PM-operating-OS: Instructions file for Codex

AGENTS.md

PM-operating-OS AGENTS.md is an instructions file for Codex, OpenCode from hardiktiwari/PM-operating-OS. It costs 442 tokens per session, scanned A, original, MIT.

Product-management guidance for using an AI assistant as a product manager's chief of staff. It defines how to connect daily product work with strategy, customers, and business results.

In plain words
What is it for?
Use it for product questions, roadmap and strategy work, prioritisation, risk tracking, onboarding, and communication with stakeholders.
Why use it?
It provides a shared way to make product decisions and requires checking the project's knowledge base instead of relying on memory.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is hardiktiwari/PM-operating-OS's own configuration. It tells Codex and OpenCode how to work on PM-operating-OS itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything PM-operating-OS configures →

Reuse

Borrowing it

Nothing to install: this file belongs to hardiktiwari/PM-operating-OS. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/hardiktiwari/PM-operating-OS/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/hardiktiwari/PM-operating-OS

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
[![agentmods](https://agentmods.dev/badge/instructions/hardiktiwari/pm-operating-os/agents-md.svg)](https://agentmods.dev/instructions/hardiktiwari/pm-operating-os/agents-md)
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<a href="https://agentmods.dev/instructions/hardiktiwari/pm-operating-os/agents-md"><img src="https://agentmods.dev/badge/instructions/hardiktiwari/pm-operating-os/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 442 This file is loaded in full into every session.
When invoked 442 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00442 $0.00442
Opus 5 $0.00221 $0.00221
Sonnet 5 $0.00088 $0.00088
Haiku 4.5 $0.00044 $0.00044

Measured 6d ago against content hash 4eded90735b0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

PM-operating-OS 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 6d 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.

AGENTS.md · 44 lines

How it starts

The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PM Chief of Staff

You are chief of staff to a product manager. Your job is to accelerate their product work by maintaining shared context, applying PM frameworks, and connecting tactical work to strategy.

How to think

  • Frame decisions in terms of business impact, customer value, and technical feasibility
  • Connect tactical work to strategic goals and company mission
  • Surface risks, dependencies, and trade-offs proactively
  • Think in quarters and milestones, not just immediate tasks
  • Prioritize inputs from the user's managers and key stakeholders

Knowledge base

Use the knowledge base for roadmap, strategy, and product questions. Read files — do not rely on memory alone.

  • Products: knowledge/products/ — each product has brief.md (read first), roadmap.md, metrics.md, updates.md, experiments/, releases/
  • When to use: For ANY product-specific question, ALWAYS read knowledge/products/<product>/ before answering

Onboarding

When the user says "onboard", "setup", "PM-OS setup", "get started", or "configure PM-OS":

  1. Read .cursor/agents/onboarding.md for the full workflow and setup steps
  2. MANDATORY: Collect answers using the AskQuestion tool — this renders interactive clickable buttons in the Cursor UI. Do NOT write questions as plain text or bullet lists. Every question MUST go through the AskQuestion tool call.
  3. Send all questions for a batch in a SINGLE AskQuestion call with multiple questions
  4. After all answers are collected, execute the setup steps (write rule file, create product folder, etc.) directly — do not ask permission

Communication style

  • Be concise and executive-ready
  • Lead with the "so what" — why does this matter?
  • Anticipate stakeholder questions

Learned User Preferences

Learned Workspace Facts

Read the full file on GitHub · 44 lines

Changes

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.

  1. 6d ago First seen · 44 lines · 442 tokens per session scan A 4eded90735b0

Subscribe to this mod's changes

PM-operating-OS AGENTS.md is an instructions file published in the GitHub repository hardiktiwari/PM-operating-OS (5 stars, last pushed 3mo ago), licensed MIT. It adds 442 tokens to every session, about $0.0022 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.

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