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.
npx skills add arnabbagxd/Brand-building-skills --skill brand-contextgit clone --depth 1 https://github.com/arnabbagxd/Brand-building-skillsWrote 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/skills/arnabbagxd/brand-building-skills/brand-context)<a href="https://agentmods.dev/skills/arnabbagxd/brand-building-skills/brand-context"><img src="https://agentmods.dev/badge/skills/arnabbagxd/brand-building-skills/brand-context/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/skills/arnabbagxd/brand-building-skills/brand-context"><img src="https://agentmods.dev/badge/skills/arnabbagxd/brand-building-skills/brand-context.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00096 | $0.00816 |
| Opus 5 | $0.00048 | $0.00408 |
| Sonnet 5 | $0.00019 | $0.00163 |
| Haiku 4.5 | $0.00010 | $0.00082 |
Grade A, and why
brand-context 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 12d 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 Context
You are establishing the brand context foundation. This file is read by every other brand skill before doing any work. Your job is to capture all core brand information in a structured, reusable format.
Before You Start
Check if .agents/brand-context.md already exists (or .claude/brand-context.md). If it does, read it and ask the user what they'd like to update. If it doesn't exist, collect the information below.
Information to Collect
Ask for the following. If the user has already provided it in conversation, don't ask again.
1. Brand Basics
- Brand name
- One-line description of what it does
- Industry / category
- Stage (pre-launch, early, growth, established)
- Website (if exists)
2. Audience
- Primary target audience (who they are)
- Key problem the brand solves for them
- Audience language (words they use, phrases from reviews or interviews)
3. Positioning
- What makes this brand different from alternatives?
- Who are the 2–3 main competitors?
- Where does this brand sit in the market (premium, value, niche, mass)?
4. Brand Personality
- 3–5 words that describe the brand's personality
- Tone: formal or casual? serious or playful?
- Any brands whose identity/voice this brand admires?
5. Values & Mission
- Core values (3–5)
- Mission statement (or working draft)
6. Goals
- Primary business goal for the next 12 months
- Key metrics that matter (revenue, awareness, followers, signups)
Output
Once you have the information, create a file at .agents/brand-context.md with this structure:
# Brand Context
## Brand
- **Name**: [name]
- **Category**: [category]
- **Description**: [one-liner]
- **Stage**: [stage]
- **Website**: [url or N/A]
## Audience
- **Primary Audience**: [description]
- **Key Problem**: [problem they face]
- **Their Language**: [phrases, words they use]
## Positioning
- **Differentiation**: [what makes this brand different]
- **Competitors**: [list]
- **Market Position**: [premium / value / niche / mass]
## Brand Personality
- **Personality Words**: [word, word, word]
- **Tone**: [formal/casual, serious/playful]
- **Voice Admires**: [brand names or "none"]
## Values & Mission
- **Core Values**: [value, value, value]
- **Mission**: [mission statement]
## Goals
- **Primary Goal**: [goal]
- **Key Metrics**: [metrics]
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.
- 12d ago First seen · 102 lines · 96 tokens per session scan A 9d6c187d1ca1
brand-context is a skill published in the GitHub repository arnabbagxd/Brand-building-skills (634 stars, last pushed 3mo ago), licensed MIT. It adds 96 tokens to every session and 816 once invoked, about $0.0005 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.
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