ChatGPT Codex CLI OpenAI Skill

gh-fix-ci

Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external providers (for example Buildkite) as out of scope

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Download openai-skills-skills_.curated_gh-fix-ci-49f948f.zip · 12 KB
Part of openai/skills — 44 skills

Install

skills CLI npx skills add https://github.com/openai/skills/tree/main/skills/.curated/gh-fix-ci
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install openai-skills@llmmart
Git git clone https://github.com/openai/skills.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole openai/skills collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

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.

  • If a plan-oriented skill (for example create-plan) is available, use it; otherwise draft a concise plan inline and request approval before implementing.

Prereq: authenticate with the standard GitHub CLI once (for example, run gh auth login), then confirm with gh auth status (repo + workflow scopes are typically required).

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.
    • If unauthenticated, ask the user to run gh auth login (ensuring repo + workflow scopes) 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 create-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
Files (skills)
  • agents
    • openai.yaml 302 B
      interface:
        display_name: "GitHub Fix CI"
        short_description: "Debug failing GitHub Actions CI"
        icon_small: "./assets/github-small.svg"
        icon_large: "./assets/github.png"
        default_prompt: "Inspect failing GitHub Actions checks in this repo, summarize root cause, and propose a focused fix plan."
      
  • assets
    • github-small.svg 853 B · in bundle
    • github.png 1.8 KB · in bundle
  • scripts
    • inspect_pr_checks.py 14.9 KB
      #!/usr/bin/env python3
      from __future__ import annotations
      
      import argparse
      import json
      import re
      import subprocess
      import sys
      from pathlib import Path
      from shutil import which
      from typing import Any, Iterable, Sequence
      
      FAILURE_CONCLUSIONS = {
          "failure",
          "cancelled",
          "timed_out",
          "action_required",
      }
      
      FAILURE_STATES = {
          "failure",
          "error",
          "cancelled",
          "timed_out",
          "action_required",
      }
      
      FAILURE_BUCKETS = {"fail"}
      
      FAILURE_MARKERS = (
          "error",
          "fail",
          "failed",
          "traceback",
          "exception",
          "assert",
          "panic",
          "fatal",
          "timeout",
          "segmentation fault",
      )
      
      DEFAULT_MAX_LINES = 160
      DEFAULT_CONTEXT_LINES = 30
      PENDING_LOG_MARKERS = (
          "still in progress",
          "log will be available when it is complete",
      )
      
      
      class GhResult:
          def __init__(self, returncode: int, stdout: str, stderr: str):
              self.returncode = returncode
              self.stdout = stdout
              self.stderr = stderr
      
      
      def run_gh_command(args: Sequence[str], cwd: Path) -> GhResult:
          process = subprocess.run(
              ["gh", *args],
              cwd=cwd,
              text=True,
              capture_output=True,
          )
          return GhResult(process.returncode, process.stdout, process.stderr)
      
      
      def run_gh_command_raw(args: Sequence[str], cwd: Path) -> tuple[int, bytes, str]:
          process = subprocess.run(
              ["gh", *args],
              cwd=cwd,
              capture_output=True,
          )
          stderr = process.stderr.decode(errors="replace")
          return process.returncode, process.stdout, stderr
      
      
      def parse_args() -> argparse.Namespace:
          parser = argparse.ArgumentParser(
              description=(
                  "Inspect failing GitHub PR checks, fetch GitHub Actions logs, and extract a "
                  "failure snippet."
              ),
              formatter_class=argparse.ArgumentDefaultsHelpFormatter,
          )
          parser.add_argument("--repo", default=".", help="Path inside the target Git repository.")
          parser.add_argument(
              "--pr", default=None, help="PR number or URL (defaults to current branch PR)."
          )
          parser.add_argument("--max-lines", type=int, default=DEFAULT_MAX_LINES)
          parser.add_argument("--context", type=int, default=DEFAULT_CONTEXT_LINES)
          parser.add_argument("--json", action="store_true", help="Emit JSON instead of text output.")
          return parser.parse_args()
      
      
      def main() -> int:
          args = parse_args()
          repo_root = find_git_root(Path(args.repo))
          if repo_root is None:
              print("Error: not inside a Git repository.", file=sys.stderr)
              return 1
      
          if not ensure_gh_available(repo_root):
              return 1
      
          pr_value = resolve_pr(args.pr, repo_root)
          if pr_value is None:
              return 1
      
