Deep Research Agent Team
Imbad0202/academic-research-skills
Runs a 13-agent pipeline for rigorous academic research, from forming the question through systematic search, synthesis, bias checks and an APA 7.0 report.
Universal deep research agent team. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
Install Deep Research
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill deep-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills deep-research --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/24-Imbad0202-academic-research-skills/deep-research .claude/skills/deep-research && rm -rf skills-srcUse ~/.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/
Install the "deep-research" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/24-Imbad0202-academic-research-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 install https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/24-Imbad0202-academic-research-skills/deep-researchType 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.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill deep-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills deep-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/24-Imbad0202-academic-research-skills/deep-research .agents/skills/deep-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "deep-research" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/24-Imbad0202-academic-research-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.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill deep-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills deep-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/24-Imbad0202-academic-research-skills/deep-research .cursor/skills/deep-research && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "deep-research" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/24-Imbad0202-academic-research-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 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git --path skills/24-Imbad0202-academic-research-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.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill deep-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills deep-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/24-Imbad0202-academic-research-skills/deep-research .gemini/skills/deep-research && rm -rf skills-srcUse ~/.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/
Install the "deep-research" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/24-Imbad0202-academic-research-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.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills deep-researchInstalls 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).
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill deep-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/24-Imbad0202-academic-research-skills/deep-research .github/skills/deep-research && rm -rf skills-srcUse ~/.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/
Install the "deep-research" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/24-Imbad0202-academic-research-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.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill deep-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills deep-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/24-Imbad0202-academic-research-skills/deep-research .opencode/skills/deep-research && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "deep-research" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/24-Imbad0202-academic-research-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
- 4.5k
- Token cost
- ~8k tokens
- SKILL.md length
- 2,121 words
- Files
- 43 (incl. references)
- Skills in repo
- 383
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Universal deep research agent team. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
- Works in 6 steps: Scoping — Research question +… → Investigation — Systematic literature… → Analysis — Cross-source synthesis + bias… → …
- Literature review
- SKILL.md covers Quick Start, Trigger Conditions, Agent Team (13 Agents) and Mode Selection Guide, plus 17 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Deep Research is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review, devil's advocate…
Its SKILL.md is about 8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 44 other files, including reference files (for example `agents/bibliography_agent.md`, `agents/devils_advocate_agent.md` and `agents/editor_in_chief_agent.md`).
It sits in Research & Science, covering Literature review, Deep research and Fact-checking and source verification. It works with Prisma. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI…
When your agent uses it
- Literature review
- Systematic review
- Evidence synthesis
- Guide my research
Example prompts
- “/deep-research”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Scoping — Research question + methodology blueprint
- Investigation — Systematic literature search + source verification
- Analysis — Cross-source synthesis + bias check
- Composition — Full APA 7.0 report
- Review — Editorial + ethics + vulnerability scan
- Revision — Final polished report
What it can do on your machine
Read from SKILL.md and the folder at commit 9fa87d8. 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
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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 8k tokens when it runs, and up to ~54k if it reads all its reference files. Until then it costs about 214 tokens; SKILL.md has 2,121 words of instructions outside code blocks.
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); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 2,121 words (~7,993 tokens).
“Universal deep research tool — a domain-agnostic 13-agent team for rigorous academic research on any topic.”
- name
- deep-research
- metadata.version
- 2.4
- metadata.last_updated
- 2026-03-27
Files
SKILL.md and 42 other files (references) in skills/24-Imbad0202-academic-research-skills/deep-research of brycewang-stanford/Auto-Empirical-Research-Skills.
