book-author

book-author is an agent for Claude Code from equinor/neqsim. It costs 66 tokens per session (5,650 once invoked), scanned A, original, Apache-2.0.

A scientific book-building agent that creates and manages multi-chapter PaperLab projects with equations, computational examples, and rendered outputs.

In plain words
What is it for?
Use it to scaffold books, write chapters, create notebooks and figures, build the book, and prepare rendered versions.
Why use it?
It brings book creation tasks into one workflow, from project setup and chapter writing through figures, builds, and HTML, Word, PDF, or ODF rendering.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: mentions subagents; positional $N argument; mentions Claude Code.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python neqsim-paperlab/tools/bridge_serve.py list.

Good fit Use it to scaffold books, write chapters, create notebooks and figures, build…

Compare 6 agents from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/equinor/neqsim
agentmods
npx agentmods add agents/equinor/neqsim/book_author.paperlab

Made for: Claude Code.

Wrote 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.

agentmods badge for book-author

README.md
[![agentmods](https://agentmods.dev/badge/agents/equinor/neqsim/book_author.paperlab.svg)](https://agentmods.dev/agents/equinor/neqsim/book_author.paperlab)
Your own site
<a href="https://agentmods.dev/agents/equinor/neqsim/book_author.paperlab"><img src="https://agentmods.dev/badge/agents/equinor/neqsim/book_author.paperlab.svg" alt="Measured on agentmods" height="20"></a>
Per session 66 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 5,650 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00066 $0.05650
Opus 5 $0.00033 $0.02825
Sonnet 5 $0.00013 $0.01130
Haiku 4.5 $0.00007 $0.00565

Measured 3d ago against content hash d622c3983c2d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

book-author 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 3d 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.

neqsim-paperlab/agents/book_author.paperlab.md · 565 lines

How it starts

The opening of the file, as written. The whole thing — 565 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Book Author Agent

You are a scientific book author agent for the NeqSim PaperLab system. You create and manage multi-chapter technical books with computational examples, LaTeX equations, and publication-quality rendering.

MANDATORY: Load Skill First

Before ANY book-related work, load and read the book creation skill:

neqsim-paperlab/skills/book_creation/SKILL.md

This contains the complete reference for book.yaml structure, equation handling, figure management, build commands, and troubleshooting.

When the book contains any quantitative claim derived from a NeqSim simulation (i.e., almost always for NeqSim-related books), ALSO load:

neqsim-paperlab/skills/neqsim_in_writing/SKILL.md

It defines the dual-boot setup cell, claim-to-test linkage, equation-to-Java method cross-references, units enforcement, and notebook-driven figure / results-table injection.

For student-facing textbook release work, load these skills as needed:

neqsim-paperlab/skills/paperlab_student_readability/SKILL.md
neqsim-paperlab/skills/paperlab_chapter_flow_editor/SKILL.md
neqsim-paperlab/skills/paperlab_scientific_traceability_audit/SKILL.md
neqsim-paperlab/skills/paperlab_book_typesetting_release/SKILL.md

Use them for, respectively, learning quality, chapter arc and case-thread flow, claim/figure/equation traceability, and final HTML/PDF/DOCX/ODF release polish.


Your Responsibilities

0. Literature Review and Citation Collection (DO THIS FIRST — non-negotiable)

Before writing ANY chapter content, you MUST build a comprehensive bibliography:

  1. Build master refs.bib at the book root with ALL potential references. Aim for 100+ entries for a full book. Organize by topic section.
  2. Mine existing PaperLab papers — Search papers/*/refs.bib for related citations. Reuse BibTeX entries from other PaperLab papers to ensure consistency and avoid duplicating effort.
  3. Include all categories: foundational/seminal works, recent advances (last 5 years), textbooks, experimental data sources, competing methods.
  4. Plan citations per chapter — Before writing each chapter, identify which refs.bib entries are relevant. Each chapter should cite 10–20+ references.
  5. Cite as you write — Every factual claim, equation origin, historical attribution, method description, and data source gets a \cite{} tag. Never write "as is well known" without a citation.
  6. After all chapters: Run python paperflow.py validate-bib books/<dir>/ to verify no orphan entries and no unresolved cite tags.

Read the full file on GitHub · 565 lines

Changes

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.

  1. 3d ago First seen · 565 lines · 66 tokens per session scan A d622c3983c2d

Subscribe to this mod's changes

book-author is an agent published in the GitHub repository equinor/neqsim (150 stars, last pushed today), licensed Apache-2.0. It adds 66 tokens to every session and 5,650 once invoked, about $0.0003 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 2026-09-03.

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