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Peer Review

Checked
ovachiever·vlatest·writing

Analyzes submitted work against peer review criteria, providing actionable feedback for improvement and grading suggestions.

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 ovachiever/droid-tings --skill peer-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

ovachiever

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 ovachiever/droid-tings at 7acd12a754.

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

Scanned
3 files, 1,220 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 ovachiever-peer-review skill provides automated feedback on written work, mimicking a human peer review process. It analyzes text for clarity, grammar, and style, offering suggestions for improvement. This tool is designed to enhance the quality of documents before submission or publication.

When to use it

  • Drafting reports: Get initial feedback on internal reports before sharing with colleagues.
  • Academic papers: Improve the clarity and polish of research papers prior to submission.
  • Blog posts: Refine blog content for better readability and engagement.
  • Marketing copy: Ensure marketing materials are clear, concise, and persuasive.

Key capabilities

  • Grammar checking
  • Style analysis
  • Clarity suggestions
  • Automated feedback generation

Example prompts

  • "Please peer review this draft report on Q3 sales performance."
  • "Can you analyze this blog post for clarity and suggest improvements?"
  • "Review the following paragraph and provide feedback on its style and grammar: [paragraph text]"

Tips & gotchas

The quality of the peer review depends heavily on the initial writing. While it can identify errors, it's not a substitute for careful proofreading and editing by a human expert.