Academic Research Suite for Codex
Imbad0202/academic-research-skills-codex
A router skill that sends academic work such as literature reviews, drafting, citation checks, peer review and revision to the right workflow in the ARS suite.
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.
Install Deep Research Agent Team
$ npx skills add Imbad0202/academic-research-skills --skill deep-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Imbad0202/academic-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/Imbad0202/academic-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/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/Imbad0202/academic-research-skills/tree/main/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/Imbad0202/academic-research-skills/tree/main/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 Imbad0202/academic-research-skills --skill deep-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Imbad0202/academic-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/Imbad0202/academic-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/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/Imbad0202/academic-research-skills/tree/main/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 Imbad0202/academic-research-skills --skill deep-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Imbad0202/academic-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/Imbad0202/academic-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/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/Imbad0202/academic-research-skills/tree/main/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/Imbad0202/academic-research-skills.git --path 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 Imbad0202/academic-research-skills --skill deep-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Imbad0202/academic-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/Imbad0202/academic-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/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/Imbad0202/academic-research-skills/tree/main/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 Imbad0202/academic-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 Imbad0202/academic-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/Imbad0202/academic-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/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/Imbad0202/academic-research-skills/tree/main/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 Imbad0202/academic-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 Imbad0202/academic-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/Imbad0202/academic-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/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/Imbad0202/academic-research-skills/tree/main/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
- 51k
- Token cost
- ~13k tokens
- SKILL.md length
- 4,938 words
- Files
- 55 (incl. references)
- Skills in repo
- 5
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
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.
- Works in 3 steps: Explicit clear intent — user invokes a… → Cross-phase materials detected — user… → Ambiguous intent, no materials — user…
- Running a systematic literature review or meta-analysis on a topic
- SKILL.md covers Quick Start, Pasted and retrieved text is…, Trigger Conditions and Agent Team (13 Agents), plus 18 more sections
- Calls python3
What it does
The skill coordinates a set of specialist agents, each described in its own file, covering research question formulation, Socratic mentoring, methodology design, bibliography, source verification, cross-source synthesis, risk-of-bias assessment, meta-analysis, report compilation, editorial review, a devil's-advocate challenge, ethics review and post-research literature monitoring. It offers eight modes: full research, a quick brief, paper review, a literature review, fact-checking, a three-way literature scan, a Socratic guided dialogue, and a systematic review with an optional meta-analysis.
Requests are classified before any agent runs: an explicit slash command or an unambiguous trigger phrase routes straight to one skill, while anything else goes through clarification steps so the right mode and scope get confirmed first. The report compiler can apply an optional style profile as a soft guide and flags claims the cited sources do not support, rather than only hedging them. Bundled example files cover exploratory research, fact-check mode and handing results off into a paper draft.
When your agent uses it
- Running a systematic literature review or meta-analysis on a topic
- Fact-checking a claim against primary sources
- Getting Socratic guidance to narrow down an unclear research direction
- Reviewing a paper draft for gaps or unsupported claims
Example prompts
- “Run a systematic review with meta-analysis on intermittent fasting and insulin sensitivity.”
- “Fact-check this paragraph about vaccine efficacy against primary sources.”
- “I'm not sure what to research about urban heat islands, help me think through it.”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Explicit clear intent — user invokes a specific skill via /ars-* slash command, or uses an unambiguous trigger keyword that maps to a…
- Cross-phase materials detected — user provides artifacts spanning ≥ 2 pipeline phases without naming a specific skill (e.g., pre-written…
- Ambiguous intent, no materials — user provides no artifacts and no clear request
What it can do on your machine
Read from SKILL.md and the folder at commit e614b32. 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
Shell commands in SKILL.md call:
python3
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 Agent Team loads about 13k tokens when it runs, and up to ~91k if it reads all its reference files. Until then it costs about 259 tokens; SKILL.md has 4,938 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 4,938 words (~12,569 tokens).
“Universal deep research tool — a domain-agnostic 13-agent team for rigorous academic research on any topic.”
