resilience-hub-failure-mode-assessment
Runs and interprets AWS Resilience Hub v2 failure mode assessments.
Skill by awsOfficial
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: cloud
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/resilience-hub-failure-mode-assessment
What's inside
- Skill 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.
- License
- Apache-2.0
- Instructions
- 51 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- assessment-workflow.md · references/
SKILL.md (first lines)
# 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 To run assessments and triage findings, follow the procedure exactly. See [references/assessment-workflow.md](references/assessment-workflow.md). ## Troubleshooting ### Assessment fails with INVALID_PERMISSIONS 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. ### Too many findings — where to start? 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). ### AI-generated service functions are wrong 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). ## Security Considerations - **Least privilege:** the invoker role should be scoped to read-only discovery of only the resource types in the service's input sources; avoid granting access beyond what assessment needs. - **Encryption & access control:** recommend that S3 buckets used for report output have server-side encryption (SSE-S3 or SSE-KMS) and block public access — assessment reports can contain sensitive architectural detail. If a bucket policy grants the Resilience Hub service principal write access, scope it with `aws:SourceArn` / `aws:SourceAccount` condition keys to prevent confused-deputy writes. - **Further reading:** see [Security in AWS Resilience Hub](https://docs.aws.amazon.com/resilience-hub/latest/userguide/security.html) and the [AWS Well-Architected Security Pillar](https://docs.aws.amazon.com/wellarchitected/latest/security-pillar/welcome.html) for securing assessment outputs and IAM configurations.
From aws/agent-toolkit-for-aws, Apache-2.0.
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Signals
- Stars
- 3,049
- Forks
- 394
- Open issues
- 40
- Last commit (this folder)
- Jul 24, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/aws/agent-toolkit-for-aws
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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resilience-hub-failure-mode-assessment skill. Agent Mart. https://agentmart.dev/skills/aws-resilience-hub-failure-mode-assessment (last updated 2026-10-24)