| name | qa |
| description | Run QA validation on a pull request — boots the local environment, tests acceptance criteria, and optionally posts the report as a PR comment. Standalone entry point for the qa-engineer agent. |
| argument-hint | <PR-number-or-URL> |
QA
Standalone QA run for any PR. Boots the local environment, validates every acceptance
criterion, and produces a test report. Posting to GitHub is your choice — you are prompted
at the end.
Step 1 — Config
This skill targets wp-media/wp-rocket. Specs live at .TemporaryItems/Issues/wp-rocket/issues/<N>-spec.md.
Step 2 — Resolve the PR
Use $ARGUMENTS as the PR number or URL. If empty, resolve from the current branch:
gh pr list --head "$(git branch --show-current)" --json number,url -q '.[0] | "\(.number) \(.url)"'
If no PR is found, tell the user and stop.
Get the base branch:
gh pr view <PR_NUMBER> --json baseRefName -q .baseRefName
Step 3 — Invoke the qa-engineer agent
Invoke the qa-engineer sub-agent with:
- PR number and PR URL
- Base branch from Step 2
- Repo:
wp-media/wp-rocket
STANDALONE MODE — two differences from the normal pipeline run:
- Skip the PR-comment posting step. Instead, output the full QA report as
formatted Markdown in your response, in a section titled
## QA Report. Use the same
format the pipeline would post (including the <!-- ai-pipeline:qa-report --> marker).
- Skip the StructuredOutput JSON return. Output a short human-readable summary
instead: overall result, pass/fail per criterion, and any blockers.
All other steps run normally — the local environment is booted, acceptance
criteria are tested, and the full validation is performed.
Step 4 — Offer to post
After the agent responds, display its ## QA Report and ask:
Post this QA report to PR #<PR_NUMBER>?
Reply yes to post, no to finish here.
If yes — post with dedup: check for an existing <!-- ai-pipeline:qa-report --> comment,
update it with gh api --method PATCH repos/wp-media/wp-rocket/issues/comments/$EXISTING_ID if found, otherwise create a new comment.
If no — confirm the QA run is complete and finish.
