Skip to content
Back to skills

Paperreview

ASecurity

Use when the user explicitly wants to upload a final or near-final PDF to paperreview.ai for an external second opinion. Skip this for local paper critique, which should go through `paper-review-pipeline` first.

  • 444 stars
  • 0 votes
  • 0 copies
  • 0 views
  • Added May 28, 2026
ai-agentspythongobashdebuggingapi

Works with

  • api

Security analysis

A100/100

Pro scans all 3 files and shows the line behind each finding

Scanned September 22, 2026

npx -y skills add cnfjlhj/ai-collab-playbook --skill paperreview --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Paperreview?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Paperreview
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/cnfjlhj-paperreview/badge)](https://www.skillsdirectory.com/skills/cnfjlhj-paperreview)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: paperreview
description: Use when the user explicitly wants to upload a final or near-final PDF to paperreview.ai for an external second opinion. Skip this for local paper critique, which should go through `paper-review-pipeline` first.
metadata:
  version: 0.1.0
---

# paperreview.ai submission

## Purpose

Submit a paper PDF to `paperreview.ai` using the same HTTP flow as the website:

1) Request a presigned upload URL
2) Upload the PDF directly to S3
3) Confirm the upload to start processing and receive a token

This skill uses a small Python script so it can run deterministically without a browser. The public version requires you to provide your own email when submitting.

## Safety model

- Treat `--submit` as an **irreversible external side effect** (creates a real submission and returns a token).
- Default to `--dry-run` first to validate the file and show what would happen.

## Email policy

The public version does **not** ship with a fixed email address.

- Use `--email you@example.com` when doing a real submission
- Keep your own email out of version-controlled defaults

## How to use

### 1) Dry-run (no network, no submission)

```bash
python scripts/submit_http.py --pdf "/path/to/paper.pdf" --dry-run
```

### 2) Real submit (network + S3 upload + token returned)

```bash
python scripts/submit_http.py --pdf "/path/to/paper.pdf" --venue ICLR --email "you@example.com" --submit
```

By default, after a successful submit the token is also written next to the PDF as:

- `<pdf>.paperreview.token.txt`

To disable token file writing:

```bash
python scripts/submit_http.py --pdf "/path/to/paper.pdf" --venue ICLR --email "you@example.com" --submit --no-token-file
```

### 3) Poll for results (every 10 minutes) and save next to the PDF

When the review is ready, `paperreview.ai` can be queried with:

- `GET /api/review/<token>`
  - `202` means still processing
  - `200` means ready (JSON review payload)

This skill provides a polling script that saves **timestamped** artifacts next to the PDF:

- `<pdf>.paperreview.<timestamp>.json` (raw JSON, includes `_retrieved_at` and `_token`)
- `<pdf>.paperreview.<timestamp>.md` (human-readable Markdown)

Run (default: 10 minutes, up to 48 hours):

```bash
python scripts/watch_review.py --pdf "/path/to/paper.pdf"
```

One-shot check (useful for debugging / cron):

```bash
python scripts/watch_review.py --pdf "/path/to/paper.pdf" --once
```

### Minimal acceptance checks

- Dry-run: exits `0` and prints basic validation info.
- Submit: exits `0` and prints a `token:` line. Save the token immediately.
- Watch: when ready, saves `.json` + `.md` next to the PDF and exits `0`.

Files in this skill

  • SKILL.md2.6 KB
  • scripts/submit_http.py7.2 KB
  • scripts/watch_review.py9 KB

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.