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Gh Fix Ci

Official
openai·vlatest·devops

Automatically fixes common issues in GitHub CI/CD pipelines, streamlining workflows and reducing deployment failures for improved reliability.

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 openai/skills --skill gh-fix-ci -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

openai

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 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 openai/skills at 49f948faa9.

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

Commit
49f948faa9
Manifest
skills/.curated/gh-fix-ci/SKILL.md
Scanned
4 files, 587 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 gh-fix-ci skill automates the process of identifying and resolving issues in GitHub Actions CI/CD pipelines. It analyzes build logs, detects common errors, and suggests fixes to ensure smooth integration and deployment workflows.

When to use it

  • Your GitHub Actions pipeline is failing due to configuration or environment issues.
  • You want to quickly identify the root cause of a failed CI job without manually parsing logs.
  • You're looking for automated suggestions to fix common CI/CD errors such as dependency mismatches, incorrect syntax, or missing secrets.

Key capabilities

  • Parses GitHub Actions build logs and identifies error patterns.
  • Suggests targeted fixes for common CI pipeline issues.
  • Integrates with GitHub repositories to apply changes directly or provide actionable recommendations.

Example prompts

  • "Fix the failing GitHub Actions workflow in this repository."
  • "What is causing my CI job to fail, and how can I resolve it?"
  • "Analyze the latest build log and suggest corrections for the GitHub Actions pipeline."

Tips & gotchas

  • Ensure that your GitHub Actions logs are accessible and include detailed error messages for accurate analysis.
  • Some complex or environment-specific issues may require manual review in addition to automated suggestions.