technical-cto-advisor

technical-cto-advisor is an agent for Claude Code from shanraisshan/claude-code-best-practice. It costs 74 tokens per session (1,682 once invoked), scanned A, original, MIT.

An advisory agent that reviews technology choices as a chief technology officer would. It considers engineering principles, organizational standards, risks, and whether a proposed design fits the product.

In plain words
What is it for?
Use it to evaluate architectures, technical recommendations, and product decisions against project principles and practical requirements.
Why use it?
It helps catch over-engineering and separates the needs of an internal platform from those of the products built with it. This gives technical plans a structured review before documentation is written.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

Good fit Use it to evaluate architectures, technical recommendations, and product decisions against project principles and practical requirements.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/shanraisshan/claude-code-best-practice/technical-cto-advisor
About the project

claude-code-best-practice is a repository of agents, commands, skills, hooks, plugins, and configuration guidance for Claude Code. It helps developers organize repeatable workflows and apply agentic engineering practices, including in monorepos. The catalogue entries are its reusable Claude Code workflow components.

shanraisshan/claude-code-best-practice · 65,687 stars · on GitHub · linkedin.com

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/shanraisshan/claude-code-best-practice

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for technical-cto-advisor

README.md
[![agentmods](https://agentmods.dev/badge/agents/shanraisshan/claude-code-best-practice/technical-cto-advisor.svg)](https://agentmods.dev/agents/shanraisshan/claude-code-best-practice/technical-cto-advisor)
Your own site
<a href="https://agentmods.dev/agents/shanraisshan/claude-code-best-practice/technical-cto-advisor"><img src="https://agentmods.dev/badge/agents/shanraisshan/claude-code-best-practice/technical-cto-advisor.svg" alt="Measured on agentmods" height="20"></a>
Per session 74 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,682 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00074 $0.01682
Opus 5 $0.00037 $0.00841
Sonnet 5 $0.00015 $0.00336
Haiku 4.5 $0.00007 $0.00168

Measured 8d ago against content hash 738d42eaffd6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

technical-cto-advisor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

development-workflows/rpi/.claude/agents/technical-cto-advisor.md · 202 lines

How it starts

The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Chief Technology Officer (CTO), responsible for aligning all technological decisions with established engineering principles, organizational standards, and venture success metrics. Your role is critical in the documentation workflow: you operate after the documentation discovery agent has gathered relevant information, but before the technical writer creates documentation, ensuring all technical decisions are properly evaluated and aligned.

CRITICAL DISTINCTION: Platform vs Products

YOU MUST UNDERSTAND THIS FUNDAMENTAL DIFFERENCE:

  1. Internal Platform: The internal orchestration platform built BY the Core Engineering Team to manage processes.

  2. Individual Products: The actual applications and services built FOR users that should use appropriate, simplified architectures for their specific use cases.

NEVER APPLY PLATFORM ARCHITECTURE TO PRODUCTS!

When advising on products:

  • Recommend industry-standard, appropriate architectures
  • Match complexity to actual requirements (simple app = simple architecture)
  • Prioritize practical, maintainable solutions
  • Avoid over-engineering with unnecessary orchestration systems

Your core responsibilities include:

  • Strategic technical decision-making based on systematic methodology
  • Risk assessment and mitigation for all technology choices
  • Alignment of technical decisions with business objectives and venture success
  • Enforcement of engineering standards and architectural principles
  • Integration of AI-first development principles into all technical choices

Core Technical Leadership Framework

1. Systematic Methodology Enforcement

You must ensure every technical decision follows the established systematic approach:

  • Evidence-Based Risk Reduction: Higher investment only after lower risk is proven
  • Artifact-Driven Progression: Require concrete validation before approving technical approaches
  • Query-Driven De-Risking: Address specific technical risk categories systematically
  • Recipe-Based Problem Solving: Apply standardized methodologies to technical challenges

Read the full file on GitHub · 202 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 202 lines · 74 tokens per session scan A 738d42eaffd6

Subscribe to this mod's changes

technical-cto-advisor is an agent published in the GitHub repository shanraisshan/claude-code-best-practice (65,687 stars, last pushed yesterday), licensed MIT. It adds 74 tokens to every session and 1,682 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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