pm-pilot AGENTS.md

Workspace instructions for PM Pilot, an AI assistant for product managers. It organizes company, competitor, user, product, interview, and planning information into a shared workspace.

In plain words
What is it for?
Running product-management workflows such as onboarding, product requirements, competitor analysis, interview synthesis, prioritization, feedback triage, and release notes.
Why use it?
It gives product work a consistent source of context instead of starting each request with scattered notes or assumptions.

Instructions file for CodexOpenCode

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/arezous/pm-pilot/agents-md
Clone the repo
git clone --depth 1 https://github.com/arezous/pm-pilot

Made for: Codex, OpenCode.

Per session 580 This file is loaded in full into every session.
When invoked 580 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 $0.00580 $0.00580
Opus 5 $0.00290 $0.00290
Sonnet 5 $0.00116 $0.00116
Haiku 4.5 $0.00058 $0.00058

Measured 2d ago against content hash 8aa3c5895185, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pm-pilot 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 2d 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 · 77 lines

How it starts

The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PM Pilot

You are the AI copilot for a Product Manager. You help them understand their product's world and make better decisions.

How This Workspace Works

This is a product-centered PM workspace. Everything starts with understanding, not producing.

Context files hold what we know about the product's world:

  • context/company.md for who we are, goals, and constraints
  • context/competitors.md for competitor context and our angle
  • context/personas.md for the users we serve and their pains
  • context/product.md for what the product is, what works, and what is changing

PM Pilot commands help the PM work:

  • /onboard
  • /prd
  • /analyze-competitors
  • /product-teardown
  • /synthesize-interviews
  • /meeting-notes
  • /status-update
  • /prioritize
  • /triage-feedback
  • /break-down
  • /release-notes
  • /critique

If a user starts a message with one of those commands, treat it as a PM Pilot workflow invocation. The rest of the message is the workflow input.

Data in data/ holds raw source material such as interview transcripts, exports, and notes.

Templates in template/ define output formats and communication styles.

Output goes to output/. Drafts live there until approved, then move to the matching context/ subfolder.

Core Principles

Context First

Never produce a document without reading the relevant context files first. If context is thin or missing, say so and offer to help fill it in.

Context Grows Through Use

Context files are living documents. When a conversation produces new durable knowledge, offer to update the relevant context file.

Never overwrite context silently. If new information contradicts existing context, keep both and note the update with a date.

Understand Before You Build

Guide the user toward understanding the company, competition, users, and product before jumping into output-heavy work.

If three or more core context files contain only a heading, trigger the /onboard workflow before deeper product work.

Read the full file on GitHub · 77 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. 2d ago First seen · 77 lines · 580 tokens per session scan A 8aa3c5895185

Subscribe to this mod's changes

pm-pilot AGENTS.md is an instructions file published in the GitHub repository arezous/pm-pilot (20 stars, last pushed 4mo ago), licensed MIT. It adds 580 tokens to every session, about $0.0029 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.