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brand-snapshot

brand-snapshot is a skill for Claude Code, Codex from TheMattBerman/creator-breakout-kit. It costs 66 tokens per session (522 once invoked), scanned A, original, MIT.

A structured summary of a brand, its products, customers, motivations, objections, and supporting research for a Creator Breakout Kit.

In plain words
What is it for?
Use it to summarize what a brand sells, map buyer psychology, identify objections and desired outcomes, record platform notes, and track research coverage and confidence.
Why use it?
It turns scattered website and business information into a reliable starting point for developing creator-content ideas.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 9repo 4mo ago A scan 66 tokens original MIT

Good fit Use it to summarize what a brand sells, map buyer psychology, identify objections and desired outcomes, record platform notes, and track research coverage and confidence.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/themattberman/creator-breakout-kit/brand-snapshot
View source ↗ TheMattBerman/creator-breakout-kit
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 TheMattBerman/creator-breakout-kit --skill brand-snapshot
Clone the repo
git clone --depth 1 https://github.com/TheMattBerman/creator-breakout-kit

Made for: Claude Code, Codex.

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-snapshot

README.md
[![agentmods](https://agentmods.dev/badge/skills/themattberman/creator-breakout-kit/brand-snapshot/github.svg)](https://agentmods.dev/skills/themattberman/creator-breakout-kit/brand-snapshot)
Your own site
<a href="https://agentmods.dev/skills/themattberman/creator-breakout-kit/brand-snapshot"><img src="https://agentmods.dev/badge/skills/themattberman/creator-breakout-kit/brand-snapshot/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-snapshot

Your own site · 80×15
<a href="https://agentmods.dev/skills/themattberman/creator-breakout-kit/brand-snapshot"><img src="https://agentmods.dev/badge/skills/themattberman/creator-breakout-kit/brand-snapshot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 522 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 $0.00066 $0.00522
Opus 5 $0.00033 $0.00261
Sonnet 5 $0.00013 $0.00104
Haiku 4.5 $0.00007 $0.00052

Measured 9d ago against content hash 868e0409a1db, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

brand-snapshot 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 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/firecrawl_brand_discovery.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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-snapshot/SKILL.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Brand Snapshot

Purpose

Convert raw brand inputs into a decision-ready snapshot for concepting.

Package contract

Use from the creator-breakout-kit repo root. Paths are relative to that root.

Primary data source

  • Preferred: Firecrawl-style brand discovery across homepage, product pages, founder/about pages, FAQ, bundles, routines, and retailer/supporting pages.
  • Fallback: manual site fetch + search when crawl infrastructure is unavailable.

Inputs

  • Brand website/LP context
  • Product and offer
  • Audience details
  • Price point (if known)
  • Objections, desires, constraints

Outputs

  • brand_summary (what they sell, for whom, why now)
  • buyer_psychology_map
  • top_3_objections
  • top_2_desire_states
  • platform_notes
  • brand_discovery_confidence
  • source_coverage_notes

Workflow

  1. For Firecrawl-backed runs, run python3 skills/brand-snapshot/scripts/firecrawl_brand_discovery.py --brand-name "$BRAND_NAME" --brand-url "$BRAND_URL" --out-dir "$RESEARCH_DIR".
  2. If Firecrawl is unavailable, use manual site fetch/search and label the run quick-pass or brand-pass as appropriate.
  3. Read skills/brand-snapshot/references/firecrawl-brand-discovery.md before interpreting brand discovery outputs.
  4. Distill what the product does and why buyer cares.
  5. Identify emotional and identity drivers.
  6. Rank objections by likely conversion drag.
  7. Translate into content-usable language (hooks, proof, story).
  8. Flag what is inferred versus directly evidenced from brand materials.

Prompting guidance

  • Use niche language from the category.
  • Avoid broad statements like "authentic UGC works."
  • Prefer concrete buyer tensions and outcome language.
  • Pull exact phrases worth reusing from brand pages when they clarify positioning.

Quality bar

  • Could drive a creator concept pass without follow-up questions about the brand.
  • Objections are specific and behaviorally realistic.
  • Desire states are testable in hook language.
  • Confidence and source coverage are explicit.

Read the full file on GitHub · 55 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 9d ago First seen · 55 lines · 66 tokens per session scan A 868e0409a1db

Subscribe to this mod's changes

brand-snapshot is a skill published in the GitHub repository TheMattBerman/creator-breakout-kit (9 stars, last pushed 4mo ago), licensed MIT. It adds 66 tokens to every session and 522 once invoked, about $0.0003 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 2026-08-31.

Marketing and SEOai-agentscreator-economycreator-marketingmarketing-strategyugc
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