          checks = fetch_checks(pr_value, repo_root)
          if checks is None:
              return 1
      
          failing = [c for c in checks if is_failing(c)]
          if not failing:
              print(f"PR #{pr_value}: no failing checks detected.")
              return 0
      
          results = []
          for check in failing:
              results.append(
                  analyze_check(
                      check,
                      repo_root=repo_root,
                      max_lines=max(1, args.max_lines),
                      context=max(1, args.context),
                  )
              )
      
          if args.json:
              print(json.dumps({"pr": pr_value, "results": results}, indent=2))
          else:
              render_results(pr_value, results)
      
          return 1
      
      
      def find_git_root(start: Path) -> Path | None:
          result = subprocess.run(
              ["git", "rev-parse", "--show-toplevel"],
              cwd=start,
              text=True,
              capture_output=True,
          )
          if result.returncode != 0:
              return None
          return Path(result.stdout.strip())
      
      
      def ensure_gh_available(repo_root: Path) -> bool:
          if which("gh") is None:
              print("Error: gh is not installed or not on PATH.", file=sys.stderr)
              return False
          result = run_gh_command(["auth", "status"], cwd=repo_root)
          if result.returncode == 0:
              return True
          message = (result.stderr or result.stdout or "").strip()
          print(message or "Error: gh not authenticated.", file=sys.stderr)
          return False
      
      
      def resolve_pr(pr_value: str | None, repo_root: Path) -> str | None:
          if pr_value:
              return pr_value
          result = run_gh_command(["pr", "view", "--json", "number"], cwd=repo_root)
          if result.returncode != 0:
              message = (result.stderr or result.stdout or "").strip()
              print(message or "Error: unable to resolve PR.", file=sys.stderr)
              return None
          try:
              data = json.loads(result.stdout or "{}")
          except json.JSONDecodeError:
              print("Error: unable to parse PR JSON.", file=sys.stderr)
              return None
          number = data.get("number")
          if not number:
              print("Error: no PR number found.", file=sys.stderr)
              return None
          return str(number)
      
      
      def fetch_checks(pr_value: str, repo_root: Path) -> list[dict[str, Any]] | None:
          primary_fields = ["name", "state", "conclusion", "detailsUrl", "startedAt", "completedAt"]
          result = run_gh_command(
              ["pr", "checks", pr_value, "--json", ",".join(primary_fields)],
              cwd=repo_root,
          )
          if result.returncode != 0:
              message = "\n".join(filter(None, [result.stderr, result.stdout])).strip()
              available_fields = parse_available_fields(message)
              if available_fields:
                  fallback_fields = [
                      "name",
                      "state",
                      "bucket",
                      "link",
                      "startedAt",
                      "completedAt",
                      "workflow",
                  ]
                  selected_fields = [field for field in fallback_fields if field in available_fields]
                  if not selected_fields:
                      print("Error: no usable fields available for gh pr checks.", file=sys.stderr)
                      return None
                  result = run_gh_command(
                      ["pr", "checks", pr_value, "--json", ",".join(selected_fields)],
                      cwd=repo_root,
                  )
                  if result.returncode != 0:
                      message = (result.stderr or result.stdout or "").strip()
                      print(message or "Error: gh pr checks failed.", file=sys.stderr)
                      return None
              else:
                  print(message or "Error: gh pr checks failed.", file=sys.stderr)
                  return None
          try:
              data = json.loads(result.stdout or "[]")
          except json.JSONDecodeError:
              print("Error: unable to parse checks JSON.", file=sys.stderr)
              return None
          if not isinstance(data, list):
              print("Error: unexpected checks JSON shape.", file=sys.stderr)
              return None
          return data
      
      
      def is_failing(check: dict[str, Any]) -> bool:
          conclusion = normalize_field(check.get("conclusion"))
          if conclusion in FAILURE_CONCLUSIONS:
              return True
          state = normalize_field(check.get("state") or check.get("status"))
          if state in FAILURE_STATES:
              return True
          bucket = normalize_field(check.get("bucket"))
          return bucket in FAILURE_BUCKETS
      
      
      def analyze_check(
          check: dict[str, Any],
          repo_root: Path,
          max_lines: int,
          context: int,
      ) -> dict[str, Any]:
          url = check.get("detailsUrl") or check.get("link") or ""
          run_id = extract_run_id(url)
          job_id = extract_job_id(url)
          base: dict[str, Any] = {
              "name": check.get("name", ""),
              "detailsUrl": url,
              "runId": run_id,
              "jobId": job_id,
          }
      
