agentsclimarketplace

Gh fix ci

Skill bg-szy/TOP-SKILLS/skills/marketplace/gh-fix-ci

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Install
npx -y skills add bg-szy/TOP-SKILLS --skill gh-fix-ci

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What its author says it does

Copied from the file, not written here

Inspect GitHub PR checks with gh, pull failing GitHub Actions logs, summarize failure context, then create a fix plan and implement after user approval. Use when a user asks to debug or fix failing PR CI/CD checks on GitHub Actions and wants a plan + code changes; for external checks (e.g., Buildkite), only report the details URL and mark them out of scope.

SKILL.md

3.8 KB, as published. Nobody here has run it

Gh Pr Checks Plan Fix

Overview

Use gh to locate failing PR checks, fetch GitHub Actions logs for actionable failures, summarize the failure snippet, then propose a fix plan and implement after explicit approval.

  • Depends on the plan skill for drafting and approving the fix plan.

Prereq: ensure gh is authenticated (for example, run gh auth login once), then run gh auth status with escalated permissions (include workflow/repo scopes) so gh commands succeed. If sandboxing blocks gh auth status, rerun it with sandbox_permissions=require_escalated.

Inputs

  • repo: path inside the repo (default .)
  • pr: PR number or URL (optional; defaults to current branch PR)
  • gh authentication for the repo host

Quick start

  • python "<path-to-skill>/scripts/inspect_pr_checks.py" --repo "." --pr "<number-or-url>"
  • Add --json if you want machine-friendly output for summarization.

Workflow

  1. Verify gh authentication.
    • Run gh auth status in the repo with escalated scopes (workflow/repo) after running gh auth login.
    • If sandboxed auth status fails, rerun the command with sandbox_permissions=require_escalated to allow network/keyring access.
    • If unauthenticated, ask the user to log in before proceeding.
  2. Resolve the PR.
    • Prefer the current branch PR: gh pr view --json number,url.
    • If the user provides a PR number or URL, use that directly.
  3. Inspect failing checks (GitHub Actions only).
    • Preferred: run the bundled script (handles gh field drift and job-log fallbacks):
      • python "<path-to-skill>/scripts/inspect_pr_checks.py" --repo "." --pr "<number-or-url>"
      • Add --json for machine-friendly output.
    • Manual fallback:
      • gh pr checks <pr> --json name,state,bucket,link,startedAt,completedAt,workflow
        • If a field is rejected, rerun with the available fields reported by gh.
      • For each failing check, extract the run id from detailsUrl and run:
        • gh run view <run_id> --json name,workflowName,conclusion,status,url,event,headBranch,headSha
        • gh run view <run_id> --log
      • If the run log says it is still in progress, fetch job logs directly:
        • gh api "/repos/<owner>/<repo>/actions/jobs/<job_id>/logs" > "<path>"
  4. Scope non-GitHub Actions checks.
    • If detailsUrl is not a GitHub Actions run, label it as external and only report the URL.
    • Do not attempt Buildkite or other providers; keep the workflow lean.
  5. Summarize failures for the user.
    • Provide the failing check name, run URL (if any), and a concise log snippet.
    • Call out missing logs explicitly.
  6. Create a plan.
    • Use the plan skill to draft a concise plan and request approval.
  7. Implement after approval.
    • Apply the approved plan, summarize diffs/tests, and ask about opening a PR.
  8. Recheck status.
    • After changes, suggest re-running the relevant tests and gh pr checks to confirm.

Bundled Resources

scripts/inspect_pr_checks.py

Fetch failing PR checks, pull GitHub Actions logs, and extract a failure snippet. Exits non-zero when failures remain so it can be used in automation.

Usage examples:

  • python "<path-to-skill>/scripts/inspect_pr_checks.py" --repo "." --pr "123"
  • python "<path-to-skill>/scripts/inspect_pr_checks.py" --repo "." --pr "https://github.com/org/repo/pull/123" --json
  • python "<path-to-skill>/scripts/inspect_pr_checks.py" --repo "." --max-lines 200 --context 40

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.