# self-review

This skill reviews an academic paper with the NeurIPS form, three reviewer roles, and score aggregation. Use it to assess a draft before submission.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 1600 installs · ★ 433
- Author: lingzhi227
- License: not stated · policy=link-only · description only; the file stays with the author
- Source: https://github.com/lingzhi227/agent-research-skills/tree/HEAD/skills/self-review/SKILL.md
- Updated: 2026-02-27
- HTML: https://affpapa.org/en/nevibecode/skills/self-review

## What it does

The skill takes a PDF or `.tex` path. For a PDF, it extracts the text and runs three separate reviews: a fair but strict reviewer, a highly critical reviewer, and an open-minded reviewer. Each review follows the NeurIPS form. The skill then combines the results, averages the scores, applies weighted scoring, and writes a report with shared strengths, weaknesses, author questions, and specific revision points.

The package includes `extract_pdf_text.py` and `parse_pdf_sections.py`. The first script can use `pymupdf4llm`, `pymupdf`, or `pypdf`; the second identifies the title and section text in a PDF. Section parsing requires `pymupdf`, while text extraction uses the listed Python packages. The workflow also checks for Abstract, Introduction, Methods/Approach, Experiments/Results, and Discussion/Conclusion. Missing sections lower the review scores.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add lingzhi227/agent-research-skills --skill self-review -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/self-review/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/self-review/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add lingzhi227/agent-research-skills --skill self-review -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/self-review/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add lingzhi227/agent-research-skills --skill self-review -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/self-review/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install lingzhi227/agent-research-skills self-review
```

2. **Manually: put the files in place**
- File: `.github/skills/self-review/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add lingzhi227/agent-research-skills --skill self-review -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/lingzhi227/agent-research-skills --path skills/self-review
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/self-review/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add lingzhi227/agent-research-skills --skill self-review -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/lingzhi227/agent-research-skills/tree/HEAD/skills/self-review/SKILL.md

## When to use it
- review a paper before NeurIPS submission
- extract text from a PDF for analysis
- compare three independent reviewer scores
- check whether required paper sections are present
- turn review findings into concrete revisions

## Example prompts
- Review `paper.pdf` with the NeurIPS form and produce a consolidated report.
- Assess `paper.tex` through three reviewer perspectives, then compare their scores.
- Check `paper.pdf` for required sections and list the most specific changes to make.

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From the same set: [lingzhi227/agent-research-skills](https://affpapa.org/en/nevibecode/by/lingzhi227/agent-research-skills.md) — 30 cards

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NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md
