns each match's category, website, and whatever handles are on file — Instagram, TikTok, YouTube, X, LinkedIn, and the Meta Ad Library page id — already normalized to the shape author_portfolio_context accepts. A brand may have only one or two channels on file.

It costs nothing and changes nothing, so run it for every name the user gives you, in parallel. When a brand is not in the directory, ask the user for the handles directly; explicit handles work exactly as well as directory ones.

Step 2: Land in a portfolio

list_portfolios first — the brand may already have a workspace. create_portfolio({ name, websiteUrl }) starts a new one; if a portfolio with that name exists it returns the existing id with reused: true, so never call it twice for the same brand.

Step 3: Author the tracked universe

Read before you write: read_portfolio_context({ portfolioId }) returns the current items and brand details. Then author_portfolio_context merge-writes — upsertItems (matched by id), removeItemIds, and a shallow details patch (category, industry, targetAudience, brandVoice).

Every item needs an id and a kind, and kind is one bare token: brand, influencer, search, discussion, trend-term, niche, or seo. Everything else about the item is its own field.

  • A brand also needs role — own for the focal brand, competitor, adjacent, or inspiration — plus a handles object keyed by platform (instagram, tiktok, facebook, youtube, adLibrary), or {} when you found none.
  • An influencer carries the same handles object.
  • A search is a keyword; a discussion is a subreddit name without the r/ prefix.

Read the full file on GitHub · 96 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. 2mo ago First seen · 96 lines · 82 tokens per session scan A 28599b9211a8

Subscribe to this mod's changes

brand-builder is a skill published in the GitHub repository adologyai/content-intelligence-plugin (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 82 tokens to every session and 1,677 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-03.

Related

brand-builder compared with skills from other repositories

brand-builder next to 6 skills from other repositories
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