Agent skill

Deep Research

by AgentTeam-TaichuAI in AgentTeam-TaichuAI/ScienceClaw

多源深度调研与专业报告生成。适用场景广泛——只要用户的问题涉及需要深度分析的专业话题，就应使用此技能。包括但不限于：(1) 用户明确要求调研/research/综述/报告/发现；(2) 用户提出一个技术或科学话题，话题复杂度需要多源深度分析；(3) 用户要求对比多种技术方案的优劣；(4) 涉及生物医药、蛋白质、基因、药物靶点等需要专业数据库支撑的问题。核心能力：根据问题性质自动组合 arXiv…

No licenceAuto-check passedResearch & Science

Install Deep Research

skills CLI

$ npx skills add AgentTeam-TaichuAI/ScienceClaw --skill deep-research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install AgentTeam-TaichuAI/ScienceClaw deep-research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/AgentTeam-TaichuAI/ScienceClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Skills/deep-research .claude/skills/deep-research && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "deep-research" agent skill from https://github.com/AgentTeam-TaichuAI/ScienceClaw/tree/master/Skills/deep-research into .claude/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/AgentTeam-TaichuAI/ScienceClaw/tree/master/Skills/deep-research

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add AgentTeam-TaichuAI/ScienceClaw --skill deep-research -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install AgentTeam-TaichuAI/ScienceClaw deep-research --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/AgentTeam-TaichuAI/ScienceClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Skills/deep-research .agents/skills/deep-research && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "deep-research" agent skill from https://github.com/AgentTeam-TaichuAI/ScienceClaw/tree/master/Skills/deep-research into .agents/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add AgentTeam-TaichuAI/ScienceClaw --skill deep-research -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install AgentTeam-TaichuAI/ScienceClaw deep-research --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/AgentTeam-TaichuAI/ScienceClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Skills/deep-research .cursor/skills/deep-research && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "deep-research" agent skill from https://github.com/AgentTeam-TaichuAI/ScienceClaw/tree/master/Skills/deep-research into .cursor/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/AgentTeam-TaichuAI/ScienceClaw.git --path Skills/deep-research

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add AgentTeam-TaichuAI/ScienceClaw --skill deep-research -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install AgentTeam-TaichuAI/ScienceClaw deep-research --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/AgentTeam-TaichuAI/ScienceClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Skills/deep-research .gemini/skills/deep-research && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "deep-research" agent skill from https://github.com/AgentTeam-TaichuAI/ScienceClaw/tree/master/Skills/deep-research into .gemini/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install AgentTeam-TaichuAI/ScienceClaw deep-research

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add AgentTeam-TaichuAI/ScienceClaw --skill deep-research -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/AgentTeam-TaichuAI/ScienceClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/Skills/deep-research .github/skills/deep-research && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "deep-research" agent skill from https://github.com/AgentTeam-TaichuAI/ScienceClaw/tree/master/Skills/deep-research into .github/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add AgentTeam-TaichuAI/ScienceClaw --skill deep-research -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install AgentTeam-TaichuAI/ScienceClaw deep-research --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/AgentTeam-TaichuAI/ScienceClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Skills/deep-research .opencode/skills/deep-research && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "deep-research" agent skill from https://github.com/AgentTeam-TaichuAI/ScienceClaw/tree/master/Skills/deep-research into .opencode/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: deep-research
GitHub stars: 671
Token cost: ~5.7k tokens
SKILL.md length: 718 words
Files: 5 (incl. scripts, references)
Skills in repo: 9
Repo updated: May 9, 2026
First seen: Oct 7, 2026
Licence: None found

At a glance

Works in 6 steps: 问题拆解与数据源规划 → 多源数据采集 → 数据提取与整理 → …
Tasks that involve Academic paper search
SKILL.md covers 工作流程总览, Phase 1: 问题拆解与数据源规划, Phase 2: 多源数据采集 and Phase 3: 数据提取与整理, plus 4 more sections
Runs Python scripts from its folder; calls python3, pdftotext and node; reaches specific-url.com and arxiv.org

