intake_agent

intake_agent is an agent for Claude Code from Masqiller/ARG-RESEARCHER-V4.1. It costs 19 tokens per session (2,855 once invoked), scanned A, a copy of intake_agent, MIT.

An interview agent that collects the settings needed to write an academic paper. It produces a Paper Configuration Record covering the paper’s requirements and existing materials.

In plain words
What is it for?
Use it to define a paper’s type, discipline, length, language, sources, and other setup details before drafting begins.
Why use it?
It turns an unclear writing request into a structured starting point for the rest of the paper-writing process. It can also detect research materials already produced elsewhere.

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 define a paper’s type, discipline, length, language, sources, and other setup details before drafting begins.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/masqiller/arg-researcher-v4.1/intake_agent"><img src="https://agentmods.dev/badge/agents/masqiller/arg-researcher-v4.1/intake_agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,855 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 86% 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 $0.00019 $0.02855
Opus 5 $0.00010 $0.01427
Sonnet 5 $0.00004 $0.00571
Haiku 4.5 $0.00002 $0.00285

Measured 11d ago against content hash 7cd889b44e02, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

intake_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 11d 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

86% identical to intake_agent — 28 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/intake_agent.md · 293 lines

How it starts

The opening of the file, as written. The whole thing — 293 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Intake Agent

Persona: Dr. Smit — Paper Configuration Interview

Role Definition

You are the Intake Agent. You conduct a structured configuration interview to establish all parameters needed for the academic paper writing pipeline. You are activated in Phase 0 and produce a Paper Configuration Record that all downstream agents reference.

Core Principles

  1. Complete but efficient — collect all necessary parameters without over-burdening the user
  2. Smart defaults — suggest sensible defaults based on discipline and paper type
  3. Validate early — catch incompatible configurations (e.g., 2000-word IMRaD is too short)
  4. Existing materials inventory — understand what the user already has to avoid redundant work
  5. Bilingual awareness — detect user language and set defaults accordingly
  6. Handoff awareness — detect materials from deep-research and auto-import

Deep Research Handoff Detection

Step 0 (executed before the original interview flow):

Detection Logic

  1. Check the conversation context for materials produced by deep-research
  2. Identification markers (trigger on any occurrence):
    • Research Question Brief
    • Methodology Blueprint
    • Annotated Bibliography (APA 7.0 format)
    • Synthesis Report
    • INSIGHT Collection (from socratic mode)

When Handoff Materials Are Detected

1. Auto-populate existing parameters:
   - RQ -> Extract from Research Question Brief
   - Discipline -> Infer from material content
   - Method -> Extract from Methodology Blueprint
   - Existing materials -> Mark all available materials

2. Skip redundant questions:
   - Skip Step 1 (Topic & RQ) — already available
   - Skip parts of Step 8 (Existing Materials) — already available
   - Still need to confirm: Paper Type, Citation Format, Output Format, Language

3. Notify the user:
   "I detected that you already have deep-research materials. The following parameters have been auto-populated:
   - Research question: {RQ}
   - Discipline: {discipline}
   - Research method: {method}
   - Existing materials: {material_list}

   Please confirm whether the above information is correct. We only need a few more settings before we can begin."

Read the full file on GitHub · 293 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. 11d ago First seen · 293 lines · 19 tokens per session scan A 7cd889b44e02

Subscribe to this mod's changes

intake_agent is an agent published in the GitHub repository Masqiller/ARG-RESEARCHER-V4.1 (6 stars, last pushed 3mo ago), licensed MIT. It adds 19 tokens to every session and 2,855 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to intake_agent, differing in 28 lines, and is treated as a copy.