          if run_id is None:
              base["status"] = "external"
              base["note"] = "No GitHub Actions run id detected in detailsUrl."
              return base
      
          metadata = fetch_run_metadata(run_id, repo_root)
          log_text, log_error, log_status = fetch_check_log(
              run_id=run_id,
              job_id=job_id,
              repo_root=repo_root,
          )
      
          if log_status == "pending":
              base["status"] = "log_pending"
              base["note"] = log_error or "Logs are not available yet."
              if metadata:
                  base["run"] = metadata
              return base
      
          if log_error:
              base["status"] = "log_unavailable"
              base["error"] = log_error
              if metadata:
                  base["run"] = metadata
              return base
      
          snippet = extract_failure_snippet(log_text, max_lines=max_lines, context=context)
          base["status"] = "ok"
          base["run"] = metadata or {}
          base["logSnippet"] = snippet
          base["logTail"] = tail_lines(log_text, max_lines)
          return base
      
      
      def extract_run_id(url: str) -> str | None:
          if not url:
              return None
          for pattern in (r"/actions/runs/(\d+)", r"/runs/(\d+)"):
              match = re.search(pattern, url)
              if match:
                  return match.group(1)
          return None
      
      
      def extract_job_id(url: str) -> str | None:
          if not url:
              return None
          match = re.search(r"/actions/runs/\d+/job/(\d+)", url)
          if match:
              return match.group(1)
          match = re.search(r"/job/(\d+)", url)
          if match:
              return match.group(1)
          return None
      
      
      def fetch_run_metadata(run_id: str, repo_root: Path) -> dict[str, Any] | None:
          fields = [
              "conclusion",
              "status",
              "workflowName",
              "name",
              "event",
              "headBranch",
              "headSha",
              "url",
          ]
          result = run_gh_command(["run", "view", run_id, "--json", ",".join(fields)], cwd=repo_root)
          if result.returncode != 0:
              return None
          try:
              data = json.loads(result.stdout or "{}")
          except json.JSONDecodeError:
              return None
          if not isinstance(data, dict):
              return None
          return data
      
      
      def fetch_check_log(
          run_id: str,
          job_id: str | None,
          repo_root: Path,
      ) -> tuple[str, str, str]:
          log_text, log_error = fetch_run_log(run_id, repo_root)
          if not log_error:
              return log_text, "", "ok"
      
          if is_log_pending_message(log_error) and job_id:
              job_log, job_error = fetch_job_log(job_id, repo_root)
              if job_log:
                  return job_log, "", "ok"
              if job_error and is_log_pending_message(job_error):
                  return "", job_error, "pending"
              if job_error:
                  return "", job_error, "error"
              return "", log_error, "pending"
      
          if is_log_pending_message(log_error):
              return "", log_error, "pending"
      
          return "", log_error, "error"
      
      
      def fetch_run_log(run_id: str, repo_root: Path) -> tuple[str, str]:
          result = run_gh_command(["run", "view", run_id, "--log"], cwd=repo_root)
          if result.returncode != 0:
              error = (result.stderr or result.stdout or "").strip()
              return "", error or "gh run view failed"
          return result.stdout, ""
      
      
      def fetch_job_log(job_id: str, repo_root: Path) -> tuple[str, str]:
          repo_slug = fetch_repo_slug(repo_root)
          if not repo_slug:
              return "", "Error: unable to resolve repository name for job logs."
          endpoint = f"/repos/{repo_slug}/actions/jobs/{job_id}/logs"
          returncode, stdout_bytes, stderr = run_gh_command_raw(["api", endpoint], cwd=repo_root)
          if returncode != 0:
              message = (stderr or stdout_bytes.decode(errors="replace")).strip()
              return "", message or "gh api job logs failed"
          if is_zip_payload(stdout_bytes):
              return "", "Job logs returned a zip archive; unable to parse."
          return stdout_bytes.decode(errors="replace"), ""
      
      
      def fetch_repo_slug(repo_root: Path) -> str | None:
          result = run_gh_command(["repo", "view", "--json", "nameWithOwner"], cwd=repo_root)
          if result.returncode != 0:
              return None
          try:
              data = json.loads(result.stdout or "{}")
          except json.JSONDecodeError:
              return None
          name_with_owner = data.get("nameWithOwner")
          if not name_with_owner:
              return None
          return str(name_with_owner)
      
