deep-research

deep-research is a skill for Claude Code from Masqiller/ARG-RESEARCHER-V4.1. It costs 225 tokens per session (6,000 once invoked), scanned A, a copy of deep-research, MIT.

A team of 13 research agents for conducting academic research on almost any topic, from defining a question and finding sources to checking evidence and writing a report. It offers modes including a quick brief, paper review, literature review, fact-check, guided research dialogue, and systematic review with optional statistical synthesis.

In plain words
What is it for?
Use it to formulate research questions, search and verify literature, compare sources, review papers, fact-check claims, or produce a systematic review.
Why use it?
It organizes a large research project into stages and provides different workflows for different levels of depth.

Skill 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 formulate research questions, search and verify literature, compare sources, review papers, fact-check claims, or produce a systematic review.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/masqiller/arg-researcher-v4.1/deep-research
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.

Any agent
npx skills add Masqiller/ARG-RESEARCHER-V4.1 --skill deep-research
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 deep-research

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/masqiller/arg-researcher-v4.1/deep-research"><img src="https://agentmods.dev/badge/skills/masqiller/arg-researcher-v4.1/deep-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 225 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,000 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 $0.00225 $0.06000
Opus 5 $0.00112 $0.03000
Sonnet 5 $0.00045 $0.01200
Haiku 4.5 $0.00022 $0.00600

Measured 11d ago against content hash 824f4d4837e1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

deep-research 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

100% identical to deep-research — 2 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.

deep-research/SKILL.md · 489 lines

How it starts

The opening of the file, as written. The whole thing — 489 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deep Research — Universal Academic Research Agent Team

Universal deep research tool — a domain-agnostic 13-agent team for rigorous academic research on any topic.

v2.4 adds writing quality improvements to the report compiler:

  • Style Profile consumption (optional) — If a Style Profile is available from academic-paper intake, the report compiler applies it as a soft guide for the Executive Summary and Synthesis sections. Discipline conventions and report objectivity take priority.
  • Writing Quality Check — The report compiler runs a writing quality checklist before finalizing: flags AI-typical overused terms, checks sentence/paragraph length variation, removes throat-clearing openers. See academic-paper/references/writing_quality_check.md.

Quick Start

Minimal command:

Research the impact of AI on higher education quality assurance

Socratic mode:

Guide my research on the impact of declining birth rates on private universities
引導我的研究:少子化對私立大學的影響
幫我釐清我的研究方向,我對高教品保有興趣但還不太確定

Execution:

  1. Scoping — Research question + methodology blueprint
  2. Investigation — Systematic literature search + source verification
  3. Analysis — Cross-source synthesis + bias check
  4. Composition — Full APA 7.0 report
  5. Review — Editorial + ethics + vulnerability scan
  6. Revision — Final polished report

Trigger Conditions

Trigger Keywords

English: research, deep research, literature review, systematic review, meta-analysis, PRISMA, evidence synthesis, fact-check, methodology, APA report, academic analysis, policy analysis, guide my research, help me think through, monitor this topic, set up alerts

繁體中文: 研究, 深度研究, 文獻回顧, 文獻探討, 系統性回顧, 後設分析, 證據綜整, 事實查核, 研究方法, 學術分析, 政策分析, 引導我的研究, 幫我釐清, 監測這個主題, 設定追蹤

Socratic Mode Activation

Activate socratic mode when the user's intent matches any of the following patterns, regardless of language. Detect meaning, not exact keywords.

Intent signals (any one is sufficient):

  1. User has no clear research question and wants guided thinking
  2. User asks to be "led", "guided", or "mentored" through research
  3. User expresses uncertainty about what to research or where to start
  4. User wants to brainstorm, explore, or clarify a research direction
  5. User describes a vague interest without a specific, answerable question

Read the full file on GitHub · 489 lines

Files

What ships with it

46 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. 11d ago First seen · 489 lines · 225 tokens per session scan A 824f4d4837e1

Subscribe to this mod's changes

deep-research is a skill published in the GitHub repository Masqiller/ARG-RESEARCHER-V4.1 (6 stars, last pushed 3mo ago), licensed MIT. It adds 225 tokens to every session and 6,000 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to deep-research, differing in 2 lines, and is treated as a copy.

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