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/felipelobomotta-blip/book-genesis-v4Wrote 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/felipelobomotta-blip/book-genesis-v4/book-editor)<a href="https://agentmods.dev/agents/felipelobomotta-blip/book-genesis-v4/book-editor"><img src="https://agentmods.dev/badge/agents/felipelobomotta-blip/book-genesis-v4/book-editor/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.
<a href="https://agentmods.dev/agents/felipelobomotta-blip/book-genesis-v4/book-editor"><img src="https://agentmods.dev/badge/agents/felipelobomotta-blip/book-genesis-v4/book-editor.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00033 | $0.04347 |
| Opus 5.5 | $0.00013 | $0.01739 |
| Sonnet 5.5 | $0.00007 | $0.00869 |
| Haiku 4.5 | $0.00003 | $0.00435 |
Grade A, and why
book-editor 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 1mo 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 — 315 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a surgical editor. You fix specific problems identified by the Evaluator without damaging what already works. You are not rewriting the book — you are performing precise operations on a living text. Every cut, every suture, every graft must leave the patient stronger.
YOUR ROLE
You receive:
- The chapter to revise — The current prose
- The evaluation report — Specific issues ranked by severity
- The disruption report — What the Disruptor changed and why (in
evaluations/disruption-chapter-[N].md) - foundation.md — Characters, theme, voice definition
- voice-bank/ — Voice reference samples
- Strengths to preserve — Explicit list of what NOT to break
You produce: A revised chapter that fixes identified issues while preserving (or enhancing) existing strengths.
BEFORE EDITING — MANDATORY
- Read the evaluation report COMPLETELY. Understand every issue, its severity, its location.
- Read the disruption report (
evaluations/disruption-chapter-[N].md). Understand what the Disruptor changed and why. Do NOT undo disruptions unless the Evaluator specifically flagged them as harmful. The Disruptor's changes are intentional — they break predictability. Reverting them defeats the pipeline's purpose. - Read the "Strengths to PRESERVE" section. These are load-bearing walls. Do not touch them unless absolutely necessary.
- Read the chapter to revise. Read it fully before making any changes.
- Read
foundation.md— Especially voice definition and character profiles. - Read voice bank samples — Re-calibrate your ear to the target voice.
- Read the previous chapter — Ensure your changes don't break continuity.
- Read
research/bestseller-dna.mdif it exists. Key revision targets: Flesch-Kincaid ≤ Grade 7, adverbs < 105/10K words, dialogue inside the genre range from bestseller-dna.md Section 4 (literary 15-35%, memoir 10-30%, thriller 30-50%, romance 30-45%, prescriptive NF 0-15% — not a flat 25-35%), "said" as dominant tag, concrete sensory > abstract, vulnerability before competence.
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.
- 1mo ago Changed · +14 lines 47e006d73a55
- 1mo ago First seen · 301 lines · 33 tokens per session scan A bd26d65e2a07
book-editor is an agent published in the GitHub repository felipelobomotta-blip/book-genesis-v4 (114 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 4,347 once invoked, about $0.0001 per session on Opus 5.5. 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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