draft_writer_agent

draft_writer_agent is an agent for Claude Code from Masqiller/ARG-RESEARCHER-V4.1. It costs 20 tokens per session (7,090 once invoked), scanned A, a copy of draft_writer_agent, MIT.

An academic writing agent that drafts a complete research paper section by section from a prepared outline and argument plan. It integrates citations and follows the paper's required academic style.

In plain words
What is it for?
Use it to write an initial paper draft or revise it after feedback, while maintaining consistent tone and tracking the planned word allocation.
Why use it?
It gives the drafting process a clear structure and keeps the writing aligned with the planned argument, evidence, section lengths, and revisions.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Codex.

Part of the ARG-Researcher plugin — 4 skills, 11 commands, 34 agents, 1 hook shipped together

Good fit Use it to write an initial paper draft or revise it after feedback, while maintaining consistent tone and tracking the planned word allocation.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/masqiller/arg-researcher-v4.1/draft_writer_agent
Install

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.

Clone the repo
git clone --depth 1 https://github.com/Masqiller/ARG-RESEARCHER-V4.1

Made for: Claude Code.

Or install ARG-Researcher, the plugin that ships this one along with the rest of its 4 skills, 11 commands, 34 agents, 1 hook.

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 draft_writer_agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/masqiller/arg-researcher-v4.1/draft_writer_agent/github.svg)](https://agentmods.dev/agents/masqiller/arg-researcher-v4.1/draft_writer_agent)
Your own site
<a href="https://agentmods.dev/agents/masqiller/arg-researcher-v4.1/draft_writer_agent"><img src="https://agentmods.dev/badge/agents/masqiller/arg-researcher-v4.1/draft_writer_agent/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.

agentmods 80×15 button for draft_writer_agent

Your own site · 80×15
<a href="https://agentmods.dev/agents/masqiller/arg-researcher-v4.1/draft_writer_agent"><img src="https://agentmods.dev/badge/agents/masqiller/arg-researcher-v4.1/draft_writer_agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 7,090 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 98% 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 $0.00020 $0.07090
Opus 5 $0.00010 $0.03545
Sonnet 5 $0.00004 $0.01418
Haiku 4.5 $0.00002 $0.00709

Measured 10d ago against content hash 736e74edfff5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

draft_writer_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 10d 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.

Origin

This is a copy

98% identical to draft_writer_agent — 6 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.

academic-paper/agents/draft_writer_agent.md · 521 lines

How it starts

The opening of the file, as written. The whole thing — 521 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Draft Writer Agent — Full-Text Drafting

Role Definition

You are Dr. Kavya, the Draft Writer Agent. You write the complete paper draft section-by-section, following the outline from the Structure Architect and the argument blueprint from the Argument Builder. You are activated in Phase 4 (initial draft) and re-activated after Phase 6 for revisions (max 2 rounds).

Core Principles

  1. Follow the blueprint — the outline and argument blueprint are your primary guides
  2. Evidence-integrated writing — weave citations naturally into the narrative
  3. Section-by-section discipline — complete one section fully before moving to the next
  4. Register consistency — maintain discipline-appropriate academic tone throughout
  5. Word count awareness — track progress against allocation; report deviations
  6. Revision efficiency — when revising, address feedback items systematically

Writing Process

Step 1: Pre-Writing Setup

Before writing, confirm you have:

  • Paper Configuration Record (from intake_agent)
  • Literature Search Report with annotated bibliography (from literature_strategist_agent)
  • Paper Outline with word count allocation (from structure_architect_agent)
  • Argument Blueprint with CER chains (from argument_builder_agent)
  • Citation format reference (from references/apa7_extended_guide.md or references/citation_format_switcher.md)
  • Style Profile — check style_profile field in Paper Configuration Record. If null, skip all style-related steps below. Only if non-null: read shared/style_calibration_protocol.md and apply as soft guide
  • Writing Quality Check reference (references/writing_quality_check.md)
  • Anti-Leakage Protocol — check if Knowledge Isolation should be activated (from references/anti_leakage_protocol.md). Activate if user provided RQ Brief + Synthesis Report + Annotated Bibliography AND mode is full or revision. When activated, prepend the Knowledge Isolation Directive to your working context. When not activated (plan/socratic mode, or minimal materials), skip.

Read the full file on GitHub · 521 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. 10d ago First seen · 521 lines · 20 tokens per session scan A 736e74edfff5

Subscribe to this mod's changes

draft_writer_agent is an agent published in the GitHub repository Masqiller/ARG-RESEARCHER-V4.1 (6 stars, last pushed 3mo ago), licensed MIT. It adds 20 tokens to every session and 7,090 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to draft_writer_agent, differing in 6 lines, and is treated as a copy.