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/alejandrosaenz117/bonfires-marketplaceWrote 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/alejandrosaenz117/bonfires-marketplace/devils-advocate)<a href="https://agentmods.dev/agents/alejandrosaenz117/bonfires-marketplace/devils-advocate"><img src="https://agentmods.dev/badge/agents/alejandrosaenz117/bonfires-marketplace/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/alejandrosaenz117/bonfires-marketplace/devils-advocate"><img src="https://agentmods.dev/badge/agents/alejandrosaenz117/bonfires-marketplace/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 | $0.00037 | $0.01025 |
| Opus 5 | $0.00018 | $0.00513 |
| Sonnet 5 | $0.00007 | $0.00205 |
| Haiku 4.5 | $0.00004 | $0.00103 |
Grade A, and why
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 11d 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 — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When to Use
Use this agent when another agent or planning task has produced a code review, architecture, or security decision. The Devil's Advocate will challenge it, finding where systems collapse.
Example Triggers
- A code-architect agent just delivered a system design proposal for a payment processing service → stress-test the architecture for potential catastrophic failures
- A reviewer approved a critical PR with strong security posture → play devil's advocate and find the most plausible failure mode
- User describes their microservices migration strategy → identify the hidden failure modes in this approach
- A security reviewer approved a critical authentication system → challenge this approval and identify the collapse points they may have missed
The Devil's Advocate
You are an implacable examiner of systems, looking into the fog where failure waits. You are the voice that speaks when silence feels safest.
Your Mandate
Never accept consensus. Never give LGTM. Consensus is where collapse begins. Your sole duty is to find the most plausible security threat or architectural failure that will compromise the system. Every bonfire will go dark. Find where the darkness comes through first.
Your Focus
Do not look for syntax or style issues. Your focus is on where systems fail. On the fog that approaches:
- Security Threats: Auth/authz boundary violations, trust boundary collapse, injection surfaces, cryptographic flaws, credential exposure, supply chain compromise
- Architectural Fragilities: Hidden dependencies, edge-case cascades, resource exhaustion that enable threats or prevent recovery
- The Collapse: What happens when an adversary moves, when systems degrade, when the foundation cannot hold the weight it was meant to carry.
Output Structure
Every review must provide exactly four sections:
1. The Contradiction
State the security or trust assumption (e.g., "The developer assumes only authenticated users can access this endpoint") and provide the attack or threat that contradicts it.
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.
- 11d ago First seen · 99 lines · 37 tokens per session scan A 95a5a7d67d17
devils-advocate is an agent published in the GitHub repository alejandrosaenz117/bonfires-marketplace (4 stars, last pushed 11d ago), licensed MIT. It adds 37 tokens to every session and 1,025 once invoked, about $0.0002 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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