deep-review vs paper-preflight
deep-review is a plugin bundle for AI coding tools published by dipakkrishnan. Marketplaces we read that list it: 1 (Claude Code: claude-plugins-community). paper-preflight is an MCP server published by amos689. Marketplaces we read that list it: 2 (Official MCP Registry, Community GitHub marketplaces). As of our marketplace pass on 2026-10-27. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.
Where each is published
| Marketplace |  deep-review |  paper-preflight |
|---|---|---|
| Claude Code: claude-plugins-community | Listed Version: 1.0.0 Forks (GitHub): 0 Stars (GitHub): 0 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 1.0.0 Downloads/month (PyPI): 787 Downloads/week (PyPI): 287 Forks (GitHub): 10 Stars (GitHub): 108 Not marked · First seen |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
The facts side by side
| Fact | deep-review | paper-preflight |
|---|---|---|
| Marketplaces that list it (differs) | 1 (worse) | 2 (better) |
| Stars (GitHub) (differs) | 0 (worse) | 108 (better) |
| Forks (GitHub) (differs) | 0 (worse) | 10 (better) |
| Last release (differs) | Not published | 2026-10-15 |
| Where it runs (differs) | Installs as a plugin bundle | On your machine (paper-preflight) |
| Transport (differs) | Not stated | stdio |
| Tools it declares | Not published | Not published |
| Environment variables it asks for | Not published | Not published |
| Parts of the bundle (differs) | 1 | 2 |
| Licence (differs) | Apache-2.0 | MIT |
| Repository (differs) | github.com/dipakkrishnan/deep-review-skill | github.com/amos689/paper-preflight |
| Changes in the last 7 days | 0 | 0 |
| First seen | 2026-10-11 | 2026-10-11 |
Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.
What each says it does
deep-review
Deep Review is a Claude Code plugin for rigorous review of papers and technical artifacts. Aiming to reduce "edit volume" for researchers and paper-reviewers, it adds a skill that interviews the user first, reads the artifact carefully, decomposes the review into specialist passes, and verifies claims against sources or computations where possible. It also self-critiques findings, and returns a severity-ranked markdown review with evidence. It is especially useful for pre-submission paper review, theorem/proof stress tests, empirical or methods audits, literature positioning, technical memos, and AI-generated draft review.
paper-preflight
Checks every LaTeX reference against Crossref, dblp, arXiv, DataCite, PubMed and OpenAlex. No LLM.
How to run each
deep-review As a Claude Code plugin
/plugin marketplace add anthropics/claude-plugins-community
/plugin install deep-review@claude-communitypaper-preflight As a local MCP server: PyPI package
claude mcp add --transport stdio paper-preflight -- uvx --with "paper-preflight[mcp]==1.0.0" paper-preflight mcpCommands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
Neither one's marketplaces publish a list of tools, so there is nothing to compare.
Settings each asks for
Neither one's marketplaces publish the settings it asks for.
What it can do: deep-review · What it can do: paper-preflight · Compare two other plugins
Data comes from the public marketplace file https://github.com/anthropics/claude-plugins-community/blob/HEAD/.claude-plugin/marketplace.json. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Data comes from public marketplace files in GitHub repositories of their authors. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.