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Dyad:Feedback To Issues

Checked
dyad-sh·vlatest·other

Dyad:Feedback To Issues streamlines issue resolution by automatically generating targeted feedback requests for faster, more informed responses.

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 dyad-sh/dyad --skill dyad:feedback-to-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

dyad-sh

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 dyad-sh/dyad at 3da45c8bb3.

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

Commit
3da45c8bb3
Manifest
.claude/skills/feedback-to-issues/SKILL.md
Scanned
1 file, 85 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 an AI agent to create issues from feedback. It can parse user feedback, extract relevant information (like title and description), and automatically generate a new issue in a specified repository. This streamlines the process of turning feedback into actionable tasks within project management workflows.

When to use it

  • You receive frequent feedback via email or other channels that needs to be translated into development tasks.
  • A user submits feedback through a form, and you want to automatically create an issue in your project's repository.
  • You need to quickly capture bug reports or feature requests from customer support interactions.
  • You want to reduce manual effort involved in creating issues based on external feedback sources.

Key capabilities

  • Issue creation from feedback
  • Parsing user feedback
  • Information extraction (title, description)
  • Repository specification

Example prompts

  • "Create an issue for this feedback: 'The login button is not working.'"
  • "Generate a new issue in the 'my-project' repository based on this message: 'Please add dark mode support.'"
  • "Turn this customer review into an actionable task: 'The search functionality is slow and inaccurate.'"

Tips & gotchas

  • Ensure the AI agent has appropriate permissions to create issues within the target repository.
  • The skill's effectiveness depends on clear and structured feedback; ambiguous or unstructured input may require manual refinement.