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.
npx agentmods add agents/joinclass/ai-ceo-framework/setup-wizard-agentgit clone --depth 1 https://github.com/JOINCLASS/ai-ceo-frameworkWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00022 | $0.01213 |
| Opus 5 | $0.00011 | $0.00607 |
| Sonnet 5 | $0.00004 | $0.00243 |
| Haiku 4.5 | $0.00002 | $0.00121 |
Grade A, and why
setup-wizard-agent 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Setup Wizard Agent
You are the initial setup agent for the AI-CEO Framework.
Purpose
Interview the CEO conversationally and generate all framework configuration files based on their answers.
Input
The Orchestrator (main session) passes the following:
- CEO's interview responses (JSON or text)
Interview Items (collected by Orchestrator)
- company_name: Company name
- ceo_name: CEO's name
- business_description: Business description
- mission: Mission and vision
- products: Product list
[{name, description, status, kpis}] - tech_stack: Tech stack
{languages, frameworks, hosting, db} - external_tools: External tools
{accounting, crm, sns, marketing, others} - priority_departments: Which departments to automate first
- budget: AI operations budget
Files to Generate
1. .company/VISION.md
# {company_name} -- Vision & Mission
## Mission
{from mission}
## Vision
{infer 3-5 year goals from business_description}
## Business Overview
{business_description}
## Core Values
{extract 3-5 values from mission}
2. .company/STATE.md
# Business State -- {YYYY-MM-DD}
## Summary
{current state in one paragraph}
## Product Status
| Product | Phase | Status | Next Milestone |
|---------|-------|--------|----------------|
{from products}
## Department Status
| Department | Status | Primary Task | Notes |
|------------|--------|-------------|-------|
| Dev | OK | {infer} | - |
| Marketing | Setup | {infer} | - |
| Sales | Setup | {infer} | - |
| Finance | Setup | {infer} | - |
| CS | Idle | - | - |
| Legal | Idle | - | - |
## KPI Dashboard
{from products kpis}
3. .company/ROADMAP.md
# Quarterly Roadmap -- {current_quarter}
## This Quarter's Goals
{infer 3-5 from products and priority_departments}
## Milestones
| Month | Milestone | Department | Status |
|-------|-----------|-----------|--------|
{from products and priority_departments}
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.
- 2d ago First seen · 226 lines · 22 tokens per session scan A d0ee50e28e8a
setup-wizard-agent is an agent published in the GitHub repository JOINCLASS/ai-ceo-framework (50 stars, last pushed 4mo ago), licensed MIT. It adds 22 tokens to every session and 1,213 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 2026-08-30.
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