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resilience-hub-failure-mode-assessment

aws/agent-toolk…-for-aws

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.

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安装命令

npx skills add https://github.com/aws/agent-toolkit-for-aws --skill resilience-hub-failure-mode-assessment

SKILL.md

Failure Mode Assessment

Overview

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.

Guardrail — where this skill's own files live (MCP vs local install)

Before reading a reference file, determine how this skill was loaded:

  • Loaded via the AWS MCP retrieve_skill tool: the skill's reference files are not on the local filesystem. Fetch each one through retrieve_skill with the file parameter (e.g. file="references/assessment-workflow.md") — do NOT file_read these paths locally or search the filesystem for them.
  • Installed locally (e.g. .kiro/skills/resilience-hub-failure-mode-assessment/ or ~/.claude/skills/resilience-hub-failure-mode-assessment/): read reference files from the local skill directory using the relative paths shown here.

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.

Run and interpret assessments

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