Borrowing it
Nothing to install: this file belongs to stefanoskarakasis/Product-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/stefanoskarakasis/Product-Marketing-Skills/main/AGENTS.mdgit clone --depth 1 https://github.com/stefanoskarakasis/Product-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/stefanoskarakasis/product-marketing-skills/agents-md)<a href="https://agentmods.dev/instructions/stefanoskarakasis/product-marketing-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/stefanoskarakasis/product-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/stefanoskarakasis/product-marketing-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/stefanoskarakasis/product-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 | $0.01301 | $0.01301 |
| Opus 5 | $0.00651 | $0.00651 |
| Sonnet 5 | $0.00260 | $0.00260 |
| Haiku 4.5 | $0.00130 | $0.00130 |
Grade A, and why
Product-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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Guidelines for AI agents working in this repository.
Repository Overview
This repository contains PMM Skills for AI agents following the
Agent Skills specification.
This repo also serves as a Claude Code plugin marketplace via
.claude-plugin/marketplace.json.
- Name: Product Marketing Skills
- GitHub: stefanoskarakasis/Product-Marketing-Skills
- Creator: Stefanos Karakasis
- License: MIT
Repository Structure
Product-Marketing-Skills/
├── .claude-plugin/
│ ├── marketplace.json # Claude Code plugin marketplace manifest
│ └── plugin.json # Root plugin manifest
├── product-marketing-context/ # The brain — product-marketing-context plugin
├── pmm-go-to-market/ # Go-to-market strategy + workflow orchestration
├── pmm-positioning/ # Positioning & messaging
├── pmm-execution/ # Day-to-day PMM execution
├── pmm-toolkit/ # PMM utilities
├── pmm-meta/ # Meta skills (skill quality, learning, verification)
├── context/ # Guardrails: meta-patterns.md, read by every skill's pre-flight
├── CONTRIBUTING.md
├── SKILL-SPEC.md # Skill authoring standard
├── LICENSE
├── README.md
├── QUICK-START.md
├── CHANGELOG.md # Repo-wide release log — see Versioning below
└── AGENTS.md # AI agent guidelines
Build / Lint / Test Commands
Skills are content-only (no build step). Verify manually:
- YAML frontmatter is valid
namefield matches directory name exactlynameis 1-64 chars, lowercase alphanumeric and hyphens onlydescriptionis 1-1024 characters- Brain-dependent skills read from
/foundation/brain.mdfor shared context
Agent Skills Specification
Skills follow the Agent Skills spec and this repo's own SKILL-SPEC.md, which is the canonical authoring standard for this repo specifically.
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 · 150 lines · 1,301 tokens per session scan A 3f06fe67be7b
Product-Marketing-Skills AGENTS.md is an instructions file published in the GitHub repository stefanoskarakasis/Product-Marketing-Skills (5 stars, last pushed yesterday), licensed MIT. It adds 1,301 tokens to every session, about $0.0065 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.
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).