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Forge Address Pr Feedback

Checked
mgratzer·vlatest·backend·MIT

This skill analyzes pull request comments to generate structured feedback data for improved address forging and development processes.

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 mgratzer/forge --skill forge-address-pr-feedback -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

mgratzer

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 mgratzer/forge at 60d6bca1a3.

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

Scanned
1 file, 115 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 analyzes pull requests (PRs) related to address formatting and provides feedback. It can identify potential issues with address validation, standardization, or parsing logic within a codebase. The tool aims to improve the quality of address handling in software projects by automating review processes.

When to use it

  • Reviewing changes to address formatting libraries or components.
  • Ensuring compliance with specific address standards (e.g., USPS).
  • Automating feedback for developers working on address-related features.
  • Identifying potential bugs in address parsing and validation logic.

Key capabilities

  • PR analysis of address formatting code
  • Feedback generation based on predefined rules
  • Identification of potential issues with address validation
  • Standardization checks

Example prompts

  • "Analyze this pull request: [link to PR]"
  • "Give me feedback on changes to the address parsing logic."
  • "Check for compliance with USPS standards in this code."

Tips & gotchas

The skill requires access to the codebase within the pull request. Ensure appropriate permissions are granted to the AI agent using this skill for accurate analysis and relevant feedback.