- SKILL.md
- agents/bibliography_agent.md
- agents/devils_advocate_agent.md
- agents/editor_in_chief_agent.md
- agents/ethics_review_agent.md
- agents/meta_analysis_agent.md
- agents/monitoring_agent.md
- agents/report_compiler_agent.md
- agents/research_architect_agent.md
- agents/research_question_agent.md
- agents/risk_of_bias_agent.md
- agents/socratic_mentor_agent.md
- agents/source_verification_agent.md
- agents/synthesis_agent.md
- examples/exploratory_research.md
- examples/fact_check_mode.md
- examples/handoff_to_paper.md
- examples/policy_analysis.md
- examples/review_mode.md
- … and 24 more
Open the folder on GitHubat commit 9fa87d8
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Deep Research this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~8k | Automated safety check: Pass | Custom licence | |
| Deep Research Agent TeamImbad0202/academic-research-skills | 51k | — | ~13k | Automated safety check: Pass | Custom licence | |
| Scientific Writingneflibata-feng/MyArxiv-Agent | 126 | 18 repos | ~8.4k | Automated safety check: Notes | MIT | |
| Architect ResearchDanMcInerney/architect-loop | 626 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Lit Searchluwill/research-skills | 858 | — | ~3.5k | Automated safety check: Notes | MIT | |
| Ma Search Bibliographyhtlin222/meta-pipe | 139 | — | ~2.1k | Automated safety check: Notes | Custom licence |
Similar skills
Scientific Writing
neflibata-feng/MyArxiv-Agent
Core skill for the deep research and writing tool. An agent skill from neflibata-feng/MyArxiv-Agent.
Architect Research
DanMcInerney/architect-loop
A skill your agent uses when the user asks for discovery-scale research that informs a decision: brainstorming a project or feature, choosing a technology, or requests like "research X", "what's the…
Lit Search
luwill/research-skills
Runs an exhaustive time-windowed literature search over a research topic and delivers a quality-tiered DOI list plus a matching formatted reference list, with measurable recall (gold-set recall…
Ma Search Bibliography
htlin222/meta-pipe
Conduct literature searches for meta-analysis using Python with uv, query PubMed and other databases, deduplicate results, and store round-based bibliographies with notes.
Meta Analysis
Aperivue/medsci-skills
A skill your agent uses when running a systematic review and meta-analysis, DTA or intervention.
More from brycewang-stanford/Auto-Empirical-Research-Skills
All 383 skills in this repoAer Consistency
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when auditing a finished or near-finished AER, AER:Insights, or AEJ manuscript for internal consistency: headline numbers across abstract, introduction, results, and tables…
Latex Paper En
brycewang-stanford/Auto-Empirical-Research-Skills
English LaTeX academic paper assistant for existing .tex projects.
Bayesian Workflow
brycewang-stanford/Auto-Empirical-Research-Skills
Opinionated Bayesian modeling workflow with PyMC and ArviZ. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
Daily Paper Generator
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when the user asks to "generate daily paper", "search arXiv for EEG papers", "find EEG decoding papers", "review brain-computer interface papers", or wants to create paper…
Five Questions
brycewang-stanford/Auto-Empirical-Research-Skills
Deeply analyze any empirical economics PDF using the five-question framework (五问框架): research question, identification strategy, core estimand, robustness logic, and scholarly contribution.
Kaggle Research
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an…
Related
Works with
Categories
Questions about Deep Research
What does Deep Research do?
Universal deep research agent team. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Deep Research is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Universal deep research agent team.
When should I use Deep Research?
Deep Research fits situations like: literature review; systematic review; evidence synthesis; guide my research.
How do I install Deep Research in Claude Code?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill deep-research -a claude-code`. Or copy the skill folder (skills/24-Imbad0202-academic-research-skills/deep-research in brycewang-stanford/Auto-Empirical-Research-Skills) 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill deep-research -a codex`. Or copy the skill folder (skills/24-Imbad0202-academic-research-skills/deep-research in brycewang-stanford/Auto-Empirical-Research-Skills) 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 brycewang-stanford/Auto-Empirical-Research-Skills --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?
SKILL.md names no scripts, command-line tools or credentials: Deep Research is instructions for the agent only.
Does Deep Research access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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. Review the folder before installing.
What licence does Deep Research use?
Deep Research has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Deep Research use?
About 8k tokens (SKILL.md is roughly 32k 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 46k 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: Deep Research Agent Team (Imbad0202/academic-research-skills, 51k stars), Scientific Writing (neflibata-feng/MyArxiv-Agent, 126 stars), Architect Research (DanMcInerney/architect-loop, 626 stars) and Lit Search (luwill/research-skills, 858 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Deep Research?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,542 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.
Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.