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.
npx skills add marfoerst/the-pragmatic-pm --skill pm-devils-advocategit clone --depth 1 https://github.com/marfoerst/the-pragmatic-pmWrote 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.
[](https://agentmods.dev/skills/marfoerst/the-pragmatic-pm/pm-devils-advocate)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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:
- What's the decision or plan you want me to challenge? Describe it in 2-3 sentences.
- What's the strongest argument FOR this decision? (This ensures you understand the reasoning before challenging it.)
- 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 |
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.
- 12d ago First seen · 221 lines · 69 tokens per session scan A 7aaf681cad04
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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