EU AI Act System Inventory
anthropics/claude-for-legal
Maintains a register of AI systems under the EU AI Act, recording each system's role and risk tier separately, because both can differ from one system to the next.
/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.
Install Caio Review
$ npx skills add alirezarezvani/claude-skills --skill caio-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install alirezarezvani/claude-skills caio-review --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/c-level-agents/skills/caio-review .claude/skills/caio-review && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "caio-review" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/c-level-agents/skills/caio-review into .claude/skills/caio-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "caio-review", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/alirezarezvani/claude-skills/tree/main/c-level-agents/skills/caio-reviewType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add alirezarezvani/claude-skills --skill caio-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install alirezarezvani/claude-skills caio-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/c-level-agents/skills/caio-review .agents/skills/caio-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "caio-review" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/c-level-agents/skills/caio-review into .agents/skills/caio-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "caio-review", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alirezarezvani/claude-skills --skill caio-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install alirezarezvani/claude-skills caio-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/c-level-agents/skills/caio-review .cursor/skills/caio-review && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "caio-review" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/c-level-agents/skills/caio-review into .cursor/skills/caio-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "caio-review", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/alirezarezvani/claude-skills.git --path c-level-agents/skills/caio-review--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add alirezarezvani/claude-skills --skill caio-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install alirezarezvani/claude-skills caio-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/c-level-agents/skills/caio-review .gemini/skills/caio-review && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "caio-review" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/c-level-agents/skills/caio-review into .gemini/skills/caio-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "caio-review", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install alirezarezvani/claude-skills caio-reviewInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add alirezarezvani/claude-skills --skill caio-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/c-level-agents/skills/caio-review .github/skills/caio-review && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "caio-review" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/c-level-agents/skills/caio-review into .github/skills/caio-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "caio-review", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alirezarezvani/claude-skills --skill caio-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install alirezarezvani/claude-skills caio-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/c-level-agents/skills/caio-review .opencode/skills/caio-review && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "caio-review" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/c-level-agents/skills/caio-review into .opencode/skills/caio-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "caio-review", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
caio-review- GitHub stars
- 28k
- Token cost
- ~1.5k tokens
- SKILL.md length
- 528 words
- Files
- 1
- Skills in repo
- 342
- Repo updated
- First seen
- Licence
- MIT
At a glance
/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.
- Works in 6 steps: What does this AI need to be good at,… → What's the SLO on hallucination / error… → What's the risk tier under EU AI Act,… → …
- Shipping an AI feature without an eval set
- SKILL.md covers When to Run, The Six CAIO Questions, Workflow and Output Format, plus 2 more sections
- Calls python
What it does
Caio Review is an agent skill from alirezarezvani/claude-skills. /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.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Legal & Compliance, covering AI governance and Legal risk assessment. The repository describes itself as: 380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8… The licence is MIT.
When your agent uses it
- Shipping an AI feature without an eval set
- Choosing between API
- Classifying a use case under the EU AI Act
Example prompts
- “/caio-review”
Requirements
- Python 3
Workflow steps
6 steps, taken from the step headings in SKILL.md.
- What does this AI need to be good at, and how would you measure it?
- What's the SLO on hallucination / error rate, and what's the fallback?
- What's the risk tier under EU AI Act, and is conformity assessment required?
- API, fine-tune, or build?
- What's the 12-month cost trajectory at expected scale?
- What role unblocks this — and have we hired prerequisites first?
What it can do on your machine
Read from SKILL.md and the folder at commit 19392f7. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Caio Review loads about 1.5k tokens when it runs. Until then it costs about 83 tokens; SKILL.md has 528 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 528 words, ~1,496 tokens.
Download SKILL.mdSave it as
.claude/skills/caio-review/SKILL.md (or your agent's skills folder).- name
- caio-review
- description
- /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.
/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"
- Detection mechanism: monitoring, sampling, customer feedback loop
- Fallback: human-in-loop review, lower-risk default response, refuse-to-answer
- Blast radius if SLO breached: how many users affected, what is the cost?
