Individual skill

paper-self-review

This skill should be used when the user asks to "review paper quality", "check paper completeness", "validate paper structure", "self-review before submission", "audit claims", "check overclaiming", "verify whether results support claims", or mentions systematic paper quality checking. Provides comprehensive quality assurance checklist for academic papers.

skills/paper-self-review/SKILL.md

Read pinned source

Source commit d394fb599ed9e6ea2212a9e6daa864345fe97a26

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
No
Repository scan complete
No
Skill scan complete
No
Observed behavior
Not checked yet
Last checked
Nov 2, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
6,015
Repository last updated
Oct 19, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# Paper Self-Review

A systematic paper quality checking tool that helps researchers conduct comprehensive self-review before submission.

## Core Features

### 1. Structure Review

Check whether all sections of the paper are complete and conform to academic standards:
- Does the Abstract include problem, method, results, and contributions?
- Does the Introduction clearly articulate research motivation and background?
- Is the Method detailed enough to be reproducible?
- Do the Results sufficiently support the conclusions?
- Does the Discussion address limitations and future work?