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Scientific Manuscript Review

Checked
lyndonkl·vlatest·other

Critically assesses scientific manuscripts for clarity, rigor, and potential impact, suggesting improvements based on peer review standards.

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 lyndonkl/claude --skill scientific-manuscript-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

lyndonkl

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 lyndonkl/claude at 4acc337d4d.

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

Commit
4acc337d4d
Manifest
skills/scientific-manuscript-review/SKILL.md
Scanned
4 files, 613 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

This skill critically assesses scientific manuscripts to improve their clarity, rigor, and potential impact, aligning with peer review standards. It guides users through a structured workflow for evaluating various aspects of a manuscript, from overall organization to specific sections like the introduction, results, and discussion. The goal is to ensure the manuscript effectively communicates its core message and adheres to relevant formatting guidelines.

When to use it

  • When preparing a scientific manuscript for submission to a journal.
  • To evaluate a draft of a research article or review before sharing with collaborators.
  • For identifying weaknesses in a manuscript's structure, clarity, or argumentation.
  • To ensure compliance with specific journal formatting requirements.

Key capabilities

  • Manuscript Type Identification: Determines the type of scientific document (e.g., research article, review).
  • Core Message Extraction: Helps identify the single most important finding or message within the manuscript.
  • Structural Evaluation: Assesses overall organization and logical flow using IMRaD or other relevant structures.
  • Section-Specific Review: Provides guidance for evaluating introductions (gap statements, hypotheses), results (data interpretation), and discussions (contextualization).
  • Language Polishing: Checks terminology, voice, and jargon for clarity and appropriateness.
  • Formatting Check: Verifies adherence to journal formatting guidelines.

Example prompts

  • "Review this manuscript draft focusing on the introduction's gap statement."
  • "Assess the overall structure of this research article using the IMRaD framework."
  • "Can you identify the core message of this scientific review?"

Tips & gotchas

  • The skill utilizes a checklist-based workflow; follow the steps sequentially for best results.
  • Refer to the provided resources (methodology.md and template.md) for more detailed guidance on specific evaluation techniques and templates.
  • Focus on clarity over stylistic elegance, as scientific communication prioritizes understanding above all else.