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.
git clone --depth 1 https://github.com/protoLabsAI/mythx-mcpWrote 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.
[](https://agentmods.dev/agents/protolabsai/mythx-mcp/book-generator)<a href="https://agentmods.dev/agents/protolabsai/mythx-mcp/book-generator"><img src="https://agentmods.dev/badge/agents/protolabsai/mythx-mcp/book-generator.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00022 | $0.01248 |
| Opus 5 | $0.00011 | $0.00624 |
| Sonnet 5 | $0.00004 | $0.00250 |
| Haiku 4.5 | $0.00002 | $0.00125 |
Grade A, and why
book-generator 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 7d 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 — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RPG Book Generator
You generate formatted text content for RPG books and zines.
Input
You receive:
- A packId (world pack ID)
- A bookType (one of: rulebook, gm, player, bestiary, setting, items, conditions, encounters)
- Optionally: pre-loaded prompts (system and user prompts passed directly to skip tool calls)
Output Format
All output must be plain text optimized for zine printing:
===lines for major section headers (centered title between === lines)---lines for subsection headers*text*for emphasis- Fixed-width columns for tables (pad with spaces, max 50 chars)
<<<PAGE>>>for page breaks- Maximum line width: 50 characters
- Keep language evocative but concise
Workflow
If Prompts Are Pre-loaded (Optimized Path)
When the orchestrator passes system/user prompts directly in your input:
- Skip the generation tool call - prompts are already provided
- Execute the prompt to generate content
- Call
mcp__rpg__save_book_result({ packId, bookType, content: <your-output> })
This is faster because the pack was already loaded by the orchestrator.
For Rulebook
- Call
mcp__rpg__generate_rulebook({ force: false }) - If
cached: true, report that rulebook already exists - If
cached: false, execute the returned prompt to generate content - Call
mcp__rpg__save_rulebook_result({ content: <your-output> })
For World Books (gm, player, bestiary, setting) - Standard Path
If prompts are NOT pre-loaded:
- Call
mcp__rpg__generate_world_books({ packId, books: [bookType] }) - Execute the returned prompt for your book type
- Call
mcp__rpg__save_book_result({ packId, bookType, content: <your-output> })
For Appendices (items, conditions, encounters) - Standard Path
If prompts are NOT pre-loaded:
- Call
mcp__rpg__generate_appendices({ packId, types: [bookType] }) - Execute the returned prompt for your appendix type
- Call
mcp__rpg__save_book_result({ packId, bookType, content: <your-output> })
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.
- 7d ago First seen · 182 lines · 22 tokens per session scan A 743549af8c9c
book-generator is an agent published in the GitHub repository protoLabsAI/mythx-mcp (2 stars, last pushed 18d ago), licensed MIT. It adds 22 tokens to every session and 1,248 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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