Borrowing it
Nothing to install: this file belongs to hyperfx-ai/marketing-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/hyperfx-ai/marketing-skills/main/CLAUDE.mdgit 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/instructions/hyperfx-ai/marketing-skills/claude-md)<a href="https://agentmods.dev/instructions/hyperfx-ai/marketing-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/hyperfx-ai/marketing-skills/claude-md/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/instructions/hyperfx-ai/marketing-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/hyperfx-ai/marketing-skills/claude-md.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 | $0.02614 | $0.02614 |
| Opus 5 | $0.01307 | $0.01307 |
| Sonnet 5 | $0.00523 | $0.00523 |
| Haiku 4.5 | $0.00261 | $0.00261 |
Grade A, and why
marketing-skills CLAUDE.md 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 10d 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.
This is a copy
89% identical to marketing-skills AGENTS.md — 11 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file gives Claude Code guidance for working in this repository. The contents mirror AGENTS.md; both files are kept in sync so any agent (Claude Code, Codex, Cursor, etc.) gets the same instructions.
What this repo is
A public collection of marketing-domain Agent Skills that wrap the Hyper MCP tool surface. Each skill in skills/ teaches an agent how to drive Hyper's MCP-exposed tools (Google Ads, Meta, Amazon, TikTok, Pinterest, LinkedIn, HyperSEO, Apify scrapers, image / video generation, Gmail, Apollo, Klaviyo, Resend, Beehiiv, GA4, GTM, Search Console, BigQuery, etc.) for a specific marketing job.
Skills are NOT tools. They are markdown instructions plus optional reference files. The actual tool calls come from the connected Hyper MCP at https://app.hyperfx.ai/mcp. The MCP descriptor for each tool is the only source of truth for tool names, arg names, and arg types — never trust skill content over the live MCP catalog when they disagree.
Available skills
Foundation
| Skill | What it does |
|---|---|
brand-context |
Build and maintain one brand-context.md per brand — positioning, ICP, personas, verbatim customer language, voice, proof points — the hub doc every other skill reads before asking the user brand questions. Auto-drafts from the brand's site (Firecrawl) or via interview. |
Paid ads
| Skill | What it does |
|---|---|
google-ads |
Plan and create new Google Ads campaigns (Search, Display, Performance Max) using the blueprint flow, plus GAQL-backed reports and dashboards on existing accounts. |
meta-ads |
Plan and create Meta (Facebook/Instagram) ad campaigns with Advantage+ as the default; includes an account-audit workflow. |
meta-ads-library |
Search the Meta Ads Library for competitor ads, optionally enrich with page contact info, and surface structured ad-intelligence summaries inline in chat. |
amazon-ads |
Plan and create Amazon Sponsored Products campaigns with strategic targeting and budget rules. |
tiktok-ads |
Plan and create TikTok Ads (Traffic, Reach, Conversions, App Promotion, Video View) with strict objective-specific parameter validation. |
pinterest-ads |
Plan and create Pinterest Ads with microcurrency budgeting, CBO rules, and conversion-tag handling. |
reddit-ads |
Plan and create Reddit Ads campaigns — promoted posts, subreddit / interest / geo targeting, audiences, Reddit pixel conversion tracking, and reporting, with micro-currency budgets. |
snapchat-ads |
Plan and create Snapchat Ads campaigns — ad squads, media upload, creatives, Snap Pixel conversion tracking, and reporting, with micro-currency budgets and JSON-Patch updates. |
openai-ads |
Plan and manage OpenAI Ads (ChatGPT ads) — chat_card and product-feed creatives, geo targeting, custom audiences, conversion tracking, and insights. |
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.
- 10d ago First seen · 109 lines · 2,614 tokens per session scan A 79a9bacfcda0
marketing-skills CLAUDE.md is an instructions file published in the GitHub repository hyperfx-ai/marketing-skills (85 stars, last pushed 15d ago), licensed MIT. It adds 2,614 tokens to every session, about $0.0131 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to marketing-skills AGENTS.md, differing in 11 lines, and is treated as a copy.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.