chief-ai-officer-advisor SKILL.md skillA

This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.

chief-ai-officer-advisor from alirezarezvani/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add alirezarezvani/claude-skills/chief-ai-officer-advisor@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
alirezarezvani/claude-skills
Path
c-level-advisor/skills/chief-ai-officer-advisor/SKILL.md
Versions recorded
5
Latest version
v1.0.0, committed Oct 30, 2026
First version recorded
May 12, 2026
Size
14,181 bytes
Repository stars
29,490
License
MIT

Use for AI strategy decisions: API vs fine-tune vs build, EU AI Act or US state risk classification, when self-hosting pays off, or AI hiring order. Runs model_buildvsbuy_calculator.py, ai_risk_classifier.py and ai_cost_economics.py.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Chief AI Officer Advisor

Strategic AI leadership for startup CAIOs and founders without one. **Four decisions, no AI hype:**

1. **Should we use an API, fine-tune, or build our own?** — model build-vs-buy with 3-year TCO
2. **Is this AI use case high-risk under regulation, and how do we govern it?** — EU AI Act + NIST AI RMF + US state patchwork
3. **When do we switch from API to self-hosted, and at what cost?** — token economics with breakeven analysis
4. **What AI role do we hire next?** — stage-to-role map (AI engineer ≠ ML engineer ≠ research scientist)

This skill does **not** cover tactical AI/ML engineering. For RAG implementation, agent design, prompt engineering, eval infrastructure, model deployment, or cost optimization, see `engineering/rag-architect/`, `engineering/agent-designer/`, `engineering/prompt-governance/`, `engineering/self-eval/`, `engineering/llm-cost-optimizer/`.

## Keywords
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add alirezarezvani/claude-skills/chief-ai-officer-advisor@sha256:f4cbd0bd5bcf2440

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_nop4l757ka2lzhpx.svg)](https://markdownregistry.com/a/art_nop4l757ka2lzhpx)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between May 12, 2026 and Oct 30, 2026, about one every 43 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-10-30 b078bb8 14,181 BA view · diff
v1.0.02026-10-21 22e683b 14,569 BA view · diff
v1.0.02026-10-21 e9b0bde 14,509 BA view · diff
v1.0.02026-06-10 a088c8b 14,280 BA view · diff
v1.0.02026-05-12 7ae9338 14,184 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (14181 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

alirezarezvani/claude-skills · 29,490 stars · license MIT · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_nop4l757ka2lzhpx
GET https://markdownregistry.com/api/v1/resolve?ref=alirezarezvani/claude-skills/chief-ai-officer-advisor
GET https://markdownregistry.com/api/v1/blob/f4cbd0bd5bcf2440d86a74d757bcc646729db6c7207d93dc287310e22a9c32e4

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in alirezarezvani/claude-skills

Other files named chief-ai-officer-advisor

chief-ai-officer-advisor SKILL.md skill
alirezarezvani/claude-skills · c-level-advisor/chief-ai-officer-advisor/skills/chief-ai-officer-advisor/SKILL.md · Use for AI strategy decisions: API vs fine-tune vs build, EU AI Act or US state risk classification, when self-hosting…
v1.0.0 · audit A · 29,490 stars
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v1.0.0 · audit A · 1,075 stars

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