3. What's the risk tier under EU AI Act, and is conformity assessment required?
Run ai_risk_classifier.py if any EU residents are affected OR domain is regulated.
- PROHIBITED → cannot launch in EU; re-scope
- HIGH → conformity assessment + EU DB registration + 10 Articles of obligations (3-12 months, $50-200K)
- LIMITED → transparency obligations (chatbot disclosure, AI-generated content marking)
- MINIMAL → no specific obligations; NIST AI RMF voluntary
4. API, fine-tune, or build?
Run model_buildvsbuy_calculator.py for the specific use case.
- 80% of B2B SaaS use cases: API
- 15%: fine-tune (when domain-specific behavior + labeled data + ML team + high volume)
- <1%: build from scratch
- Decision must consider economic breakeven AND practical feasibility (data, team, compliance)
Show full SKILL.md (199 more words)Show less
5. What's the 12-month cost trajectory at expected scale?
Run ai_cost_economics.py for the workload.
- API: variable, scales linearly
- Self-hosted: mostly fixed, breakeven typically 1-10B tokens/month for 70B-class
- Hidden costs of self-hosted: ops, monitoring, model updates, capacity, failover, security
- Hidden costs of API: vendor lock-in, capability drift, rate limits, data residency
- Prompt caching is the most underrated lever; check provider support
6. What role unblocks this — and have we hired prerequisites first?
Map AI capability to specific role. Founders confuse AI engineer / ML engineer / research scientist.
- AI engineer: applied + full-stack + prompts + evals + deployment (most startups need this)
- ML engineer: fine-tuning + retraining infra (only after platform engineer + labeled data)
- Research scientist: model invention (only if model IS the product)
- Don't hire research scientist as first AI hire — they need infrastructure to be productive
Workflow
# 1. Model selection check
python ../../../c-level-advisor/skills/chief-ai-officer-advisor/scripts/model_buildvsbuy_calculator.py use_case.json
# 2. Regulatory classification
python ../../../c-level-advisor/skills/chief-ai-officer-advisor/scripts/ai_risk_classifier.py use_case.json
# 3. Cost projection
python ../../../c-level-advisor/skills/chief-ai-officer-advisor/scripts/ai_cost_economics.py workload.jsonOutput Format
# CAIO Review: <plan>
**Date:** YYYY-MM-DD
## The Decision Being Made
[one sentence — which CAIO decision: model selection | risk classification | economics | next hire]
## Eval Discipline
- Eval set committed: yes/no
- SLO defined: <metric> < <threshold>
- Fallback behavior: <one line>
## Model Selection (if applicable)
- Recommended: API / FINE_TUNE / BUILD
- 3-year TCO: $X (chosen path) vs $Y (alternatives)
- Breakeven: <volume>
## Risk Classification (if applicable)
- EU AI Act tier: PROHIBITED / HIGH / LIMITED / MINIMAL
- Conformity assessment required: yes/no
- US state triggers: [list]
- Required controls open: N
## Cost Economics (if applicable)
- Monthly cost at current volume: $X
- Breakeven for self-hosted migration: <volume>
- Migration cost if applicable: $X (3-6 months)
## Org (if applicable)
- Next hire: <role>
- Why this, not the alternative: <one line>
- Prerequisite hires in place: yes/no
## Verdict
🟢 SHIP | 🟡 SHARPEN | 🔴 BLOCK
## Next Steps
[3 concrete actions]Routing
/cs:cdo-review— for any training-data implications/cs:gc-review— for AI vendor contracts, output liability, training-data licensing/cs:ciso-review— for prompt injection / jailbreak / training-data poisoning threat model/cs:cfo-review— for multi-year vendor or GPU commitment TCOcs-chro-advisoragent — for AI team hires (comp, ladder, leveling)/cs:decide— log the verdict/cs:freeze 60— on multi-year AI commitments
Related
- Agent:
cs-caio-advisor - Skill:
chief-ai-officer-advisor - Adjacent:
../../../c-level-advisor/skills/chief-data-officer-advisor/(training data rights, data strategy)
Version: 1.0.0
© alirezarezvani, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in c-level-agents/skills/caio-review of alirezarezvani/claude-skills.
