behavioral-pm

behavioral-pm is a skill for Claude Code from aroyburman-codes/pm-skills. It costs 25 tokens per session (1,290 once invoked), scanned A, original, MIT.

A structured guide for answering behavioural product manager interview questions, such as questions about leadership, conflict, failure, and working with others.

In plain words
What is it for?
Use it to prepare answers about your background, difficult situations, influencing people, ambiguity, and why you want an AI product role.
Why use it?
It helps turn personal experiences into clear answers that show judgment, collaboration, and leadership.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the pm-skills plugin — 17 skills shipped together

Good fit Use it to prepare answers about your background, difficult situations, influencing people, ambiguity, and why you want an AI product role.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aroyburman-codes/pm-skills/behavioral-pm
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.

Any agent
npx skills add aroyburman-codes/pm-skills --skill behavioral-pm
Clone the repo
git clone --depth 1 https://github.com/aroyburman-codes/pm-skills

Made for: Claude Code.

Or install pm-skills, the plugin that ships this one along with the rest of its 17 skills.

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 behavioral-pm

README.md
[![agentmods](https://agentmods.dev/badge/skills/aroyburman-codes/pm-skills/behavioral-pm/github.svg)](https://agentmods.dev/skills/aroyburman-codes/pm-skills/behavioral-pm)
Your own site
<a href="https://agentmods.dev/skills/aroyburman-codes/pm-skills/behavioral-pm"><img src="https://agentmods.dev/badge/skills/aroyburman-codes/pm-skills/behavioral-pm/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.

agentmods 80×15 button for behavioral-pm

Your own site · 80×15
<a href="https://agentmods.dev/skills/aroyburman-codes/pm-skills/behavioral-pm"><img src="https://agentmods.dev/badge/skills/aroyburman-codes/pm-skills/behavioral-pm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,290 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00025 $0.01290
Opus 5 $0.00013 $0.00645
Sonnet 5 $0.00005 $0.00258
Haiku 4.5 $0.00003 $0.00129

Measured 9d ago against content hash 5b9f0b48bb4f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

behavioral-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 9d 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.

skills/behavioral-pm/SKILL.md · 133 lines

How it starts

The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Behavioral PM Skill

Apply a structured framework to PM behavioral questions targeting AI product roles.

When to Use

  • User asks "Tell me about a time when..."
  • User asks about conflict, failure, leadership, influence, ambiguity
  • User asks "Why this company?" or "Why PM?" or "Why AI?"
  • User says /behavioral-pm followed by a question
  • Any behavioral, situational, or "tell me about yourself" question

Context

  • Tuned for: AI product roles at frontier AI companies
  • What matters: Intellectual humility, comfort with ambiguity, collaborative leadership, and genuine passion for AI's impact on the world.
  • Key difference from big tech: AI companies care less about "driving results at scale" and more about "navigating uncertainty with good judgment" and "working effectively with researchers."

Values by AI Company Archetype

The Capability-Focused Lab

  • Bias toward action and ambition
  • Move fast, be bold, push the frontier of what's possible
  • Comfort with rapid pivots and high-stakes decisions
  • Collaborative with researchers

The Safety-Focused Lab

  • Safety-first mindset, intellectual rigor
  • Careful, principled, thoughtful approach
  • Willingness to slow down when safety demands it
  • Strong opinions loosely held

The Research-First Lab

  • Scientific rigor, research excellence
  • Solve fundamental problems, then apply them broadly
  • Bridging research and product
  • Long-term thinking over short-term wins

Framework: Enhanced STAR

Structure (Proportions Matter)

  • Situation (10%): Set the scene concisely. Company, role, stakes.
  • Task (10%): Your specific responsibility. What was YOUR job here?
  • Action (60%): The meat. What YOU specifically did. Decisions, trade-offs, influence tactics.
  • Result (15%): Quantifiable outcomes. Business impact. What changed.
  • + Reflection (5%): What you learned. What you'd do differently. How it shaped your PM philosophy.

The Reflection Step

After every STAR answer, add one of:

  • Growth signal: "If I faced this again, I'd..."
  • Pattern recognition: "This taught me a general principle about..."
  • Company connection: "This is why I'm drawn to [company] — because..."

Read the full file on GitHub · 133 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. 9d ago First seen · 133 lines · 25 tokens per session scan A 5b9f0b48bb4f

Subscribe to this mod's changes

behavioral-pm is a skill published in the GitHub repository aroyburman-codes/pm-skills (25 stars, last pushed 6mo ago), licensed MIT. It adds 25 tokens to every session and 1,290 once invoked, about $0.0001 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.

Related

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