# Academic Paper Reviewer

> 7-agent paper review system on Hermes Agent. 6 modes (full/re-review/quick/methodology-focus/guided/calibration). 5-panel review with editorial decision, revision roadmap, and calibration metrics. Uses delegate_task for each reviewer. Triggers: review paper, peer review, manuscript review, check revisions, calibrate reviewer, 審稿, 同儕審查, 論文審查.

- **Type:** Skill
- **Install:** `agentstack add skill-lord1egypt-awesome-skill-forge-academic-paper-reviewer`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [Lord1Egypt](https://agentstack.voostack.com/s/lord1egypt)
- **Installs:** 0
- **Category:** [Data & Analytics](https://agentstack.voostack.com/c/data-and-analytics)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [Lord1Egypt](https://github.com/Lord1Egypt)
- **Source:** https://github.com/Lord1Egypt/awesome-skill-forge/tree/master/community/clawhub/a/academic-paper-reviewer
- **Website:** https://skill-explorer-rho.vercel.app

## Install

```sh
agentstack add skill-lord1egypt-awesome-skill-forge-academic-paper-reviewer
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Academic Paper Reviewer — 7-Agent Review System (Hermes Edition)

📄 **License:** [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) · Copyright (c) 2026 Cheng-I Wu  
🔗 **Original:** [Imbad0202/academic-research-skills](https://github.com/Imbad0202/academic-research-skills)  
🔄 **Adaptation:** Multi-agent review system implemented via `delegate_task` instead of Claude Code's internal agent system. All agent definitions, references, and quality standards preserved unchanged from original. **This adaptation is distributed under the same CC BY-NC 4.0 license.**

## Quick Start

```
Review this paper for journal submission
```

## Agent Team

| # | Agent | Role |
|---|-------|------|
| 1 | intake_agent | Receive paper, determine review type |
| 2 | methodology_reviewer | Method rigor assessment |
| 3 | evidence_reviewer | Evidence sufficiency & citation quality |
| 4 | argument_reviewer | Logical coherence & argument structure |
| 5 | domain_reviewer | Domain expertise & literature positioning |
| 6 | editor_in_chief | Aggregate reviews → editorial decision |
| 7 | revision_coach | Convert reviews → actionable roadmap |

## Hermes Execution

### Full Mode: 5-Panel Parallel Review
```
delegate_task(tasks=[
    {"goal": "Review manuscript methodology: design appropriateness, validity threats, replicability. Score 1-5.", "context": "Use agents/methodology_reviewer.md", "toolsets": ["file"]},
    {"goal": "Review evidence: citation quality, source credibility, evidence hierarchy alignment. Score 1-5.", "context": "Use agents/evidence_reviewer.md", "toolsets": ["file"]},
    {"goal": "Review argument: logical flow, claim-evidence alignment, counter-argument handling. Score 1-5.", "context": "Use agents/argument_reviewer.md", "toolsets": ["file"]},
    {"goal": "Review domain positioning: literature coverage, theoretical grounding, contribution significance. Score 1-5.", "context": "Use agents/domain_reviewer.md", "toolsets": ["file"]}
])
```

### Editorial Decision
```
delegate_task(goal="Aggregate all 4 reviewer reports. Apply weighted scoring (Method 30%, Evidence 25%, Argument 25%, Domain 20%). Issue editorial decision: Accept/Minor Revision/Major Revision/Reject with justification.", context="Use agents/editor_in_chief.md", toolsets=["file"])
```

### Revision Roadmap
```
delegate_task(goal="Convert editorial decision + reviewer reports into structured Revision Roadmap: prioritized action items, estimated effort, dependency mapping.", context="Use agents/revision_coach.md", toolsets=["file"])
```

## 6 Modes

| Mode | Trigger | Agents |
|------|---------|--------|
| `full` | "Review paper" | All 7 |
| `re-review` | "Check revisions" | 2→3→4→6 |
| `quick` | "Quick review" | 6 only (EIC assessment) |
| `methodology-focus` | "Check methodology" | 2 only |
| `guided` | "Guide me to improve" | Socratic: 6 with user interaction |
| `calibration` | "Calibrate reviewer" | All + calibration metrics output |

## Calibration Mode
Measures reviewer accuracy: FNR (False Negative Rate), FPR (False Positive Rate), AUC. Requires ground-truth labels on prior reviewed papers.

## Critical Rules
1. ⚠️ Reviewers are paper-blind (don't see author info)
2. ⚠️ Every criticism must include specific actionable suggestion
3. ⚠️ Calibration mode requires 5+ ground-truth papers

## Security & Privacy

**Multi-agent design disclosure:** This skill delegates review tasks across multiple subagents via `delegate_task`. Manuscript content and intermediate review outputs are processed by these agents. Use only with manuscripts you are comfortable having processed through the AI provider's delegated-agent workflow. Remove confidential material not needed for review.

**Tool access:** Subagents are granted only `file` tools for reading/writing review outputs. No terminal, web, or system tools are exposed.

**Agent files:** The `agents/` directory contains academic peer-review prompt templates (role definitions, scoring rubrics, methodology guidelines). These are task instructions loaded as `context` in `delegate_task` calls — NOT system prompt overrides.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [Lord1Egypt](https://github.com/Lord1Egypt)
- **Source:** [Lord1Egypt/awesome-skill-forge](https://github.com/Lord1Egypt/awesome-skill-forge)
- **License:** MIT
- **Homepage:** https://skill-explorer-rho.vercel.app

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-lord1egypt-awesome-skill-forge-academic-paper-reviewer
- Seller: https://agentstack.voostack.com/s/lord1egypt
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.