Open the folder on GitHubat commit 19392f7
Compare with similar skills
Caio Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Caio Review this skillalirezarezvani/claude-skills | 28k | — | ~1.5k | Automated safety check: Pass | MIT | |
| EU AI Act System Inventoryanthropics/claude-for-legal | 9.6k | 3 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Eu AI Act Readinessseb1n/awesome-ai-agent-skills | 206 | — | ~3.3k | Automated safety check: Pass | MIT | |
| Eu AI Act Specialistborghei/Claude-Skills | 891 | — | ~7k | Automated safety check: Pass | MIT | |
| Gpai Code Of Practicelawve-ai/awesome-legal-skills | 847 | — | ~4.4k | Automated safety check: Pass | Custom licence | |
| AI ML Governancecbrock84/headcount | 2k | — | ~1k | Automated safety check: Pass | MIT |
Similar skills
- Official
Eu AI Act Readiness
seb1n/awesome-ai-agent-skills
Build a preliminary, evidence-based EU AI Act readiness assessment across AI-system inventory, territorial scope, operator roles, prohibited-practice screening, risk classification, transparency…
Eu AI Act Specialist
borghei/Claude-Skills
EU AI Act (Regulation EU 2024/1689) compliance specialist. An agent skill from borghei/Claude-Skills.
Gpai Code Of Practice
lawve-ai/awesome-legal-skills
Assess compliance with the EU General-Purpose AI (GPAI) Code of Practice under the AI Act (Regulation (EU) 2024/1689).
AI ML Governance
cbrock84/headcount
Governs models and AI systems in production — intended use, evaluation, monitoring, human oversight, documentation, and the decision to deploy or retire.
AI Ethics Review
mohitagw15856/pm-claude-skills
Conduct a structured ethical review of an AI or ML feature, model, or product.
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Questions about Caio Review
What does Caio Review do?
/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 is an agent skill from alirezarezvani/claude-skills. /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.
When should I use Caio Review?
Caio Review fits situations like: shipping an AI feature without an eval set; choosing between API; classifying a use case under the EU AI Act.
How do I install Caio Review in Claude Code?
Run `npx skills add alirezarezvani/claude-skills --skill caio-review -a claude-code`. Or copy the skill folder (c-level-agents/skills/caio-review in alirezarezvani/claude-skills) into .claude/skills/caio-review in your project. Claude Code loads it when a task matches its description.
How do I install Caio Review in Codex?
Run `npx skills add alirezarezvani/claude-skills --skill caio-review -a codex`. Or copy the skill folder (c-level-agents/skills/caio-review in alirezarezvani/claude-skills) into .agents/skills/caio-review in your project. Codex loads it when a task matches its description.
Can I use Caio Review in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alirezarezvani/claude-skills --skill caio-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/caio-review, .gemini/skills/caio-review, .github/skills/caio-review and .opencode/skills/caio-review in your project.
What does Caio Review need to run?
Going by SKILL.md and its folder, Caio Review needs the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Caio Review access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Caio Review safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Caio Review use?
Caio Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Caio Review use?
About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Caio Review?
Skills that share tags, products or a category with Caio Review: EU AI Act System Inventory (anthropics/claude-for-legal, 9.6k stars), Eu AI Act Readiness (seb1n/awesome-ai-agent-skills, 206 stars), Eu AI Act Specialist (borghei/Claude-Skills, 891 stars) and Gpai Code Of Practice (lawve-ai/awesome-legal-skills, 847 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Caio Review?
alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-skills, which has 27,938 GitHub stars. The repository holds 342 skills in this directory. The repository was last updated on August 30, 2026.
Source: alirezarezvani/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.