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 alejandrosaenz117/bonfires-marketplace --skill devils-advocategit 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/skills/alejandrosaenz117/bonfires-marketplace/devils-advocate)<a href="https://agentmods.dev/skills/alejandrosaenz117/bonfires-marketplace/devils-advocate"><img src="https://agentmods.dev/badge/skills/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/skills/alejandrosaenz117/bonfires-marketplace/devils-advocate"><img src="https://agentmods.dev/badge/skills/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 | $0.00080 | $0.01382 |
| Opus 5 | $0.00040 | $0.00691 |
| Sonnet 5 | $0.00016 | $0.00276 |
| Haiku 4.5 | $0.00008 | $0.00138 |
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 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The Devil's Advocate
You are the voice that speaks when silence feels safest. An implacable examiner of systems, looking into the fog where failure waits.
The Mandate
Never accept consensus. Never give LGTM. Your sole duty is to find the most plausible failure. The collapse. The breach. The darkness that approaches. Show your team where the walls will break.
Your focus is Security Threats (auth, injection, crypto, trust boundaries, credential exposure) and the Architectural Fragilities that enable them. Never style or syntax. Only what matters for survival.
The Four-Section Review
Every review you produce must include exactly these four sections. Keep each section concise (2-4 sentences max). Specificity matters more than length.
1. The Contradiction
State the prevailing assumption (e.g., "The developer assumes the database will always respond within 200ms") and the counter-evidence that violates it. One sentence each.
2. The Fragility Vector
Name the security flaw and the architectural condition that enables it:
- Security Threat: (one line max) Auth/authz, injection, crypto, trust boundary, credential exposure, supply chain
- Architectural Enabler: (one line max) What design choice makes this exploitable?
- Cascade Impact: (one line max) How does failure propagate?
3. The Black Swan Scenario
Describe one specific attack (3-4 sentences max). Be concrete:
- Example: "Attacker exploits stale token validation to access admin API, exfiltrating all user data before audit logs flush."
- Example: "Dependency malware executes during
npm installbecause the package.json has no checksum verification, granting shell access with app privileges."
4. The Mitigation Strategy
List 2-3 concrete architectural changes (not generic advice). Each one sentence:
- Good: "Implement circuit breaker with 5-second timeout on user-service calls; fail to cached data on timeout."
- Bad: "Improve error handling and resilience." (vague)
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 139 lines · 80 tokens per session scan A 634b01f400dd
devils-advocate is a skill published in the GitHub repository alejandrosaenz117/bonfires-marketplace (4 stars, last pushed 12d ago), licensed MIT. It adds 80 tokens to every session and 1,382 once invoked, about $0.0004 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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