Paperreview

Community

cnfjlhj

paperreview

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.

Overview

Publisher	cnfjlhj
Repository	`ai-collab-playbook`
Skill name	`paperreview`
Stars	455
Forks	44
Bundled files	2
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by cnfjlhj on GitHub. Read the source before you install it.

Installation

Install the Paperreview AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/cnfjlhj/ai-collab-playbook/tree/main/skills/full/paperreview
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/cnfjlhj/ai-collab-playbook.git /tmp/ai-collab-playbook
mkdir -p .claude/skills
cp -r /tmp/ai-collab-playbook/skills/full/paperreview .claude/skills/paperreview

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Paperreview in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Paperreview on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Paperreview is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

paperreview.ai submission

Purpose

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

Request a presigned upload URL
Upload the PDF directly to S3
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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

scripts/submit_http.py7 KB
scripts/watch_review.py9 KB

Frequently asked questions

What does the Paperreview AI skill do?

Why use Paperreview on TypingMind?

Because you install it once and use it with any model. Paperreview is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Paperreview in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cnfjlhj/ai-collab-playbook/tree/main/skills/full/paperreview. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Paperreview?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Paperreview?

As many as you like. As long as a model supports skills, you can use Paperreview with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Paperreview AI skill free?

It is published on GitHub by cnfjlhj. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

paperreview.ai submission

Purpose

Safety model

Email policy

How to use

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

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

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

Minimal acceptance checks

Bundled files

Frequently asked questions

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