alterlab-deep-research

alterlab-deep-research is a skill for Claude Code from AlterLab-IEU/AlterLab-Academic-Skills. It costs 239 tokens per session (5,518 once invoked), scanned A, original, MIT.

A team of 13 research agents for academic work across modes such as literature reviews, fact-checking, paper review, systematic reviews, and research planning. It can guide the question, gather and verify sources, synthesize evidence, and produce an APA 7 report.

In plain words
What is it for?
Use it to formulate research questions, conduct literature and systematic reviews, analyze evidence, fact-check claims, prepare reports, and think through a topic with guided questions.
Why use it?
It gives structure to large research tasks that are easy to approach inconsistently. The staged workflow helps keep the research question, evidence, analysis, writing, and review connected.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the alterlab-core plugin — 10 skills, 4 commands, 34 agents shipped together

Good fit Use it to formulate research questions, conduct literature and systematic reviews, analyze evidence, fact-check claims, prepare reports, and think through a topic with guided questions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alterlab-ieu/alterlab-academic-skills/alterlab-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 AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-deep-research
Clone the repo
git clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-Skills

Made for: Claude Code.

Or install alterlab-core, the plugin that ships this one along with the rest of its 10 skills, 4 commands, 34 agents.

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 alterlab-deep-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-deep-research/github.svg)](https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-deep-research)
Your own site
<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-deep-research"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-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 alterlab-deep-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-deep-research"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-deep-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 239 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,518 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found 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 $0.00239 $0.05518
Opus 5 $0.00120 $0.02759
Sonnet 5 $0.00048 $0.01104
Haiku 4.5 $0.00024 $0.00552

Measured 9d ago against content hash 004c0d3083ad, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

alterlab-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 9d 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.

skills/core/alterlab-deep-research/SKILL.md · 399 lines

How it starts

The opening of the file, as written. The whole thing — 399 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. v2.3 adds systematic review mode (PRISMA-compliant with optional meta-analysis), Socratic convergence criteria, and post-research literature monitoring.

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

Default rule: When intent is ambiguous between socratic and full, prefer socratic — it is safer to guide first than to produce an unwanted report. The user can always switch to full later.

Read the full file on GitHub · 399 lines

Files

What ships with it

43 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. 9d ago First seen · 399 lines · 239 tokens per session scan A 004c0d3083ad

Subscribe to this mod's changes

alterlab-deep-research is a skill published in the GitHub repository AlterLab-IEU/AlterLab-Academic-Skills (66 stars, last pushed 7d ago), licensed MIT. It adds 239 tokens to every session and 5,518 once invoked, about $0.0012 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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