What it does

Deep Research is an agent skill from AgentTeam-TaichuAI/ScienceClaw. 多源深度调研与专业报告生成。适用场景广泛——只要用户的问题涉及需要深度分析的专业话题，就应使用此技能。包括但不限于：(1) 用户明确要求调研/research/综述/报告/发现；(2) 用户提出一个技术或科学话题，话题复杂度需要多源深度分析；(3) 用户要求对比多种技术方案的优劣；(4) 涉及生物医药、蛋白质、基因、药物靶点等需要专业数据库支撑的问题。核心能力：根据问题性质自动组合 arXiv 论文检索 + ToolUniverse 科学工具（UniProt/OpenTargets/PubMed/FAERS 等 1000+ 工具）+ Web 搜索，多源采集数据，交叉分析，生成专业 PDF/DOCX 研究报告。

Its SKILL.md is about 5.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/academic_sources.md`, `references/data_sources.md` and `scripts/arxiv_paper_finder.py`).

It sits in Research & Science, covering Academic paper search and Deep research. It works with arXiv, PubMed, UniProt and Microsoft Word. The repository describes itself as: ScienceClaw is a personal research assistant built with LangChain DeepAgents and AIO Sandbox infrastructure, adopting a completely new architecture beyond OpenClaw. It offers…

When your agent uses it

Tasks that involve Academic paper search
Tasks that involve Deep research

Example prompts

“/deep-research”

Requirements

Python 3

Workflow steps

6 steps, taken from the step headings in SKILL.md.

问题拆解与数据源规划
多源数据采集
数据提取与整理
逐源深度解读
围绕用户问题的交叉分析与报告撰写
生成研究报告

What it can do on your machine

Read from SKILL.md and the folder at commit 3817e56. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python3
- pdftotext
- node
- nx
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- specific-url.com
- arxiv.org
- uniprot.org
- platform.opentargets.org
- who.int
- doi.org
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Deep Research loads about 5.7k tokens when it runs, and up to ~8.5k if it reads all its reference files. Until then it costs about 81 tokens; SKILL.md has 718 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~81
When it runs · the whole SKILL.md, loaded when a task matches: ~5.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~8.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 718 words (~5,738 tokens).

“端到端的深度调研系统：从用户问题出发，智能选择数据源组合（arXiv 论文 + ToolUniverse 科学工具 + Web 搜索），多维度采集数据，逐源深度解读，围绕用户问题进行交叉归纳，最终生成专业研究报告。”

— opening of SKILL.md by AgentTeam-TaichuAI

name: deep-research

Outline of SKILL.md

Deep Research — 多源深度调研系统
工作流程总览
Phase 1: 问题拆解与数据源规划
1.1 问题拆解
1.2 数据源决策
1.3 生成调研计划
Phase 2: 多源数据采集
2A: arXiv 论文检索（如已启用）
2B: ToolUniverse 数据采集（⚠️ 必选）
2C: Web 搜索补充采集（如已启用）
Phase 3: 数据提取与整理
3.1 论文文本提取（如有 arXiv 论文）
3.2 ToolUniverse 数据整理
Phase 4: 逐源深度解读
4.1 论文深度解读（如有）
4.2 ToolUniverse 数据解读
4.3 Web 数据解读
Phase 5: 围绕用户问题的交叉分析与报告撰写
5.1 确定报告章节
5.2 撰写各章节
5.3 撰写执行摘要和结论
5.4 验证
Phase 6: 生成研究报告
6.1 复制报告生成器
6.2 组装 report_data.json
6.3 生成最终报告
6.4 质量校验
arXiv API Query 速查
搜索字段
组合语法

Read the full SKILL.md on GitHub

Files

SKILL.md and 4 other files (scripts, references) in Skills/deep-research of AgentTeam-TaichuAI/ScienceClaw.

SKILL.md
references/academic_sources.md
references/data_sources.md
scripts/arxiv_paper_finder.py
scripts/build_report_data.py

Open the folder on GitHubat commit 3817e56

Compare with similar skills

Deep Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Deep Research compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Deep Research this skillAgentTeam-TaichuAI/ScienceClaw	671	—	~5.7k	Automated safety check: Pass	None	5 mo ago
Rival Search MCPdamionrashford/RivalSearchMCP	132	—	~796	Automated safety check: Pass	MIT	today
Firecrawl Deep Researchfirecrawl/skills	117	—	~1.4k	Automated safety check: Pass	ISC	2 days ago
Literature Reviewneflibata-feng/MyArxiv-Agent	126	20 repos	~5.9k	Automated safety check: Notes	MIT	yesterday
Citation ManagementK-Dense-AI/claude-scientific-writer	2.4k	2 repos	~3.9k	Automated safety check: Notes	MIT	yesterday
Citation Managementneflibata-feng/MyArxiv-Agent	126	19 repos	~8.1k	Automated safety check: Notes	MIT	yesterday

