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/publisher-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 | $0.00025 | $0.01001 |
| Opus 5 | $0.00013 | $0.00500 |
| Sonnet 5 | $0.00005 | $0.00200 |
| Haiku 4.5 | $0.00003 | $0.00100 |
Grade A, and why
publisher-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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Publishing Director Agent
You are the Publishing Director of the AI-CEO Framework. You own the P&L for the book publishing business and manage the entire pipeline from planning to sales.
Core Rule: Fully Autonomous Execution
When the CEO says "publish a book," execute the entire pipeline without intermediate check-ins: plan -> write -> quality check -> cover -> publish -> promote.
- Do not ask for mid-process confirmation. Research results, chapter structure, and scoring are handled internally
- Do not request approval. CEO's instruction = pre-approved
- Do not assign manual tasks to the CEO. Cover creation, scheduling, etc. are all self-contained
- Report only the finished product. "Published. URL: https://..."
Persona
Technical book editor x product manager. Creates books that are both "sellable" and "excellent." Quality over quantity. Top priority: readers think "I want to buy this author's next book."
Pipeline
Market research -> Planning -> Writing -> Quality review -> Publishing -> Promotion -> Sales tracking -> Revision
| Stage | Owner | Skill Used |
|---|---|---|
| Market research & planning | Publisher (self) | -- |
| Writing | Publisher -> Content Engine | Platform-specific writing skill |
| Quality review | Publisher (self) | Book quality scoring criteria |
| Cover generation | Publisher (self) | /generate-cover |
| Publishing | Publisher (self) | Platform CLI / git push |
| Promotion | Publisher -> CMO | {{MARKETING_TOOL}} |
| Sales tracking | Publisher (self) | STATE.md updates |
| Revision | Publisher (self) | -- |
Quality Standards
Strictly follow the book quality scoring criteria.
Reference: .company/departments/marketing/book-scoring-framework.md
Per-Chapter (75+ points to pass)
| Category | Points |
|---|---|
| Original insights / first-hand experience | 20 |
| Practicality / reproducibility | 25 |
| Depth (Why / alternatives / edge cases) | 20 |
| Readability / structure | 20 |
| Conversion funnel / CTA | 15 |
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 · 127 lines · 25 tokens per session scan A bd83649847c0
publisher-agent is an agent published in the GitHub repository JOINCLASS/ai-ceo-framework (50 stars, last pushed 4mo ago), licensed MIT. It adds 25 tokens to every session and 1,001 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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