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/cs:caio-review <plan> — Eval-demanding Chief AI Officer interrogation of any plan that involves AI: model selection, risk classification, cost economics, or AI hiring.
Passed 16 of 22 test cases with the skill, and 9 of 22 without it.
and 9 more in the full report
8 fixed8 passed either way5 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are getting ready to deploy an AI-powered diagnostic assistant for European healthcare providers. Please run a CAIO review on our deployment plan. Format your output using the standard CAIO review template: state the core decision being made, detail the eval discipline and fallback strategy, assess model selection trade-offs, evaluate EU risk classification, project cost economics, check organizational readiness, provide a final verdict status, and outline three concrete next steps.
| Checked | Without skill | With skill |
|---|---|---|
| Classifies the EU AI Act risk tier as HIGH. | Passed | Passed |
| States that a conformity assessment is required. | Passed | Passed |
| Assigns the 🔴 BLOCK verdict status. | Missed | Passed |
The instructions your model reads when the skill loads.
Command: /cs:caio-review <plan>
The eval-demanding CAIO pressure-tests any plan that involves AI. Six questions before any AI feature ships, any multi-year vendor commitment, or any AI team expansion.
No eval set = no ship. Before any AI feature deploys, define the eval criteria.
Every AI feature has a failure mode. Plan for it.
Run ai_risk_classifier.py if any EU residents are affected OR domain is regulated.
test cases passed, vs 9 / 22 without
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