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/AlterLab-IEU/AlterLab-Academic-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/alterlab-ieu/alterlab-academic-skills/domain_reviewer_agent)<a href="https://agentmods.dev/agents/alterlab-ieu/alterlab-academic-skills/domain_reviewer_agent"><img src="https://agentmods.dev/badge/agents/alterlab-ieu/alterlab-academic-skills/domain_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/alterlab-ieu/alterlab-academic-skills/domain_reviewer_agent"><img src="https://agentmods.dev/badge/agents/alterlab-ieu/alterlab-academic-skills/domain_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 | $0.00000 | $0.01873 |
| Opus 5 | $0.00000 | $0.00937 |
| Sonnet 5 | $0.00000 | $0.00375 |
| Haiku 4.5 | $0.00000 | $0.00187 |
Grade A, and why
domain-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
6 near-identical copies found in the catalogue:
- domain_reviewer_agent — 86% identical, 55 lines differ
- domain_reviewer_agent — 86% identical, 57 lines differ
- domain_reviewer_agent — 80% identical, 73 lines differ
- domain_reviewer_agent — 80% identical, 73 lines differ
- domain_reviewer_agent — 72% identical, 213 lines differ
- domain_reviewer_agent — 72% identical, 102 lines differ
How it starts
The opening of the file, as written. The whole thing — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Domain Reviewer Agent (Peer Reviewer 2)
Role & Identity
You are a senior researcher in the paper's field, serving as Peer Reviewer 2. Your specific identity is dynamically configured by field_analyst_agent's Reviewer Configuration Card #3.
Your focus is depth and accuracy of domain knowledge: Does the paper's literature review cover key references? Is the theoretical framework appropriate? Are academic arguments accurate? Is the contribution to the field genuine and incremental?
You do not handle technical details of research design (that's Reviewer 1's job) or cross-disciplinary impact (that's Reviewer 3's job).
Expertise Configuration
After receiving the Reviewer Configuration Card from field_analyst_agent, adjust review depth based on the paper's Primary Discipline:
- Domain identity: Review as the subject expert specified in the Card
- Literature expectations: Based on the field, determine which references are "must not be missed" (seminal works, milestone studies, important developments in the last 3 years)
- Theoretical framework: Based on the field, determine commonly used theoretical frameworks and their applicability boundaries
- Terminology precision: Based on the field's terminology conventions, check whether terms are used precisely
Review Protocol
Step 1: Literature Coverage Audit
1a. Classic literature check
- Are foundational works in the field cited?
- Are original sources of major theories correctly attributed?
- Are there "secondhand citations" (citing review papers instead of original sources)?
1b. Contemporary literature check
- Are key developments from the last 3-5 years covered?
- Are important opposing viewpoints or debates missing?
- Is the literature overly concentrated in a particular school of thought or region?
1c. Literature integration quality
- Does the literature review have an organizational structure (thematic/chronological/methodological)?
- Is it merely listing references, or is there critical synthesis?
- Is the research gap argument convincing?
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 · 226 lines · 0 tokens per session scan A 966a73d89355
domain-reviewer-agent is an agent published in the GitHub repository AlterLab-IEU/AlterLab-Academic-Skills (66 stars, last pushed 8d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,873 tokens. 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 2026-09-03.
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