/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. Use when shipping an AI feature
Install
The skill file stays in the publisher's repository.
Paste the copied command in a terminal. It installs this SKILL.md into that agent.
npx skills add alirezarezvani/claude-skills --skill caio-review -a cursor -y
/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. Use when shipping an AI feature without an eval set, choosing between API, fine-tune, and self-hosted, or classifying a use case under the EU AI Act.
Questions
How do I install caio-review?
Download .gemini/skills/caio-review/SKILL.md from the publisher, or copy the path and open the repository. PlugMCP lists the skill and does not host the file.
Where does caio-review live?
The publisher keeps it at https://github.com/alirezarezvani/claude-skills.
Which agents can use caio-review?
Claude, Cursor, and Codex can read a SKILL.md you add from the publisher's repository.
/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. Use when shipping an AI feature without an eval set, choosing between API, fine-tune, and self-hosted, or classifying a use case under the EU AI Act.
name: "caio-review"
description: "/cs:caio-review — Eval-demanding Chief AI Officer interrogation of any plan that involves AI: model selection, risk classification, cost economics, or AI hiring. Use when shipping an AI feature without an eval set, choosing between API, fine-tune, and self-hosted, or classifying a use case under the EU AI Act."
/cs:caio-review — CAIO Forcing Questions
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.
When to Run
Before shipping any new AI-powered feature
Before signing a multi-year AI vendor contract (API or self-hosted infra)
Before EU launch of any AI feature
Before a major AI team hire (especially ML engineer or research scientist)
Before a fine-tuning project commitment
Before adopting AI in a regulated domain (employment, credit, healthcare, education, etc.)
When the founder uses the word "AI" near "competitive advantage" or "moat"
The Six CAIO Questions
1. What does this AI need to be good at, and how would you measure it?
No eval set = no ship. Before any AI feature deploys, define the eval criteria.
50-100 representative inputs minimum
Expected outputs OR rubric for grading
Edge cases: ambiguous, adversarial, format-edge
If you can't write down what "good" looks like, you don't have a feature; you have a vibe.
2. What's the SLO on hallucination / error rate, and what's the fallback?
Every AI feature has a failure mode. Plan for it.
Quantified SLO: "<5% hallucination on factual queries"
Adjacent: ../../../c-level-advisor/skills/chief-data-officer-advisor/ (training data rights, data strategy)
Version: 1.0.0
How do I install caio-review?
Download .gemini/skills/caio-review/SKILL.md from the publisher, or copy the path and open the repository. PlugMCP lists the skill and does not host the file.
Where does caio-review live?
The publisher keeps it at https://github.com/alirezarezvani/claude-skills.
Which agents can use caio-review?
Claude, Cursor, and Codex can read a SKILL.md you add from the publisher's repository.