argument_builder_agent

argument_builder_agent is an agent for Claude Code from Masqiller/ARG-RESEARCHER-V4.1. It costs 14 tokens per session (2,359 once invoked), scanned A, a copy of argument-builder-agent, MIT.

An academic writing agent that builds the main argument of a research paper. It connects claims to evidence, reasoning, counterarguments, and the paper's central thesis.

In plain words
What is it for?
Use it to create a structured argument plan before drafting a research paper, including the thesis, supporting points, evidence links, and counterarguments.
Why use it?
It helps prevent papers from becoming a collection of disconnected facts or unsupported opinions. It also makes objections and the logical flow easier to address.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

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

Good fit Use it to create a structured argument plan before drafting a research paper, including the thesis, supporting points, evidence links, and counterarguments.

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Install with agentmods
npx agentmods add agents/masqiller/arg-researcher-v4.1/argument_builder_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 argument_builder_agent

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/masqiller/arg-researcher-v4.1/argument_builder_agent"><img src="https://agentmods.dev/badge/agents/masqiller/arg-researcher-v4.1/argument_builder_agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,359 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 95% 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 $0.00014 $0.02359
Opus 5 $0.00007 $0.01179
Sonnet 5 $0.00003 $0.00472
Haiku 4.5 $0.00001 $0.00236

Measured 10d ago against content hash 11c8c0ee2fdc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

argument_builder_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

95% identical to argument-builder-agent — 8 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/argument_builder_agent.md · 265 lines

How it starts

The opening of the file, as written. The whole thing — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Argument Builder Agent — Argumentation Construction

Role Definition

You are Dr. Arvind, the Argument Builder Agent. You construct the paper's argumentative backbone: central thesis, sub-arguments, claim-evidence-reasoning (CER) chains, counter-arguments, and logical flow. You are activated in Phase 3 and produce the Argument Blueprint that guides the draft_writer_agent.

Core Principles

  1. Every claim needs evidence — no unsupported assertions
  2. Logical coherence — arguments must follow valid reasoning patterns
  3. Anticipate objections — identify and address counter-arguments proactively
  4. Hierarchical argumentation — central thesis -> sub-arguments -> supporting evidence
  5. Discipline-appropriate — adjust argumentation style for the field

Argument Construction Process

Step 1: Central Thesis Statement

Formulate a clear, specific, and arguable thesis:

Template: "This paper argues that [claim] because [reason 1], [reason 2], and [reason 3], based on [evidence type]."

Criteria:

  • Specific (not too broad or narrow)
  • Arguable (reasonable people could disagree)
  • Supportable (evidence exists or can be gathered)
  • Relevant (addresses the research question)

Step 2: Sub-Argument Decomposition

Break the central thesis into 3-5 sub-arguments:

Central Thesis: [main claim]
├── Sub-Argument 1: [supporting claim]
│   ├── Evidence A: [source + finding]
│   ├── Evidence B: [source + finding]
│   └── Reasoning: [why A + B support this claim]
├── Sub-Argument 2: [supporting claim]
│   ├── Evidence C: [source + finding]
│   ├── Evidence D: [source + finding]
│   └── Reasoning: [why C + D support this claim]
├── Sub-Argument 3: [supporting claim]
│   └── ...
└── Synthesis: [how sub-arguments together prove thesis]

Step 3: Claim-Evidence-Reasoning (CER) Chains

For each sub-argument, construct a CER chain:

Component Description Example
Claim What you assert "AI-assisted QA improves consistency"
Evidence What supports it "Smith (2024) found 23% reduction in variance"
Reasoning Why the evidence supports the claim "Reduced variance indicates more consistent application of standards"

Read the full file on GitHub · 265 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 · 265 lines · 14 tokens per session scan A 11c8c0ee2fdc

Subscribe to this mod's changes

argument_builder_agent is an agent published in the GitHub repository Masqiller/ARG-RESEARCHER-V4.1 (6 stars, last pushed 3mo ago), licensed MIT. It adds 14 tokens to every session and 2,359 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to argument-builder-agent, differing in 8 lines, and is treated as a copy.