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Paper Self Review

Checked
galaxy-dawn·vlatest·writing·MIT

Analyzes research papers, identifying strengths, weaknesses, and potential improvements for authors seeking self-assessment.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add galaxy-dawn/claude-scholar --skill paper-self-review -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

galaxy-dawn

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned galaxy-dawn/claude-scholar at 903787345d.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
903787345d
Manifest
skills/paper-self-review/SKILL.md
Scanned
4 files, 213 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The paper-self-review skill allows an AI agent to analyze a research paper and generate a self-assessment, identifying strengths, weaknesses, potential improvements, and relevant future work. It can also summarize key findings and suggest related papers for further reading. This capability is designed to provide constructive feedback on academic writing and research methodologies.

When to use it

  • Drafting Academic Papers: Use the skill to get an initial assessment of your own paper before submitting it for peer review.
  • Evaluating Research Proposals: Have the agent critique a draft proposal to identify potential flaws or areas needing clarification.
  • Understanding Published Work: Analyze published papers to understand their limitations and directions for future research.
  • Learning from Existing Literature: Gain insights into how other researchers approach similar problems and assess their work critically.

Key capabilities

  • Identifies strengths and weaknesses in a paper's argument.
  • Suggests potential improvements to methodology or writing style.
  • Summarizes key findings of the research.
  • Recommends related papers for further exploration.

Example prompts

  • "Please review this paper on [topic] and provide a self-assessment, focusing on clarity and methodology."
  • "Analyze this draft proposal for [research area]. What are its biggest weaknesses?"
  • "Summarize the key findings of this research paper and suggest related papers I should read next."

Tips & gotchas

  • The quality of the review depends heavily on the clarity and completeness of the provided paper. Ensure the input is well-formatted and contains all necessary sections.