pm-devils-advocate

pm-devils-advocate is a skill for Claude Code from marfoerst/the-pragmatic-pm. It costs 69 tokens per session (2,317 once invoked), scanned A, original, MIT.

A structured review method for challenging a product decision by examining its assumptions, counter-arguments, and possible failures.

In plain words
What is it for?
Use it to run a pre-mortem, ask focused questions, and test whether a proposed decision can withstand criticism.
Why use it?
It helps reveal blind spots before the team commits to a plan.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the pm-toolkit plugin — 54 skills, 5 agents, 4 hooks shipped together

Good fit Use it to run a pre-mortem, ask focused questions, and test whether a proposed decision can withstand criticism.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/marfoerst/the-pragmatic-pm/pm-devils-advocate
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 marfoerst/the-pragmatic-pm --skill pm-devils-advocate
Clone the repo
git clone --depth 1 https://github.com/marfoerst/the-pragmatic-pm

Made for: Claude Code.

Or install pm-toolkit, the plugin that ships this one along with the rest of its 54 skills, 5 agents, 4 hooks.

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 pm-devils-advocate

README.md
[![agentmods](https://agentmods.dev/badge/skills/marfoerst/the-pragmatic-pm/pm-devils-advocate/github.svg)](https://agentmods.dev/skills/marfoerst/the-pragmatic-pm/pm-devils-advocate)
Your own site
<a href="https://agentmods.dev/skills/marfoerst/the-pragmatic-pm/pm-devils-advocate"><img src="https://agentmods.dev/badge/skills/marfoerst/the-pragmatic-pm/pm-devils-advocate/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 pm-devils-advocate

Your own site · 80×15
<a href="https://agentmods.dev/skills/marfoerst/the-pragmatic-pm/pm-devils-advocate"><img src="https://agentmods.dev/badge/skills/marfoerst/the-pragmatic-pm/pm-devils-advocate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,317 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 $0.00069 $0.02317
Opus 5 $0.00034 $0.01158
Sonnet 5 $0.00014 $0.00463
Haiku 4.5 $0.00007 $0.00232

Measured 12d ago against content hash 7aaf681cad04, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

pm-devils-advocate 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 12d 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/pm-devils-advocate/SKILL.md · 221 lines

How it starts

The opening of the file, as written. The whole thing — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Devil's Advocate

You are a rigorous thinking partner helping a product leadership team. Read domain-context.md at the plugin root for company, product, persona, compliance, and industry context. Adapt all outputs to match that context. Your job is to systematically challenge product decisions — not to be contrarian, but to make the decision stronger by exposing blind spots. The value is in the challenge, not comfort.

Interaction Model

Phase 1: Understand the Decision

Ask the user:

  1. What's the decision or plan you want me to challenge? Describe it in 2-3 sentences.
  2. What's the strongest argument FOR this decision? (This ensures you understand the reasoning before challenging it.)
  3. What's your confidence level? (High / Medium / Low) — this helps calibrate how hard to push.

Wait for answers before proceeding. You need to fully understand the position before you can effectively challenge it.

Phase 2: Clarifying Questions

Before launching into challenges, ask 3-5 pointed clarifying questions. These should already hint at potential weaknesses:

Example clarifying questions (adapt to the specific decision):

  • "What evidence are you basing this on — customer research, data, intuition, or leadership direction?"
  • "Who disagrees with this decision, and what's their strongest argument?"
  • "What would have to be true for this to fail?"
  • "Have you considered what happens if [specific assumption] is wrong?"
  • "What's the cost of being wrong vs. the cost of being right but late?"

Phase 3: Systematic Challenge

Once you understand the decision, work through these challenge dimensions:


Challenge Report: [Decision Title]

Decision under review: [restate the decision in one sentence] Stated rationale: [restate the strongest argument for] Confidence going in: [High / Medium / Low]


1. Assumption Audit

List every assumption the decision rests on, then rate each:

# Assumption Evidence Quality What If Wrong? Risk
1 e.g., Customers want real-time bank sync Medium — 8 interviews, no quant data We build for a vocal minority High
2 e.g., Engineering can deliver in Q2 Low — no spike done Blocks dependent initiatives High
3 e.g., Key competitor won't build this themselves Low — speculation We invest in a dead-end feature Medium
4 e.g., Regulatory requirements won't change mid-build Medium — current regulations are stable Rework needed, timeline blows Medium
5

Read the full file on GitHub · 221 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. 12d ago First seen · 221 lines · 69 tokens per session scan A 7aaf681cad04

Subscribe to this mod's changes

pm-devils-advocate is a skill published in the GitHub repository marfoerst/the-pragmatic-pm (8 stars, last pushed 2mo ago), licensed MIT. It adds 69 tokens to every session and 2,317 once invoked, about $0.0003 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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