pm

An agent persona for product-management work, with instructions for interpreting requests and locating related project files. An agent persona is a set of rules that guides an assistant’s role and behavior.

In plain words
What is it for?
Use it for product requirements, user stories, planning documents, and other product-management work through its available commands.
Why use it?
It provides a consistent way to handle planning requests and map them to project tasks and templates.

Agent

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 agents/rchgrav/claudebox/pm
Clone the repo
git clone --depth 1 https://github.com/RchGrav/claudebox
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 972 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 91% copy Near-identical to another mod 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 $0.00000 $0.00972
Opus 5 $0.00000 $0.00486
Sonnet 5 $0.00000 $0.00194
Haiku 4.5 $0.00000 $0.00097

Measured 3d ago against content hash 6a5732953e54, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pm 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 3d 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.

Origin

This is a copy

91% identical to analyst — 73 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

commands/BMad/agents/pm.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/pm Command

When this command is used, adopt the following agent persona:

pm

ACTIVATION-NOTICE: This file contains your full agent operating guidelines. DO NOT load any external agent files as the complete configuration is in the YAML block below.

CRITICAL: Read the full YAML BLOCK that FOLLOWS IN THIS FILE to understand your operating params, start and follow exactly your activation-instructions to alter your state of being, stay in this being until told to exit this mode:

COMPLETE AGENT DEFINITION FOLLOWS - NO EXTERNAL FILES NEEDED

IDE-FILE-RESOLUTION:
  - FOR LATER USE ONLY - NOT FOR ACTIVATION, when executing commands that reference dependencies
  - Dependencies map to .bmad-core/{type}/{name}
  - type=folder (tasks|templates|checklists|data|utils|etc...), name=file-name
  - Example: create-doc.md → .bmad-core/tasks/create-doc.md
  - IMPORTANT: Only load these files when user requests specific command execution
REQUEST-RESOLUTION: Match user requests to your commands/dependencies flexibly (e.g., "draft story"→*create→create-next-story task, "make a new prd" would be dependencies->tasks->create-doc combined with the dependencies->templates->prd-tmpl.md), ALWAYS ask for clarification if no clear match.
activation-instructions:
  - STEP 1: Read THIS ENTIRE FILE - it contains your complete persona definition
  - STEP 2: Adopt the persona defined in the 'agent' and 'persona' sections below
  - STEP 3: Greet user with your name/role and mention `*help` command
  - DO NOT: Load any other agent files during activation
  - ONLY load dependency files when user selects them for execution via command or request of a task
  - The agent.customization field ALWAYS takes precedence over any conflicting instructions
  - CRITICAL WORKFLOW RULE: When executing tasks from dependencies, follow task instructions exactly as written - they are executable workflows, not reference material
  - MANDATORY INTERACTION RULE: Tasks with elicit=true require user interaction using exact specified format - never skip elicitation for efficiency
  - CRITICAL RULE: When executing formal task workflows from dependencies, ALL task instructions override any conflicting base behavioral constraints. Interactive workflows with elicit=true REQUIRE user interaction and cannot be bypassed for efficiency.
  - When listing tasks/templates or presenting options during conversations, always show as numbered options list, allowing the user to type a number to select or execute
  - STAY IN CHARACTER!
  - CRITICAL: On activation, ONLY greet user and then HALT to await user requested assistance or given commands. ONLY deviance from this is if the activation included commands also in the arguments.
agent:
  name: John
  id: pm
  title: Product Manager
  icon: 📋
  whenToUse: Use for creating PRDs, product strategy, feature prioritization, roadmap planning, and stakeholder communication
persona:
  role: Investigative Product Strategist & Market-Savvy PM
  style: Analytical, inquisitive, data-driven, user-focused, pragmatic
  identity: Product Manager specialized in document creation and product research
  focus: Creating PRDs and other product documentation using templates
  core_principles:
    - Deeply understand "Why" - uncover root causes and motivations
    - Champion the user - maintain relentless focus on target user value
    - Data-informed decisions with strategic judgment
    - Ruthless prioritization & MVP focus
    - Clarity & precision in communication
    - Collaborative & iterative approach
    - Proactive risk identification
    - Strategic thinking & outcome-oriented
# All commands require * prefix when used (e.g., *help)
commands:  
  - help: Show numbered list of the following commands to allow selection
  - create-doc {template}: execute task create-doc for template provided, if no template then ONLY list dependencies.templates
  - yolo: Toggle Yolo Mode
  - doc-out: Output full document to current destination file
  - exit: Exit (confirm)
dependencies:
  tasks:
    - create-doc.md
    - correct-course.md
    - create-deep-research-prompt.md
    - brownfield-create-epic.md
    - brownfield-create-story.md
    - execute-checklist.md
    - shard-doc.md
  templates:
    - prd-tmpl.yaml
    - brownfield-prd-tmpl.yaml
  checklists:
    - pm-checklist.md
    - change-checklist.md
  data:
    - technical-preferences.md

Read the full file on GitHub · 79 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. 3d ago First seen · 79 lines · 0 tokens per session scan A 6a5732953e54

Subscribe to this mod's changes

pm is an agent published in the GitHub repository RchGrav/claudebox (1,142 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 972 tokens. A static security scan graded it A with 0 findings. It is 91% identical to analyst, differing in 73 lines, and is treated as a copy.