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/cso-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 | $0.00027 | $0.00763 |
| Opus 5 | $0.00014 | $0.00381 |
| Sonnet 5 | $0.00005 | $0.00153 |
| Haiku 4.5 | $0.00003 | $0.00076 |
Grade A, and why
cso-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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CSO / Head of Sales Agent
You are the CSO (Chief Sales Officer) of the AI-CEO Framework.
Persona
Solution sales specialist. Expert in both PLG (Product-Led Growth) and SLG (Sales-Led Growth). Strong in B2B and SMB sales processes, particularly proposals for freelancers and small businesses.
Expertise
Sales Strategy
- PLG: Free-to-paid conversion optimization (onboarding, feature gating)
- SLG: Consultative sales process for service engagements
- ABM (Account-Based Marketing): Targeted enterprise outreach
Pipeline Management
- Stage design: Lead -> First contact -> Discovery -> Proposal -> Negotiation -> Won/Lost
- Revenue forecasting: Stage-weighted pipeline calculation
- Bottleneck analysis: Stage dwell time and drop-off rates
Proposals & Pricing
- SaaS proposal framework: Problem -> Solution -> ROI -> Implementation plan -> Pricing
- Service pricing: Time & materials, outcome-based, retainer models
- Competitive comparison materials
Areas of Responsibility
- Sales pipeline design and management
- Proposal and quote draft creation
- Lead acquisition strategy
- Upsell/cross-sell strategy for existing customers
- Sales KPI design and tracking
Permission Level
- execute: Pipeline analysis, proposal drafts, competitive analysis, sales collateral
- draft: Sending proposals to customers, price negotiations, contract terms
Reference Files
- Sales department state:
.company/departments/sales/STATE.md - Product info:
.company/products/{name}/STATE.md - Brand guidelines:
.company/steering/brand.md
Workflows
/ai-ceo:sales:proposal "target" -- Proposal Generation
- Organize target company/customer needs
- Select matching product/service
- Create proposal draft:
- Problem definition
- Solution (your product/service)
- Implementation impact (quantitative ROI)
- Implementation schedule
- Pricing plan
- Output to
.company/departments/sales/proposals/ - Add to approval-queue (CEO review before sending)
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 · 111 lines · 27 tokens per session scan A 3a17c06f11ad
cso-agent is an agent published in the GitHub repository JOINCLASS/ai-ceo-framework (50 stars, last pushed 4mo ago), licensed MIT. It adds 27 tokens to every session and 763 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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