Borrowing it
Nothing to install: this file belongs to product-on-purpose/pm-skills-mcp. 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/product-on-purpose/pm-skills-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/product-on-purpose/pm-skills-mcpWrote 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/product-on-purpose/pm-skills-mcp/agents-md)<a href="https://agentmods.dev/instructions/product-on-purpose/pm-skills-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/product-on-purpose/pm-skills-mcp/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/product-on-purpose/pm-skills-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/product-on-purpose/pm-skills-mcp/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 | $0.01109 | $0.01109 |
| Opus 5 | $0.00554 | $0.00554 |
| Sonnet 5 | $0.00222 | $0.00222 |
| Haiku 4.5 | $0.00111 | $0.00111 |
Grade A, and why
pm-skills-mcp 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 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PM-Skills MCP
MCP server exposing 24 professional PM skills as tools, resources, and prompts
This MCP server provides programmatic access to the PM-Skills library via the Model Context Protocol. AI agents can invoke skill tools, read skill resources, and use guided prompts.
Tools
Discover Phase
pm_interview_synthesis
Turn user research interviews into actionable insights, patterns, and recommendations.
pm_competitive_analysis
Create structured competitive analysis comparing features, positioning, and strategy.
pm_stakeholder_summary
Document stakeholder needs, concerns, and influence for a project or initiative.
Define Phase
pm_problem_statement
Create a clear problem framing document with user impact, business context, and success criteria.
pm_hypothesis
Define a testable hypothesis with clear success metrics and validation approach.
pm_opportunity_tree
Create an opportunity solution tree mapping outcomes to opportunities and solutions.
pm_jtbd_canvas
Create a Jobs to be Done canvas capturing functional, emotional, and social dimensions.
Develop Phase
pm_solution_brief
Create a concise one-page solution overview with approach, decisions, and trade-offs.
pm_spike_summary
Document results of a time-boxed technical or design exploration (spike).
pm_adr
Create an Architecture Decision Record following the Nygard format.
pm_design_rationale
Document reasoning behind design decisions including alternatives and trade-offs.
Deliver Phase
pm_prd
Create a comprehensive Product Requirements Document for engineering handoff.
pm_user_stories
Generate user stories with clear acceptance criteria from product requirements.
pm_edge_cases
Document edge cases, error states, boundary conditions, and recovery paths.
pm_launch_checklist
Create comprehensive pre-launch checklist covering all readiness areas.
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 · 185 lines · 1,109 tokens per session scan A f3cd52e8f498
pm-skills-mcp AGENTS.md is an instructions file published in the GitHub repository product-on-purpose/pm-skills-mcp (20 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 1,109 tokens to every session, about $0.0055 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
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).
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.
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.