Caio Review
/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.
Before & after
Same prompt, same agent — the only difference is the skill.
That's an important decision. Using an AI API for moderation involves thinking about accuracy, latency, cost, and regulatory compliance. You'll want to consider whether a fine-tuned model might be better than API calls, what your tolerance is for false positives versus false negatives, and how that affects user experience. Budget-wise, API costs can add up quickly at scale. I'd also recommend thinking about GDPR, data retention, and whether you're meeting any industry-specific compliance requirements. Before making a final choice, you should probably evaluate how different approaches perform on representative content. What volume of content are you moderating per day?
CHIEF AI OFFICER EVAL — CONTENT MODERATION RISK CLASSIFICATION: Medium-to-High (user-generated content, regulatory touch) COST ANALYSIS: Benchmark: 1M content moderation decisions/month • Claude API: 0.3¢ per decision = $3,000/month + latency overhead • Fine-tuned GPT: $2,500 setup + $500/month = faster inference • Human baseline: 5 moderators at $40k/year = $200k/year EVAL SET REQUIRED: Minimum 200 test samples: 50 hate speech, 50 spam, 50 on-brand, 50 edge cases. Test API once, fine-tune on 20 samples, re-test. Accuracy gap acceptance: 2-4% vs human baseline is reasonable; over 6% triggers escalation protocol. COMPLIANCE CHECKPOINTS: • GDPR: API logs retention policy (claude.ai logs moderated content 30 days) • Appeal mechanism: flagged content reviewable by human within 24hr • Transparency: user notices when content removed via AI; link to policy RECOMMENDATION: API + human escalation queue. Start with 5% human review; scale to 10% if false positive rate exceeds 8%. This is illustrative; not legal or compliance advice.
About this skill
name: caio-review description: Use when /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.
Caio Review
/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.
What you get
- Public GitHub repo (alirezarezvani/claude-skills)
- the caio-review skill folder with SKILL.md. Part of a 337-skill / 30-agent / 70-command install.
Customize your output
- Fork the repo and adapt the skill's instructions and references to your workflow.
Example output
Activates automatically when your request matches Caio Review; chains with the other skills, agents, and commands in the collection.
Best for
Creators, builders, and teams using Claude Code.
SKILL.md preview
---
name: caio-review
description: Use when reviewing a plan that involves AI, such as model selection, risk classification, cost economics, or AI hiring, and it needs eval-demanding Chief AI Officer scrutiny before it proceeds.
version: 1.0.0
category: Business & Ops / Executive Advisory
author: AgentVolt
license: proprietary
tags:
- business-ops
- executive-advisory
---
# Caio Review
Runs an eval-demanding Chief AI Officer interrogation of any plan involving AI, model selection, risk classification, cost economics, or AI hiring, refusing to let a plan pass without evidence.
## When to use
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