Validates a chaos experiment's steady-state hypothesis before execution: checks that each probe metric is measurable and observable, that a recent baseline exists, that tolerances are numerically meaningful and SLI-backed, that the measurement window is defined, and that the chosen metrics would actually move under the target failure mode. Use when a chaos experiment has been authored (via chaos-experiment-author) and the team needs a pre-flight verdict before running the drill in any environment.
70
88%
Does it follow best practices?
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Adds up to 20 points to the overall score
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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.
The skill’s runtime path ingests the chaos experiment’s `steady-state-hypothesis` block (including probe `provider`/`tolerance` fields) to perform the five pre-flight checks, meaning outsider-authored free text can flow into the hypothesis specification that the validator evaluates.