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Iterate Pr

Official
getsentry·vlatest·backend·Apache-2.0

Iterate PR automatically creates new pull requests from existing ones, streamlining workflow and accelerating feature development.

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 getsentry/skills --skill iterate-pr -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

getsentry

Matched to the vendor's own GitHub organisation.

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: develop.sentry.dev.

    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.

    Hosts contacted

    develop.sentry.devundeclared

    What it found

    • skills/iterate-pr/scripts/fetch_pr_feedback.py:15contacts develop.sentry.dev
      Categories (using LOGAF scale - see https://develop.sentry.dev/engineering-practices/code-review/#logaf-scale):
    • skills/iterate-pr/scripts/fetch_pr_feedback.py:189contacts develop.sentry.dev
      LOGAF scale (https://develop.sentry.dev/engineering-practices/code-review/#logaf-scale):
  • 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 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 getsentry/skills at c2f99a5b04.

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

Scanned
7 files, 1,381 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 iterate-pr skill allows an AI agent to automatically create and update pull requests on a Git repository. It can generate new branches, commit changes, and open or modify pull request descriptions based on provided instructions. This streamlines the code contribution workflow by automating repetitive tasks associated with creating and managing pull requests.

When to use it

  • Automating feature development: Use it to create pull requests for new features based on design specifications.
  • Refactoring existing code: Generate pull requests containing refactored code, allowing for review and merging.
  • Responding to bug reports: Automatically create pull requests that address identified bugs with suggested fixes.
  • Updating documentation: Keep documentation synchronized by automating the creation of pull requests for changes.

Key capabilities

  • Branch Creation
  • Commit Generation
  • Pull Request Opening/Modification
  • Description Generation

Example prompts

  • "Create a pull request for the new 'user authentication' feature, branching from main."
  • "Update the existing pull request #123 to include changes to the README file and update the description with details about the new API endpoint."
  • “Generate a pull request that refactors the payment processing module.”

Tips & gotchas

The agent needs appropriate permissions (read/write access) to the Git repository. Ensure the skill has access tokens or credentials configured correctly for successful operation.