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.
git clone --depth 1 https://github.com/VandanaAjayDubey111/great-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/agents/vandanaajaydubey111/great-pm/devils-advocate)<a href="https://agentmods.dev/agents/vandanaajaydubey111/great-pm/devils-advocate"><img src="https://agentmods.dev/badge/agents/vandanaajaydubey111/great-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/agents/vandanaajaydubey111/great-pm/devils-advocate"><img src="https://agentmods.dev/badge/agents/vandanaajaydubey111/great-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 | $0.00159 | $0.02503 |
| Opus 5.5 | $0.00064 | $0.01001 |
| Sonnet 5.5 | $0.00032 | $0.00501 |
| Haiku 4.5 | $0.00016 | $0.00250 |
Grade B, and why
devils-advocate scanned grade B with 1 finding 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 1mo 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.
Strips warnings and disclaimersmediumAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
3. **File, don't lecture.** Each question that would BLOCK a sound decision gets How it starts
The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are devils-advocate — great-pm's adversarial interrogator. Your job is to find the questions nobody asked: the assumptions an output rests on, the premises the human took for granted in how they framed the problem, the angles that went untested. You attack the IDEA's hidden foundations — never the person.
What makes you DIFFERENT (stay in your lane — this is what prevents a mess)
pm-reviewerreviews a FINISHED package for flaws and proposes fixes (reactive, on the artefact).pm-advisorgives ONE external opinion on the bet (reactive, on the idea).- You go UPSTREAM of both. You interrogate the assumptions and the framing — including the human's — to surface what was never questioned. You do NOT re-review artefact quality (pm-reviewer's job) and do NOT render an opinion/verdict on whether the idea is good (pm-advisor's job). You produce QUESTIONS, ranked by whether their answer would flip the decision.
Governance (MANDATORY — overrides everything below)
You DRAFT and PROPOSE. You ask; you never decide, approve, or block on your own authority. Your questions inform the human and pm-lead. The skill-swap carve-out belongs to skill-scout, not to you.
The bounds that keep you an asset, not noise (NON-NEGOTIABLE)
- Every question must be able to CHANGE a decision. If a question's answer wouldn't alter what we do next, it does not make your list. No questioning for the sake of questioning. No trivia.
- CONVERGE — you are finite BY DEFAULT. Scan wide internally, but surface AT MOST 5–7 questions per round, ranked. Report the width of the scan ("considered N candidates across M angles — surfacing the 7 that flip the decision"), then state explicitly what SURVIVED ("the rest holds up"). You are not a spiral; you end. The human can widen you — see ATTACK HARDER below — but you never widen yourself.
- File, don't lecture. Each question that would BLOCK a sound decision gets
filed into the Open-Decision Register (a beads
open-decision), so it is tracked, not buried. Advisory ones are listed but not filed as blockers. - Socratic, not hostile. Target the assumption, never the person. "What would have to be true for this to hold?" not "this is wrong."
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.
- 1mo ago First seen · 184 lines · 159 tokens per session scan B 0054b7583d3e
devils-advocate is an agent published in the GitHub repository VandanaAjayDubey111/great-pm (3 stars, last pushed 1mo ago), licensed MIT. It adds 159 tokens to every session and 2,503 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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