mcore-create-issue — Claude Code skill: what it does, how to install
Investigates failing GitHub Actions runs for NVIDIA/Megatron-LM, extracts the error cause, and files a structured bug report.
npx skills add NVIDIA/skills --skill mcore-create-issue -a claude-codeWhat mcore-create-issue does
The skill takes a GitHub Actions run or job URL. Using the gh command-line tool, it queries failed jobs and pulls raw failure logs. The script extracts pytest errors, assertion failures, or exceptions, capping tracebacks at 30 lines.
Next, it identifies the triggering pull request and finds who touched the test file. Before opening a bug, the skill checks for duplicates using gh issue list. Duplicate runs halt immediately. If nothing matches, it opens a bug issue and assigns that author.
The workflow strictly targets the NVIDIA/Megatron-LM repository. You must have the gh CLI installed and authenticated with repository access, or the commands will fail.
What it helps with
- Inspect failed GitHub Actions jobs and pull error logs
- Locate the failing test author from recent commit history
- Search existing open tickets to prevent duplicate issue creation
- File a formatted bug report assigned to the responsible author
Example prompts for the agent
- Triage this GitHub Actions failure:
https://github.com/<owner>/<repo>/actions/runs/<run_id> - Create an issue for this failure:
https://github.com/<owner>/<repo>/actions/runs/<run_id>/job/<job_id> - File a bug for this CI run:
https://github.com/<owner>/<repo>/actions/runs/<run_id>
How to install mcore-create-issue
1Skills CLI (Vercel)
npx skills add NVIDIA/skills --skill mcore-create-issue -a claude-code2Manually: put the files in place
~/.claude/skills/mcore-create-issue/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/mcore-create-issue/
1Skills CLI (Vercel)
npx skills add NVIDIA/skills --skill mcore-create-issue -a codex2Manually: put the files in place
.agents/skills/mcore-create-issue/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add NVIDIA/skills --skill mcore-create-issue -a cursor2Manually: put the files in place
.cursor/skills/mcore-create-issue/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install NVIDIA/skills mcore-create-issue2Manually: put the files in place
.github/skills/mcore-create-issue/SKILL.md1Skills CLI (Vercel)
npx skills add NVIDIA/skills --skill mcore-create-issue -a gemini-cli2Platform CLI
gemini skills install https://github.com/NVIDIA/skills --path skills/mcore-create-issueManually: put the files in place
.devin/skills/mcore-create-issue/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add NVIDIA/skills --skill mcore-create-issue -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about mcore-create-issue
How do I install mcore-create-issue in Claude Code?
Run npx skills add NVIDIA/skills --skill mcore-create-issue -a claude-code in your terminal.
What does mcore-create-issue do?
It inspects failed GitHub Actions logs for NVIDIA/Megatron-LM, identifies the test author, and opens a structured bug issue.
How does the skill handle duplicate issues?
It runs gh issue list searching for the failed test filename. If an open issue matches, it returns that link and stops without creating a duplicate.
Source text
SKILL.md · Apache-2.0
--- name: mcore-create-issue description: Investigate a failing GitHub Actions run or job and create a GitHub issue for the failure. license: Apache-2.0 when_to_use: User shares a GitHub Actions URL and wants to file a bug report; 'create an issue for this failure', 'file a bug for this CI run', 'triage this GitHub Actions failure'. user_invocable: true argument: "GitHub Actions run or job URL" metadata: author: Philip Petrakian <[email protected]> --- # Triage CI Failure into a GitHub Issue Investigate a failing GitHub Actions job, extract the root cause, and file a well-structured bug issue against `NVIDIA/Megatron-LM`. ## Workflow ### 1. Parse the URL The argument is a GitHub Actions URL. It will be one of: - **Job URL**: `https://github.com/<owner>/<repo>/actions/runs/<run_id>/job/<job_id>` - **Run URL**: `https://github.com/<owner>/<repo>/actions/runs/<run_id>` Extract `run_id` and, if present, `job_id`. ### 2. Identify failed jobs - If a `job_id` was provided, use that job directly. - If only a `run_id` was provided, list all failed jobs in the run: ```bash gh run view <run_id> --repo NVIDIA/Megatron-LM --json jobs \ --jq '[.jobs[] | select(.conclusion == "failure") | {id: .databaseId, name: .name, url: .url}]' ``` If multiple jobs failed, ask the user which one to triage, or triage all of them if they say so. ### 3. Fetch the failure logs For each failed job, retrieve the logs and narrow them down to the failure: ```bash # Pull the raw log and keep only error-bearing lines gh