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Peer Review Initiator

Checked
qodex-ai·vlatest·writing

Automatically requests expert peer reviews on documents, ensuring quality and identifying potential improvements.

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 qodex-ai/ai-agent-skills --skill peer-review-initiator -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

qodex-ai

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 qodex-ai/ai-agent-skills at 6ea9f00885.

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

Commit
6ea9f00885
Manifest
skills/peer-review-initiator/SKILL.md
Scanned
2 files, 246 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 peer-review-initiator skill facilitates the process of requesting and managing peer reviews for documents or code. It can automatically identify potential reviewers based on provided criteria, draft review requests with specific instructions, and track the status of reviews. This streamlines feedback collection and improves overall quality assurance.

When to use it

  • You need feedback on a technical document before publishing.
  • A team wants to ensure code quality through peer review.
  • You're managing a research paper and require expert opinions.
  • You want to automate the initial steps of soliciting reviews from colleagues.

Key capabilities

  • Identifies potential reviewers based on criteria.
  • Drafts review requests with custom instructions.
  • Tracks the status of review requests.

Example prompts

  • "Find three engineers familiar with Python and request they review this code snippet."
  • "Generate a peer review request for this document, focusing on clarity and accuracy."
  • “List the status of all pending peer reviews.”

Tips & gotchas

The skill's effectiveness depends on having access to relevant information about team members’ expertise or areas of focus. Ensure that the criteria used to identify reviewers are accurate and specific to achieve optimal results.