
CI Issue Creator
OfficialFreeStreamline GitHub Actions failure reporting.
Free · Opens the source repo
What CI Issue Creator does
The CI Issue Creator skill is designed to automate the process of investigating and reporting failures in GitHub Actions workflows, specifically for the NVIDIA/Megatron-LM repository. This skill takes a GitHub Actions URL as input, allowing users to extract relevant information about failed jobs within a CI run. By parsing the provided URL, the skill identifies failed jobs, retrieves their logs, and extracts critical details such as error messages and test failures. This streamlining reduces the manual effort required to triage CI failures and create structured issues.
Once the skill identifies the root cause of the failure, it checks for any existing open issues that might cover the same problem, ensuring that duplicate issues are not created. If no duplicates are found, it proceeds to create a new issue with a well-defined structure that includes the triggering pull request information, error details, and relevant links. The issue is then assigned to the author of the test file that failed, facilitating quicker resolutions by notifying the appropriate developer.
This skill is particularly useful for developers and teams working with continuous integration systems who need to efficiently manage and resolve CI failures. By automating the issue creation process, it helps maintain workflow efficiency and encourages prompt attention to bugs, ultimately leading to a more stable development environment.
The CI Issue Creator skill is best utilized in scenarios where GitHub Actions are employed for CI/CD pipelines. It is especially beneficial for teams that regularly encounter test failures and need a systematic way to report and track these issues. The skill's design ensures that it captures all necessary information to facilitate effective debugging and resolution of CI-related problems.
When to use it
Use this skill when you encounter a failing GitHub Actions job and need to create a structured issue for the failure.
When not to use it
This skill is not suitable for projects outside the NVIDIA/Megatron-LM repository or for non-GitHub Actions CI systems.
What you can build with it
Reporting a CI Failure
When a CI job fails, use this skill to automatically create an issue detailing the failure.
Identifying Root Causes
Leverage the skill to extract error logs and pinpoint the root cause of CI failures.
Managing Test Failures
Use the skill to streamline the process of reporting test failures in your CI pipeline.
How to install CI Issue Creator
View source1. Install with the skills CLI
npx skills add nvidia/skills/mcore-create-issue --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by nvidiaTriage 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_idwas provided, use that job directly. -
If only a
run_idwas provided, list all failed jobs in the run: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:
# 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:
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:
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:
# 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:
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:
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.
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:
**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.
Frequently asked questions about CI Issue Creator
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