api repos/NVIDIA/Megatron-LM/actions/jobs/<job_id>/logs 2>&1 \ | grep -E "(FAILED|ERROR|\bError\b|assert|Traceback|Exception|##\[error\])" \ | head -200 ``` Also capture the full job name: ```bash gh run view --job <job_id> --repo NVIDIA/Megatron-LM --json name --jq .name ``` If the grep output is sparse, download the full logs and look for the pytest `FAILURES` section or the last non-zero exit signal. ### 4. Resolve the triggering PR and test author **Triggering PR**: the run's head branch follows the pattern `pull-request/<number>`. Extract it and resolve the PR: ```bash gh run view <run_id> --repo NVIDIA/Megatron-LM --json headBranch --jq .headBranch # → e.g. "pull-request/4332" # Extract PR number and fetch metadata: gh pr view <pr_number> --repo NVIDIA/Megatron-LM --json number,title,url \ --jq '{number: .number, title: .title, url: .url}' ``` **Test file author**: find the GitHub login of whoever last touched the failing test file. The file may not exist on `main` — first determine the PR's base branch, then search from there: ```bash # 1. Get the PR's base branch (e.g. "main", "dev", "release/X.Y") gh pr view <pr_number> --repo NVIDIA/Megatron-LM --json baseRefName --jq .baseRefName # 2. Search commits on that base branch gh api "repos/NVIDIA/Megatron-LM/commits?path=<test-file-path>&sha=<base-branch>&per_page=1" \ --jq '.[0] | {login: .author.login, name: .commit.author.name, sha: .sha}' ``` If the result is empty (file was introduced by the PR itself), query the PR's commits instead: ```bash gh api "repos/NVIDIA/Megatron-LM/pulls/<pr_number>/commits" \ --jq '[.[] | select(.files? // [] | any(.filename == "<test-file-path>"))] | .[0].author.login' ``` As a last resort, list the PR commits and pick the author of the commit whose message most closely relates to the failing test file. ### 5. Extract the root cause From the logs, identify: - **Failed test(s)**: lines matching `FAILED tests/...::...` give the exact pytest node IDs. - **Error message**: the assertion failure, exception type, or first meaningful traceback frame — keep it under ~30 lines. - **Job name**: the GitHub Actions job name (e.g. `tests/unit_tests/transformer/moe/**/*.py - latest`). - **Run / job URLs** and **PR URL**: for linking in the issue. ### 6. Check for duplicate issues Search for open issues that already cover the same test: ```bash gh issue list --repo NVIDIA/Megatron-LM \ --state open \ --search "<failed-test-filename>" \ --json number,title,url \ --limit 10 ``` - If a matching open issue exists, **do not create a new one**. Report the existing issue to the user and stop. - If no match is found, proceed to file a new issue. ### 7. Create the issue Pass `--assignee <test-author-login>` to assign the issue to the test file's author. Include the triggering PR URL in the issue body. ```bash gh issue create \ --repo NVIDIA/Megatron-LM \ --title "🐛 CI failure: <failed-test-node-id>" \ --label "bug" \ --assignee "<test-author-login>" \ --body "..." ``` Use the bug-report template body structure: ```markdown **Describe the bug** CI test `<failed-test-node-id>` failed in job [`<job-name>`](<job-url>). Tag @NVIDIA/mcore-oncall to get oncall's attention to this issue. **Failing run** | Field | Value | |-------|-------| | PR | [#<pr_number>: <pr_title>](<pr_url>) | | Run | [<run_id>](<run_url>) | | Job | [<job_name>](<job_url>) | **Error** ``` <core error message / traceback — 30 lines max> ``` **Steps/Code to reproduce bug** Re-run the failing CI job linked above, or locally inside the dev container: ```bash pytest <failed-test-node-id> ``` **Additional context** Triaged automatically via `/triage-issue`. ``` If multiple tests failed in the same job, list each one as a separate bullet under "Describe the bug" and include the combined error snippets. Assign the issue to the author of whichever test file appears first in the failure list. ### 8. Report back to the user Print the URL of the newly created issue (or the duplicate, if found) so the user can review or share it. ## Important guidelines - Never create an issue if a duplicate already exists — link the existing one instead. - Always include the triggering PR link in the issue body. - Always assign the issue to the test file's most recent author. If the author lookup fails (e.g. the commit was made by a bot or the login is unavailable), skip `--assignee` and note it in the "Additional context" section. - Keep the error snippet concise (≤30 lines). Truncate long tracebacks and note that the full log is available via the job URL. - Do not guess the root cause — quote the actual log output verbatim. - If the job is still in progress or the logs are unavailable, say so and ask the user to retry once the run completes.
© Philip Petrakian · Apache-2.0 · NVIDIA/skills