section-writing-agent

section-writing-agent is a skill for Claude Code, Codex from raja21068/AutoResearch. It costs 125 tokens per session (2,695 once invoked), scanned A, a copy of section-writing-agent, MIT.

A research-paper writing step that uses one multimodal language-model call to draft the abstract, methods, experiments, and conclusion. It also turns experiment data into LaTeX tables, adds generated figures, and combines the sections into a manuscript.

In plain words
What is it for?
Use it after the earlier PaperOrchestra steps have prepared an outline, source materials, figures, citations, and a partially written LaTeX paper.
Why use it?
It brings the remaining paper sections, experiment results, figures, citations, and formatting rules together in one consistent document.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python skills/paper-orchestra/scripts/anti_leakage_check.py \.

Good fit Use it after the earlier PaperOrchestra steps have prepared an outline, source materials, figures, citations, and a partially written LaTeX paper.

Compare 6 skills 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/raja21068/AutoResearch
agentmods
npx agentmods add skills/raja21068/autoresearch/section-writing-agent

Made for: Claude Code, Codex.

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 section-writing-agent

README.md
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Your own site · 80×15
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Per session 125 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,695 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 100% copy Near-identical to another mod 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 $0.00125 $0.02695
Opus 5 $0.00063 $0.01347
Sonnet 5 $0.00025 $0.00539
Haiku 4.5 $0.00013 $0.00269

Measured 5d ago against content hash f98b19734962, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

section-writing-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 5d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/extract_metrics.py, scripts/latex_sanity.py, scripts/orphan_cite_gate.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

100% identical to section-writing-agent — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/paper-pipeline/section-writing-agent/SKILL.md · 232 lines

How it starts

The opening of the file, as written. The whole thing — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Section Writing Agent (Step 4)

Faithful implementation of the Section Writing Agent from PaperOrchestra (Song et al., 2026, arXiv:2604.05018, §4 Step 4, App. F.1 pp. 47–49).

Cost: ONE LLM call (App. B: "Section Writing Agent (1 call): A single, comprehensive multimodal call to draft and compile the complete LaTeX manuscript"). Do NOT split this into per-section calls — the paper explicitly designs it as one comprehensive call so the model can maintain global coherence across sections.

Inputs

  • workspace/outline.json — the master plan
  • workspace/inputs/idea.md — technical details
  • workspace/inputs/experimental_log.md — raw data for tables and qualitative analysis
  • workspace/drafts/intro_relwork.tex — the template with Intro + Related Work already filled in by Step 3. This is your starting point. The preamble, package list, style, and the two pre-filled sections must be preserved verbatim.
  • workspace/citation_pool.json — the citation map ({key, title, abstract} for each verified paper)
  • workspace/refs.bib — the BibTeX file
  • workspace/inputs/conference_guidelines.md — formatting rules
  • workspace/figures/ — the actual PNG files from Step 2 (used as multimodal vision input!)
  • workspace/figures/captions.json — caption text per figure_id
  • workspace/tex_profile.json — TeX package availability flags (written by check_tex_packages.py at Step 0). Read this before generating any LaTeX. It tells you which packages are installed so you select the right cross-reference pattern, font packages, etc. before you write — not after you try to compile.

Output

  • workspace/drafts/paper.tex — the complete LaTeX paper, with all sections filled. The Step 5 Refinement Agent will iterate on this file.

How to do it

0.5. Read tex_profile.json and select LaTeX patterns

Before composing the prompt, read workspace/tex_profile.json and apply these rules to every LaTeX choice in the generated paper:

Profile flag True → use False → use instead
use_cleveref \cref{fig:X}, \cref{tab:Y} Figure~\ref{fig:X}, Table~\ref{tab:Y}
use_nicefrac \nicefrac{a}{b} $a/b$
use_microtype \usepackage{microtype} omit the line
use_t1_fontenc \usepackage[T1]{fontenc} omit the line

Read the full file on GitHub · 232 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 5d ago First seen · 232 lines · 125 tokens per session scan A f98b19734962

Subscribe to this mod's changes

section-writing-agent is a skill published in the GitHub repository raja21068/AutoResearch (2 stars, last pushed 3mo ago), licensed MIT. It adds 125 tokens to every session and 2,695 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to section-writing-agent, differing in 0 lines, and is treated as a copy.

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