analyzing-release-read…
Trigger a pre-merge release readiness review on a GitHub PR, GitLab MR, or local branch. Use when the user wants to analyze code changes for risk, correctness,…
Runs and interprets AWS Resilience Hub v2 failure mode assessments. Covers starting assessments, understanding findings (severity, categories, recommendations), triaging by achievability, working with AI-generated service functions, and resolving findings. Applies when the user
$ npx -y skills add aws/agent-toolkit-for-aws --skill resilience-hub-failure-mode-assessment --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/resilience-hub-failure-mode-assessmentContext preview
The summary Claude sees to decide when to auto-load this skill.
Runs and interprets AWS Resilience Hub v2 failure mode assessments. Covers starting assessments, understanding findings (severity, categories, recommendations), triaging by achievability, working with AI-generated service functions, and resolving findings. Applies when the user
name: resilience-hub-failure-mode-assessment description: > Runs and interprets AWS Resilience Hub v2 failure mode assessments. Covers starting assessments, understanding findings (severity, categories, recommendations), triaging by achievability, working with AI-generated service functions, and resolving findings. Applies when the user wants to run an assessment, review findings, or understand failure modes, or has a specific finding and asks how to resolve, remediate, or fix it. Does not apply to initial setup (use resilience-hub-getting-started) or FIS experiments. version: 1
Domain expertise for running Resilience Hub v2 failure mode assessments, interpreting findings, triaging by severity and achievability, and driving remediation.
> The AWS MCP server is recommended for executing this skill's AWS API calls, but it is not required — all operations also work with the AWS CLI directly.
Before reading a reference file, determine how this skill was loaded:
This applies only to the skill's own reference files; always read and write user or session data in the working directory, never through `retrieve_skill`.
To run assessments and triage findings, follow the procedure exactly. See [references/assessment-workflow.md](references/assessment-workflow.md).
The service's permission model (invokerRoleName / crossAccountRoles) doesn't have access to the resources. Verify the invoker role (and any cross-account roles) can describe resources in all configured regions.
Prioritize by finding severity, highest first (HIGH, then MEDIUM, then LOW). For HIGH-severity findings, check the service's achievability for the relevant policy component (from `get-service` / `list-failure-mode-assessments`): NOT_ACHIEVABLE means the architecture must change before testing; ACHIEVABLE means validate the fix with an FIS experiment. MEDIUM findings: plan remediation this sprint; LOW findings: track but don't block (see the priority matrix in [references/assessment-workflow.md](references/assessment-workflow.md) Step 5).
Update them: `aws resiliencehubv2 update-service-function` to rename or change criticality (there is no service-function "type" parameter). Reassign resources by calling `create-service-function-resources` with the desired resource set (see [references/assessment-workflow.md](references/assessment-workflow.md) for the service-function operations).
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.
Repo: aws/agent-toolkit-for-aws
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