Similar skills

Rival Search MCP
damionrashford/RivalSearchMCP
Deterministic deep research via RivalSearchMCP. An agent skill from damionrashford/RivalSearchMCP.
132 GitHub stars~796 tokensUpdated today
Research & ScienceAuto-check passed
Firecrawl Deep Research
firecrawl/skills
Produce an intensive, cited analytical report: executive summary, multi-angle findings, contrarian views, open questions, and full sources.
117 GitHub stars~1.4k tokensUpdated 2 days ago
Research & ScienceAuto-check passed
Literature Review
neflibata-feng/MyArxiv-Agent
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).
126 GitHub starsUsed in 20 repos~5.9k tokens
Research & ScienceAuto-check: notes
Citation Management
K-Dense-AI/claude-scientific-writer
Finds papers in OpenAlex, PubMed and Google Scholar, turns DOIs, PMIDs and arXiv IDs into clean BibTeX, and validates citations for a manuscript or thesis.
2.4k GitHub starsUsed in 2 repos~3.9k tokens
Research & ScienceAuto-check: notes
Citation Management
neflibata-feng/MyArxiv-Agent
Comprehensive citation management for academic research. An agent skill from neflibata-feng/MyArxiv-Agent.
126 GitHub starsUsed in 19 repos~8.1k tokens
Research & ScienceAuto-check: notes
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Questions about Deep Research

What does Deep Research do?

When should I use Deep Research?

Deep Research fits situations like: tasks that involve Academic paper search; tasks that involve Deep research.

How do I install Deep Research in Claude Code?

Run `npx skills add AgentTeam-TaichuAI/ScienceClaw --skill deep-research -a claude-code`. Or copy the skill folder (Skills/deep-research in AgentTeam-TaichuAI/ScienceClaw) into .claude/skills/deep-research in your project. Claude Code loads it when a task matches its description.

How do I install Deep Research in Codex?

Run `npx skills add AgentTeam-TaichuAI/ScienceClaw --skill deep-research -a codex`. Or copy the skill folder (Skills/deep-research in AgentTeam-TaichuAI/ScienceClaw) into .agents/skills/deep-research in your project. Codex loads it when a task matches its description.

Can I use Deep Research in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AgentTeam-TaichuAI/ScienceClaw --skill deep-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deep-research, .gemini/skills/deep-research, .github/skills/deep-research and .opencode/skills/deep-research in your project.

What does Deep Research need to run?

Going by SKILL.md and its folder, Deep Research needs Python for the scripts in its folder and the command-line tools its instructions call (python3, pdftotext, node and nx). Our summary lists: Python 3.

Does Deep Research access the network?

SKILL.md names 6 domains. In commands or code: specific-url.com, arxiv.org, uniprot.org, platform.opentargets.org, who.int and doi.org; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Deep Research safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Deep Research use?

No licence was found for Deep Research or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Deep Research use?

About 5.7k tokens (SKILL.md is roughly 23k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.7k tokens, read only when the agent opens those files.

What are the alternatives to Deep Research?

Skills that share tags, products or a category with Deep Research: Rival Search MCP (damionrashford/RivalSearchMCP, 132 stars), Firecrawl Deep Research (firecrawl/skills, 117 stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars) and Citation Management (K-Dense-AI/claude-scientific-writer, 2.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Deep Research?

AgentTeam-TaichuAI (a GitHub user) maintains it in AgentTeam-TaichuAI/ScienceClaw, which has 671 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on May 9, 2026.

Source: AgentTeam-TaichuAI/ScienceClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Deep Research

Install Deep Research

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Files

Compare with similar skills

Similar skills

Rival Search MCP

Firecrawl Deep Research

Literature Review

Citation Management

Citation Management

Paper Search

More from AgentTeam-TaichuAI/ScienceClaw

Read GitHub

Skill Creator

PPTX

Feishu Setup

Tool Creator

Tooluniverse

Questions about Deep Research

Install Deep Research

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Files

Compare with similar skills

Similar skills

More from AgentTeam-TaichuAI/ScienceClaw

Related

Questions about Deep Research