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Command

/release-readiness

Trigger a pre-merge release readiness review on a GitHub PR, GitLab MR, or local branch

From plugin
agent-toolkit-for-aws
3.4k10 skills7 agents10 commands3 MCP
> /plugin marketplace add aws/agent-toolkit-for-aws

Command definition

release-readiness.md
description: Trigger a pre-merge code change risk analysis on a GitHub PR, GitLab MR, or local branch
argument-hint: [PR/MR URL or repo name]

Read and follow the `analyzing-release-readiness` skill for full execution details.

**IMPORTANT: NEVER use `gh` CLI, `glab` CLI, `curl`, or any external tool to fetch PR/MR details. All required fields (repository, prNumber/mergeRequestIid, hostname) MUST be parsed directly from the URL string. The DevOps Agent fetches the content itself.**

Step 0 — Choose your execution path (DO THIS FIRST)

Check your available tools. Do you have ALL of these tools?

  • `aws_devops_agent__create_code_change_risk_analysis`
  • `aws_devops_agent__get_task`
  • `aws_devops_agent__list_journal_records`
  • `aws_devops_agent__get_code_change_risk_analysis_report`

These tools are NOT deferred/lazy-loaded — if they do not appear in your tool list, they are unavailable. Do NOT search for them via ToolSearch.

  • **YES (all present)** → Use the "Remote Server" path below
  • **NO** → Tell the user: "Remote server not configured." Then prompt the user with instructions from the `setup-devops-agent` skill if they intend to set up the connection. If not, mention that you are "proceeding with the AWS CLI fallback." Then use the Fallback (CLI) path below.

---

Common to both paths (see skill: "Gathering execution parameters")

1. If `$ARGUMENTS` contains a URL (github.com or gitlab.com), parse the PR/MR details directly from the URL string — do NOT fetch or inspect the PR via any tool. 2. If `$ARGUMENTS` is a repo name or path, use the "Local GitHub/GitLab repo" flow below. 3. If `$ARGUMENTS` is empty, check the current git repository and use the local flow. 4. Build the `content` object following the skill's "Gathering execution parameters" section. 5. Ask the user about automated testing (static-only vs full analysis). Do NOT proceed until the user answers.

Remote Server path (see skill: "Core workflow")

1. Call `aws_devops_agent__create_code_change_risk_analysis(content={...}, skip_automated_testing=...)`. 2. Poll `aws_devops_agent__get_task(task_id=TASK_ID)` every 30s. 3. Stream progress via `aws_devops_agent__list_journal_records(execution_id=EXEC_ID, order="ASC")`. 4. On `COMPLETED`: call `aws_devops_agent__get_code_change_risk_analysis_report(execution_id=EXEC_ID)`, save to file, and run the auto-fix flow from the skill.

Fallback (CLI) path

Use this path when the remote server tools are unavailable.

1. List agent spaces with `aws devops-agent list-agent-spaces --region us-east-1` and ask the user which one to use. **Do NOT proceed until the user has selected one.** 2. Build the `content` object using the guidance from the `analyzing-release-readiness` skill's "Gathering execution parameters" section. Key rules: `githubPrContent`/`gitlabMrContent` MUST be an array, `prNumber`/`mergeRequestIid` MUST be strings. 3. Start the job (**CRITICAL:** `content` must be a single object, NOT wrapped in a list. Correct: `{"githubPrContent": [...]}`. Wrong: `[{"githubPrContent": [...]}]`):

    aws devops-agent create-backlog-task \
      --agent-space-id SPACE_ID \
      --task-type CODE_CHANGE_RISK_ANALYSIS \
      --title 'Code Change Risk Analysis' \
      --priority MEDIUM \
      --description '{"agentInput": {"content": <CONTENT_JSON>, "metadata": {"skipAutomatedTesting": true/false}}}' \
      --region us-east-1

4. Poll for status every 30s:

    aws devops-agent get-backlog-task \
      --agent-space-id SPACE_ID \
      --task-id TASK_ID \
      --region us-east-1

5. Stream progress — once `IN_PROGRESS`, poll journal records and present updates to the user:

    aws devops-agent list-journal-records \
      --agent-space-id SPACE_ID \
      --execution-id EXEC_ID \
      --order ASC \
      --region us-east-1

Use `next_token` from the response to fetch only new records on subsequent polls. **Wait 15 seconds** between each poll iteration. Keep polling until the task reaches a terminal status (`COMPLETED`, `FAILED`, `CANCELED`, `TIMED_OUT`).

6. On `COMPLETED`, retrieve the report:

    aws devops-agent list-journal-records \
      --agent-space-id SPACE_ID \
      --execution-id EXEC_ID \
      --record-type release_analysis_report \
      --order ASC \
      --region us-east-1

Save the report to `code-change-risk-analysis-<YYYY-MM-DD-HHmmss>.md` and run the auto-fix flow from the skill.

On `FAILED` or `TIMED_OUT`: present the error and suggest next steps. On `CANCELED`: inform the user no report is available.

7. After analysis completes, clean up the review branch (if local flow was used — see below). 8. To cancel a running job:

    aws devops-agent update-backlog-task \
      --agent-space-id SPACE_ID \
      --task-id TASK_ID \
      --task-status CANCELED \
      --region us-east-1

---

Local GitHub/GitLab repo flow (no PR/MR URL provided)

When `$ARGUMENTS` is a repo name/path or empty (steps 2-3 above), execute this flow to prepare the content object. The review agent needs a pushed branch to read from — do NOT shortcut.

1. **Navigate to the repository directory**: `cd` to the repo root. Ask the user if needed. 2. **Determine the base branch**: Use `main` unless the user specifies otherwise. Verify:

   BASE_BRANCH="main"
   if ! git show-ref --verify --quiet refs/remotes/origin/$BASE_BRANCH; then
       git fetch origin $BASE_BRANCH
   fi

If fetch fails, ask the user to specify the base branch and stop. 3. **Check for local changes**: Run `git status --short` and `git rev-list --count origin/$BASE_BRANCH..HEAD`:

  • **Clean AND not ahead**: Nothing to analyze — stop.
  • **Has uncommitted changes**: Tell the user what will be committed and pushed. **Do NOT proceed until the user approves.**
  • **Clean but ahead of remote**: Tell the user commits will be pushed. **Do NOT proceed until the user approves.**

4. **Stash uncommi

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Help AI coding agents build, deploy, and manage applications on AWS. The Agent Toolkit for AWS gives AI coding agents the tools, knowledge, and guardrails they need to work with AWS services.

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