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Create Pull Request

Checked
yonderlab·vlatest·backend

Automatically generates and submits pull requests to your repository based on yonderlab's analysis and suggested changes.

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 yonderlab/kota.agent.skills --skill create-pull-request -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

yonderlab

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 yonderlab/kota.agent.skills at ac3a6022c8.

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

Scanned
2 files, 274 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 automates the creation of pull requests on GitHub. It can generate a new branch, commit changes based on provided instructions, and then create a pull request targeting a specified base branch. The agent can also handle adding reviewers to the created pull request.

When to use it

  • You need to automate code review workflows for small feature additions or bug fixes.
  • A developer needs assistance in creating a pull request from changes made locally.
  • You want to streamline the process of contributing to open-source projects.
  • Automating repetitive tasks like merging documentation updates into a main branch.

Key capabilities

  • Creates new branches on GitHub.
  • Commits changes based on provided instructions.
  • Generates pull requests targeting specified base branches.
  • Adds reviewers to the created pull request.

Example prompts

  • "Create a pull request from my local changes, targeting the main branch and add @user1 and @user2 as reviewers."
  • "Generate a new branch called 'fix-typo' and create a pull request against 'develop'."
  • “Commit these changes to a new branch named ‘update-readme’ and submit a pull request.”

Tips & gotchas

  • Ensure the AI agent has appropriate permissions (write access) to the GitHub repository.
  • The accuracy of commit messages depends on the clarity of instructions provided in the prompt.