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Create Issues

Checked
fradser·vlatest·testing·MIT

Automatically generates detailed bug reports and feature requests from project discussions and meeting transcripts.

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 fradser/dotclaude --skill create-issues -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

fradser

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 fradser/dotclaude at 9815c4f485.

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

Commit
9815c4f485
Manifest
github/skills/create-issues/SKILL.md
Scanned
4 files, 189 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 allows AI agents to automatically generate issues in a project's issue tracker. It can be used to streamline workflows, reduce manual effort, and ensure that potential problems are captured and addressed promptly. The tool is designed for integration with various platforms and aims to improve overall project management efficiency.

When to use it

  • Bug Reporting: Automatically create issues from error logs or crash reports.
  • Feature Requests: Generate issues based on user feedback or proposed enhancements.
  • Task Management: Create issues for recurring tasks, such as weekly status updates or code reviews.
  • Incident Response: Quickly generate incident reports and track resolution progress.

Key capabilities

  • Issue creation in a project’s issue tracker
  • Integration with various platforms (unspecified)
  • Streamlines workflows
  • Reduces manual effort

Example prompts

  • "Create an issue for the error 'NullPointerException' in module X."
  • "Generate a feature request for implementing dark mode on the website."
  • “Log this crash report as a new issue.”

Tips & gotchas

The skill’s effectiveness depends on accurate and detailed information provided in prompts. Ensure that the AI agent has access to relevant data sources, such as error logs or user feedback, to generate meaningful issues.