gh-fix-ci
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
planskill 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)ghauthentication for the repo host
Quick start
python "<path-to-skill>/scripts/inspect_pr_checks.py" --repo "." --pr "<number-or-url>"- Add
--jsonif you want machine-friendly output for summarization.
Workflow
- Verify gh authentication.
- Run
gh auth statusin the repo with escalated scopes (workflow/repo) after runninggh auth login. - If sandboxed auth status fails, rerun the command with
sandbox_permissions=require_escalatedto allow network/keyring access. - If unauthenticated, ask the user to log in before proceeding.
- Run
- 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.
- Prefer the current branch PR:
- 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
--jsonfor 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.
- If a field is rejected, rerun with the available fields reported by
- For each failing check, extract the run id from
detailsUrland run:gh run view <run_id> --json name,workflowName,conclusion,status,url,event,headBranch,headShagh 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>"
- Preferred: run the bundled script (handles gh field drift and job-log fallbacks):
- Scope non-GitHub Actions checks.
- If
detailsUrlis 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.
- If
- Summarize failures for the user.
- Provide the failing check name, run URL (if any), and a concise log snippet.
- Call out missing logs explicitly.
- Create a plan.
- Use the
planskill to draft a concise plan and request approval.
- Use the
- Implement after approval.
- Apply the approved plan, summarize diffs/tests, and ask about opening a PR.
- Recheck status.
- After changes, suggest re-running the relevant tests and
gh pr checksto confirm.
- After changes, suggest re-running the relevant tests and
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" --jsonpython "<path-to-skill>/scripts/inspect_pr_checks.py" --repo "." --max-lines 200 --context 40
More from outlinedriven/odin-claude-plugin
ast-grep
Effective code search, analysis, and refactoring using ast-grep (sg). Use this skill for precise AST-based code modifications, structural search, and linting.
2proceed
Execute an implementation plan with surgical precision. Use after a planning phase (plan-now or similar) has produced a step-by-step strategy and identified critical files. Focuses on precise code changes with verification at each step.
1askme
Verbalized Sampling (VS) protocol for deep intent exploration before planning. Use when starting ambiguous or complex tasks, when multiple interpretations exist, or when you need to explore diverse intent hypotheses and ask maximum clarifying questions before committing to an approach.
1inits
Analyze a codebase and create or improve an AGENTS.md file for future agent instances. Use when onboarding to a repository and capturing hard-to-rediscover conventions, constraints, and rationale.
1plans
Software architect and planning specialist - conduct thorough read-only planning before any action. Use when exploring a codebase to design implementation plans, defining objectives, gathering relevant files, and summarizing available tools before coding begins.
1reviews
Review the code changes on the current branch. Use when the user asks to review their current work, analyze recent commits, or get a code quality assessment of the active branch against the main branch.
1