Borrowing it
Nothing to install: this file belongs to superamped/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/superamped/ai-marketing-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/superamped/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/superamped/ai-marketing-skills/agents-md)<a href="https://agentmods.dev/instructions/superamped/ai-marketing-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/superamped/ai-marketing-skills/agents-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/superamped/ai-marketing-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/superamped/ai-marketing-skills/agents-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 | $0.00916 | $0.00916 |
| Opus 5 | $0.00458 | $0.00458 |
| Sonnet 5 | $0.00183 | $0.00183 |
| Haiku 4.5 | $0.00092 | $0.00092 |
Grade A, and why
ai-marketing-skills AGENTS.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 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Marketing Skills for AI Agents
This repository contains portable AI marketing skills in skills/. Each package follows the Agent Skills format with a SKILL.md file containing YAML frontmatter and procedural instructions for a focused marketing job.
Available Skills
Ads
skills/ads/ad-angles/SKILL.md— Brainstorm ad concepts using 5 messaging angles, formats, and visual stylesskills/ads/ad-campaign-analyzer/SKILL.md— Red/Yellow/Green campaign grading with creative fatigue detection and scaling recommendationsskills/ads/ad-creative/SKILL.md— Render ad concepts as HTML with 5 template styles, optionally screenshot via Playwright MCP
Content
skills/content/content-strategy/SKILL.md— Plan content pillars, topic clusters, editorial calendar, and keyword mapping by buyer stageskills/content/social-post-writer/SKILL.md— Generate social posts from a topic using 9 proven templates with platform adaptationskills/content/content-repurposer/SKILL.md— Turn long-form content into a week of short-form social posts via Hub & Spoke method
Conversion
skills/conversion/conversion-audit/SKILL.md— 53-point conversion audit covering customer focus, narrative arc, copy, design, CTAs, and proof
skills/reddit/reply-writer/SKILL.md— Draft native Reddit replies in 3 rotating formats with subreddit tone calibration
Research
skills/research/channel-discovery/SKILL.md— Map marketing channels for a target audience, score on 5 criteria, recommend top 3skills/research/community-discovery/SKILL.md— Discover 100+ online communities across Reddit, Slack, Discord, Facebook, LinkedIn, and forumsskills/research/competitor-content-analysis/SKILL.md— Analyze a competitor's content engine — inventory, SEO plays, comparison pages, gapsskills/research/competitor-discovery/SKILL.md— Search the web for competitors, produce a ranked list of direct/adjacent/tangential competitorsskills/research/competitor-keyword-analysis/SKILL.md— Map a competitor's organic search presence via Keywords Everywhere MCPskills/research/competitor-landscape/SKILL.md— Cross-competitor comparison — feature matrix, positioning map, SWOT, strategic recommendationsskills/research/competitor-site-analysis/SKILL.md— Extract structured data from a competitor's website across 5 dimensionsskills/research/influencer-discovery/SKILL.md— Discover 100+ influencers across YouTube, X/Twitter, blogs, newsletters, and podcastsskills/research/keyword-research/SKILL.md— Expand a seed keyword into clustered keyword universe via Keywords Everywhere MCP
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 · 59 lines · 916 tokens per session scan A e1c8ae8b4d95
ai-marketing-skills AGENTS.md is an instructions file published in the GitHub repository superamped/ai-marketing-skills (67 stars, last pushed 25d ago), licensed MIT. It adds 916 tokens to every session, about $0.0046 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.
Other instructions, from other repositories
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
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).
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.
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).