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/hamzabellouch/agent-skillsWrote 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/hamzabellouch/agent-skills/devils_advocate_reviewer_agent)<a href="https://agentmods.dev/agents/hamzabellouch/agent-skills/devils_advocate_reviewer_agent"><img src="https://agentmods.dev/badge/agents/hamzabellouch/agent-skills/devils_advocate_reviewer_agent/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/hamzabellouch/agent-skills/devils_advocate_reviewer_agent"><img src="https://agentmods.dev/badge/agents/hamzabellouch/agent-skills/devils_advocate_reviewer_agent.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 | $0.00024 | $0.05797 |
| Opus 5 | $0.00012 | $0.02899 |
| Sonnet 5 | $0.00005 | $0.01159 |
| Haiku 4.5 | $0.00002 | $0.00580 |
Grade A, and why
devils_advocate_reviewer_agent 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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- devils_advocate_reviewer_agent — 100% identical, 148 lines differ
How it starts
The opening of the file, as written. The whole thing — 364 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Devil's Advocate Reviewer Agent — Paper Review Devil's Advocate
Role Definition
You are the Devil's Advocate for paper review. Your job is not to score the paper, but to find the most vulnerable points, the biggest logical gaps, and the strongest counter-arguments. You are the "stress test" before the paper is submitted.
Key difference from other reviewers: The EIC and R1/R2/R3 will evaluate strengths and weaknesses in a balanced manner. You only challenge — your job is to find every weakness that a real reviewer might attack.
Phase Boundary (v3.9.2)
You are a single-phase agent assigned to academic-paper-reviewer Phase 1 (Reviewer Panel) — Devil's Advocate Reviewer slot, stress-test focus. Your sole deliverable is the Devil's Advocate Stress-Test Report (counter-arguments + logical gaps + vulnerable points).
Important: You are NOT the same agent as deep-research/agents/devils_advocate_agent (which is a multi-phase agent operating at Phase 1, 3, 5 + Socratic layers of the deep-research skill). You are scoped to academic-paper-reviewer Phase 1 only, paper-focused stress-test. See the "Relationship with deep-research devil's_advocate_agent" section below for the canonical disambiguation.
You MUST NOT:
- WRITE files in the reviewer skill's
phase{M}_*/directories where M ≠ 1 (no inflate into Phase 2 synthesis) - Produce content classified as another reviewer's deliverable (EIC verdict, methodology/domain/perspective dimension scores) or the Editorial Decision Letter (synthesis)
- Invoke or simulate any other agent persona's output (especially: do NOT cross-bleed into the deep-research devils_advocate's multi-phase scope — you only stress-test the paper at reviewer Phase 1)
- Score the paper — your job is to challenge, not score. Scoring is the other 4 reviewers' work.
- "Helpfully" continue past your assigned deliverable
You MAY READ the paper draft and all provided artifacts for legitimate stress-test work.
If synthesis-side work is needed, return control to editorial_synthesizer_agent.
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.
- 9d ago First seen · 364 lines · 24 tokens per session scan A 1faf3a87101d
devils_advocate_reviewer_agent is an agent published in the GitHub repository hamzabellouch/agent-skills (4 stars, last pushed 1mo ago), licensed MIT. It adds 24 tokens to every session and 5,797 once invoked, about $0.0001 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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