      
      def normalize_field(value: Any) -> str:
          if value is None:
              return ""
          return str(value).strip().lower()
      
      
      def parse_available_fields(message: str) -> list[str]:
          if "Available fields:" not in message:
              return []
          fields: list[str] = []
          collecting = False
          for line in message.splitlines():
              if "Available fields:" in line:
                  collecting = True
                  continue
              if not collecting:
                  continue
              field = line.strip()
              if not field:
                  continue
              fields.append(field)
          return fields
      
      
      def is_log_pending_message(message: str) -> bool:
          lowered = message.lower()
          return any(marker in lowered for marker in PENDING_LOG_MARKERS)
      
      
      def is_zip_payload(payload: bytes) -> bool:
          return payload.startswith(b"PK")
      
      
      def extract_failure_snippet(log_text: str, max_lines: int, context: int) -> str:
          lines = log_text.splitlines()
          if not lines:
              return ""
      
          marker_index = find_failure_index(lines)
          if marker_index is None:
              return "\n".join(lines[-max_lines:])
      
          start = max(0, marker_index - context)
          end = min(len(lines), marker_index + context)
          window = lines[start:end]
          if len(window) > max_lines:
              window = window[-max_lines:]
          return "\n".join(window)
      
      
      def find_failure_index(lines: Sequence[str]) -> int | None:
          for idx in range(len(lines) - 1, -1, -1):
              lowered = lines[idx].lower()
              if any(marker in lowered for marker in FAILURE_MARKERS):
                  return idx
          return None
      
      
      def tail_lines(text: str, max_lines: int) -> str:
          if max_lines <= 0:
              return ""
          lines = text.splitlines()
          return "\n".join(lines[-max_lines:])
      
      
      def render_results(pr_number: str, results: Iterable[dict[str, Any]]) -> None:
          results_list = list(results)
          print(f"PR #{pr_number}: {len(results_list)} failing checks analyzed.")
          for result in results_list:
              print("-" * 60)
              print(f"Check: {result.get('name', '')}")
              if result.get("detailsUrl"):
                  print(f"Details: {result['detailsUrl']}")
              run_id = result.get("runId")
              if run_id:
                  print(f"Run ID: {run_id}")
              job_id = result.get("jobId")
              if job_id:
                  print(f"Job ID: {job_id}")
              status = result.get("status", "unknown")
              print(f"Status: {status}")
      
              run_meta = result.get("run", {})
              if run_meta:
                  branch = run_meta.get("headBranch", "")
                  sha = (run_meta.get("headSha") or "")[:12]
                  workflow = run_meta.get("workflowName") or run_meta.get("name") or ""
                  conclusion = run_meta.get("conclusion") or run_meta.get("status") or ""
                  print(f"Workflow: {workflow} ({conclusion})")
                  if branch or sha:
                      print(f"Branch/SHA: {branch} {sha}")
                  if run_meta.get("url"):
                      print(f"Run URL: {run_meta['url']}")
      
              if result.get("note"):
                  print(f"Note: {result['note']}")
      
              if result.get("error"):
                  print(f"Error fetching logs: {result['error']}")
                  continue
      
              snippet = result.get("logSnippet") or ""
              if snippet:
                  print("Failure snippet:")
                  print(indent_block(snippet, prefix="  "))
              else:
                  print("No snippet available.")
          print("-" * 60)
      
      
      def indent_block(text: str, prefix: str = "  ") -> str:
          return "\n".join(f"{prefix}{line}" for line in text.splitlines())
      
      
      if __name__ == "__main__":
          raise SystemExit(main())
      
  • LICENSE.txt 10.5 KB
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  • SKILL.md 3.6 KB
    ---
    name: "gh-fix-ci"
    description: "Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external providers (for example Buildkite) as out of scope and report only the details URL."
    ---
    
    
    # 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.
    - If a plan-oriented skill (for example `create-plan`) is available, use it; otherwise draft a concise plan inline and request approval before implementing.
    
    Prereq: authenticate with the standard GitHub CLI once (for example, run `gh auth login`), then confirm with `gh auth status` (repo + workflow scopes are typically required).
    
    ## 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.
       - If unauthenticated, ask the user to run `gh auth login` (ensuring repo + workflow scopes) 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 `create-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`
    

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