product_management

product_management is a cursor rule for Cursor from jlcases/paelladoc. It costs 0 tokens per session (4,613 once invoked), scanned A, original, AGPL-3.0.

A system for managing product work such as user stories, tasks, sprints, and meeting notes. A sprint is a short, planned period of development work.

In plain words
What is it for?
It is for recording user needs, planning tasks and sprints, and maintaining meeting notes in PAELLADOC.
Why use it?
It helps keep product work and meeting information organised in one process.

Cursor rule for Cursor

Written for Cursor: a Cursor rule (.mdc).

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 rules/jlcases/paelladoc/product_management
Clone the repo
git clone --depth 1 https://github.com/jlcases/paelladoc

Made for: Cursor.

Wrote 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.

agentmods badge for product_management

README.md
[![agentmods](https://agentmods.dev/badge/rules/jlcases/paelladoc/product_management.svg)](https://agentmods.dev/rules/jlcases/paelladoc/product_management)
Your own site
<a href="https://agentmods.dev/rules/jlcases/paelladoc/product_management"><img src="https://agentmods.dev/badge/rules/jlcases/paelladoc/product_management.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 4,613 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00000 $0.04613
Opus 5 $0.00000 $0.02306
Sonnet 5 $0.00000 $0.00923
Haiku 4.5 $0.00000 $0.00461

Measured 6d ago against content hash ecf4b0f8cca8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

product_management 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.

legacy/rules/commands/product/product_management.mdc · 594 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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 · 594 lines · 0 tokens per session scan A ecf4b0f8cca8

Subscribe to this mod's changes

product_management is a cursor rule published in the GitHub repository jlcases/paelladoc (337 stars, last pushed 3mo ago), licensed AGPL-3.0. It costs nothing until one of its globs matches a file; then it loads 4,613 tokens. 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.