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 hyperfx-ai/marketing-skills --skill brand-contextgit clone --depth 1 https://github.com/hyperfx-ai/marketing-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/hyperfx-ai/marketing-skills/brand-context)<a href="https://agentmods.dev/skills/hyperfx-ai/marketing-skills/brand-context"><img src="https://agentmods.dev/badge/skills/hyperfx-ai/marketing-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/hyperfx-ai/marketing-skills/brand-context"><img src="https://agentmods.dev/badge/skills/hyperfx-ai/marketing-skills/brand-context.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00102 | $0.02122 |
| Opus 5 | $0.00051 | $0.01061 |
| Sonnet 5 | $0.00020 | $0.00424 |
| Haiku 4.5 | $0.00010 | $0.00212 |
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 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Context
Build and maintain one brand-context.md file per brand: the single source of truth for what the business sells, who it sells to, how it talks, and what it can prove. Every other skill in this collection reads this file before asking the user brand questions, so the user explains their business once — not once per task.
This is the hub in a hub-and-spoke model. Ad copy, blog posts, cold email, social content, and landing-page work are all downstream of the same positioning and voice; when those live in one maintained doc, every downstream skill starts warm and stays consistent.
The file contract. The doc lives in persistent storage at a stable path —
/files/<brand-slug>/brand-context.md— and is reused at that SAME path every time. Create it once, then update it in place; never recreate it from scratch when it already exists (you would destroy verbatim customer language and proof points the user curated). If a run touches the doc, bump theLast updatedline.
Requirements
- Hyper MCP connected. https://app.hyperfx.ai/mcp — needed for the file tools that persist the doc, and for auto-draft.
- Recommended for auto-draft, enabled at https://app.hyperfx.ai/apps: Firecrawl (read the brand's site and extract visual identity). Without it, skip auto-draft and use the interview path — the skill still works.
- Optional enrichment: the Apify scrapers used by
customer-research(verbatim customer language) and HyperSEO (competitive landscape). Both are nice-to-have; mark any section built without real data as unverified rather than inventing content.
Tool surface
| Job | Tools |
|---|---|
Read, create, update brand-context.md |
your file tools (read_file, create_file, edit_file) |
| Auto-draft from the brand's site | firecrawl_urls_scrape (homepage, about, pricing, product pages), web_scrape_page fallback |
| Visual identity (colors, logo, typography) | firecrawl_branding_extract |
| Verbatim customer language (optional) | defer to customer-research |
| Competitive landscape (optional) | defer to competitor-intel, seo-research |
What ships with it
1 file 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.
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 · 104 lines · 102 tokens per session scan A 1ababf0ed23f
brand-context is a skill published in the GitHub repository hyperfx-ai/marketing-skills (86 stars, last pushed 16d ago), licensed MIT. It adds 102 tokens to every session and 2,122 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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