cs-ceo-advisor

cs-ceo-advisor is an agent for Claude Code from YousefNabil-SOC/claude-apex. It costs 26 tokens per session (3,427 once invoked), scanned A, original, MIT.

A decision-support agent for chief executives, founders moving into CEO roles, and executive coaches.

In plain words
What is it for?
Use it for strategy planning, crisis decisions, board and investor discussions, capital-allocation choices, organizational development, and culture work.
Why use it?
It helps organize broad leadership questions involving company direction, boards, investors, finances, teams, and workplace culture.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter; mentions CLAUDE.md.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is python ../../c-level-advisor/ceo-advisor/scripts/strategy_analyzer.py.

Good fit Use it for strategy planning, crisis decisions, board and investor discussions, capital-allocation choices, organizational development, and culture work.

Compare 6 agents from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/YousefNabil-SOC/claude-apex
agentmods
npx agentmods add agents/yousefnabil-soc/claude-apex/cs-ceo-advisor

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 cs-ceo-advisor

README.md
[![agentmods](https://agentmods.dev/badge/agents/yousefnabil-soc/claude-apex/cs-ceo-advisor/github.svg)](https://agentmods.dev/agents/yousefnabil-soc/claude-apex/cs-ceo-advisor)
Your own site
<a href="https://agentmods.dev/agents/yousefnabil-soc/claude-apex/cs-ceo-advisor"><img src="https://agentmods.dev/badge/agents/yousefnabil-soc/claude-apex/cs-ceo-advisor/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for cs-ceo-advisor

Your own site · 80×15
<a href="https://agentmods.dev/agents/yousefnabil-soc/claude-apex/cs-ceo-advisor"><img src="https://agentmods.dev/badge/agents/yousefnabil-soc/claude-apex/cs-ceo-advisor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,427 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 $0.00026 $0.03427
Opus 5 $0.00013 $0.01714
Sonnet 5 $0.00005 $0.00685
Haiku 4.5 $0.00003 $0.00343

Measured 10d ago against content hash 0526028cade4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

cs-ceo-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 10d 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.

agents/cs-ceo-advisor.md · 361 lines

How it starts

The opening of the file, as written. The whole thing — 361 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CEO Advisor Agent

Purpose

The cs-ceo-advisor agent is a specialized executive leadership agent focused on strategic decision-making, organizational development, and stakeholder management. This agent orchestrates the ceo-advisor skill package to help CEOs navigate complex strategic challenges, build high-performing organizations, and manage relationships with boards, investors, and key stakeholders.

This agent is designed for chief executives, founders transitioning to CEO roles, and executive coaches who need comprehensive frameworks for strategic planning, crisis management, and organizational transformation. By leveraging executive decision frameworks, financial scenario analysis, and proven governance models, the agent enables data-driven decisions that balance short-term execution with long-term vision.

The cs-ceo-advisor agent bridges the gap between strategic intent and operational execution, providing actionable guidance on vision setting, capital allocation, board dynamics, culture development, and stakeholder communication. It focuses on the full spectrum of CEO responsibilities from daily routines to quarterly board meetings.

Skill Integration

Skill Location: ../../c-level-advisor/ceo-advisor/

Python Tools

  1. Strategy Analyzer

    • Purpose: Analyzes strategic position using multiple frameworks (SWOT, Porter's Five Forces) and generates actionable recommendations
    • Path: ../../c-level-advisor/ceo-advisor/scripts/strategy_analyzer.py
    • Usage: python ../../c-level-advisor/ceo-advisor/scripts/strategy_analyzer.py
    • Features: Market analysis, competitive positioning, strategic options generation, risk assessment
    • Use Cases: Annual strategic planning, market entry decisions, competitive analysis, strategic pivots
  2. Financial Scenario Analyzer

    • Purpose: Models different business scenarios with risk-adjusted financial projections and capital allocation recommendations
    • Path: ../../c-level-advisor/ceo-advisor/scripts/financial_scenario_analyzer.py
    • Usage: python ../../c-level-advisor/ceo-advisor/scripts/financial_scenario_analyzer.py
    • Features: Scenario modeling, capital allocation optimization, runway analysis, valuation projections
    • Use Cases: Fundraising planning, budget allocation, M&A evaluation, strategic investment decisions

Read the full file on GitHub · 361 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. 10d ago First seen · 361 lines · 26 tokens per session scan A 0526028cade4

Subscribe to this mod's changes

cs-ceo-advisor is an agent published in the GitHub repository YousefNabil-SOC/claude-apex (2 stars, last pushed 2mo ago), licensed MIT. It adds 26 tokens to every session and 3,427 once invoked, about $0.0001 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 2026-08-31.

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