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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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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.
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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