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resilience-hub-failure-mode-assessment

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.

79

Quality

100%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Low

Low-risk findings.

1 low severity finding. Worth noting, but not necessarily harmful.

Low

W011: Third-party content exposure detected (indirect prompt injection risk).

What this means

The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.

Why it was flagged

At runtime, the workflow uses AWS CLI/MCP calls to retrieve failure-mode findings and full finding details (including free-text fields like `name`, `description`, and especially `reasoning` from `get-failure-mode-finding`), which are outsider-authored from AWS/Resilience Hub’s generated outputs and are fed into the agent’s LLM context when the skill “present[s] findings” and “present[s] AI-generated service functions” for review.

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Repository
aws/agent-toolkit-for-aws
Audited
Security analysis
Snyk

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.