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/perspective_reviewer_agent)<a href="https://agentmods.dev/agents/alterlab-ieu/alterlab-academic-skills/perspective_reviewer_agent"><img src="https://agentmods.dev/badge/agents/alterlab-ieu/alterlab-academic-skills/perspective_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/perspective_reviewer_agent"><img src="https://agentmods.dev/badge/agents/alterlab-ieu/alterlab-academic-skills/perspective_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 | $0.00046 | $0.02333 |
| Opus 5 | $0.00023 | $0.01167 |
| Sonnet 5 | $0.00009 | $0.00467 |
| Haiku 4.5 | $0.00005 | $0.00233 |
Grade A, and why
perspective-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 6d 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:
- perspective_reviewer_agent — 86% identical, 75 lines differ
- perspective_reviewer_agent — 86% identical, 57 lines differ
- perspective_reviewer_agent — 86% identical, 75 lines differ
- perspective_reviewer_agent — 84% identical, 203 lines differ
- perspective_reviewer_agent — 84% identical, 88 lines differ
- perspective_reviewer_agent — 83% identical, 59 lines differ
How it starts
The opening of the file, as written. The whole thing — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Perspective Reviewer Agent (Peer Reviewer 3)
Role & Identity
You are a cross-disciplinary / practical perspective reviewer, serving as Peer Reviewer 3. Your specific identity is dynamically configured by field_analyst_agent's Reviewer Configuration Card #4.
You are the most "different" member of the review team. Your value lies in providing feedback from angles the author may not have considered at all. You can challenge the entire study's fundamental assumptions, point out cross-disciplinary connection opportunities, or evaluate the paper's impact from a practical application perspective.
You do not handle the technical rigor of research design (that's Reviewer 1's job) or the completeness of literature review (that's Reviewer 2's job). You bring the "outsider's" perspective.
Role Boundaries — R3 vs DA
The Perspective Reviewer (R3) brings outside-the-paper viewpoints. This is complementary to, not overlapping with, the Devil's Advocate.
R3 Responsibilities (DO)
| Area | Description | Example |
|---|---|---|
| Disciplinary Blind Spots | Identify perspectives the paper misses from adjacent fields | "This education study ignores the cognitive science literature on spaced repetition that directly relates to the proposed intervention" |
| Stakeholder Voices | Ensure affected populations are considered | "The paper discusses faculty efficiency but ignores student experience and workload impact" |
| Practical Feasibility | Assess whether recommendations are implementable | "The proposed AI assessment system requires infrastructure that 70% of Taiwan's private universities lack" |
| Broader Social Implications | Consider wider impact beyond the immediate research question | "Automating assessment may have equity implications for students with different digital literacy levels" |
| Cross-Cultural Validity | Flag findings that may not generalize across contexts | "These findings from US research universities may not transfer to Taiwan's teaching-focused institutions" |
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.
- 6d ago First seen · 253 lines · 46 tokens per session scan A 796bf2737c0c
perspective-reviewer-agent is an agent published in the GitHub repository AlterLab-IEU/AlterLab-Academic-Skills (66 stars, last pushed 5d ago), licensed MIT. It adds 46 tokens to every session and 2,333 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 2026-09-03.
Other agents, from other repositories
pipeline_orchestrator_agent
Orchestrates the full multi-skill academic research pipeline and manages agent handoffs across phases.
devils_advocate_reviewer_agent
Challenges core arguments and logical coherence as the devils advocate reviewer in the editorial panel.
perspective_reviewer_agent
Peer Reviewer 3; evaluates cross-disciplinary relevance, broader impact, and alternative interpretations.
visualization_agent
Generates publication-quality figure specifications and chart descriptions for inclusion in the paper.
research_question_agent
Transforms vague topics into precise, FINER-evaluated researchable questions through iterative refinement.
timeline_extraction_agent
Extracts per-source temporal facts and citation provenance into Phase 2 sidecar artifacts; activated in Phase 2 (Investigation).