- name
- deep-research
- metadata.version
- 2.12.1
- metadata.last_updated
- 2026-08-15
- metadata.status
- active
- metadata.data_access_level
- raw
- metadata.task_type
- open-ended
- metadata.related_skills
- academic-paper, academic-pipeline
Files
SKILL.md and 54 other files (references) in deep-research of Imbad0202/academic-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
- agents/timeline_extraction_agent.md
- examples/exploratory_research.md
- examples/fact_check_mode.md
- examples/handoff_to_paper.md
- examples/idea_diversity_coverage_gap_advisory.md
- … and 36 more
Open the folder on GitHubat commit e614b32
Compare with similar skills
Deep Research Agent Team 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 Agent Team this skillImbad0202/academic-research-skills | 51k | — | ~13k | Automated safety check: Pass | Custom licence | |
| Academic Research Suite for CodexImbad0202/academic-research-skills-codex | 12k | — | ~12k | Automated safety check: Pass | Custom licence | |
| Architect ResearchDanMcInerney/architect-loop | 626 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Deep Researchbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~8k | Automated safety check: Pass | Custom licence | |
| Deep Research WorkflowTokenRhythm/opensquilla | 7.1k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Deep Researchsanjay3290/ai-skills | 431 | 9 repos | ~683 | Automated safety check: Notes | Apache-2.0 |
Similar skills
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…
Deep Research
brycewang-stanford/Auto-Empirical-Research-Skills
Universal deep research agent team. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
Deep Research Workflow
TokenRhythm/opensquilla
Runs multi-round research in three stages with a persisted state file, evidence tracking and a long-form report with per-claim citations.
Deep Research
sanjay3290/ai-skills
Execute autonomous multi-step research using Google Gemini Deep Research Agent.
Social Science Paper Writing
fakerqwq/social-science-paper-writing-skill
Helps draft, diagnose, review and revise social science papers, from topic and research question to literature review, citation risks and pre-submission checks.
More from Imbad0202/academic-research-skills
Systematic Review Screener
Imbad0202/academic-research-skills
Screens records for systematic, scoping and rapid reviews against fixed eligibility rules, using two blinded AI reviewers and a third adjudicator, with traceable PRISMA counts.
Academic Paper Writing Pipeline
Imbad0202/academic-research-skills
Runs a 12-agent pipeline that plans, drafts, cites, reviews and formats academic papers, with modes for revision, rebuttals, abstracts and citation checks.
Academic Paper Reviewer
Imbad0202/academic-research-skills
Simulates a journal peer review of a manuscript with a five-seat reviewer panel, an editorial synthesizer and several review modes.
Academic Research Pipeline
Imbad0202/academic-research-skills
Orchestrates a ten-stage academic workflow from research to finished manuscript, including integrity checks, two rounds of peer review and revision.
Related
Categories
Questions about Deep Research Agent Team
What does Deep Research Agent Team do?
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. The skill coordinates a set of specialist agents, each described in its own file, covering research question formulation, Socratic mentoring, methodology design, bibliography, source verification, cross-source synthesis, risk-of-bias assessment, meta-analysis, report compilation, editorial review, a devil's-advocate challenge, ethics review and post-research literature monitoring. It offers eight modes: full research, a quick brief, paper review, a literature review, fact-checking, a three-way literature scan, a Socratic guided dialogue, and a systematic review with an optional meta-analysis.
When should I use Deep Research Agent Team?
Deep Research Agent Team fits situations like: running a systematic literature review or meta-analysis on a topic; fact-checking a claim against primary sources; getting Socratic guidance to narrow down an unclear research direction; reviewing a paper draft for gaps or unsupported claims.
How do I install Deep Research Agent Team in Claude Code?
Run `npx skills add Imbad0202/academic-research-skills --skill deep-research -a claude-code`. Or copy the skill folder (deep-research in Imbad0202/academic-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 Agent Team in Codex?
Run `npx skills add Imbad0202/academic-research-skills --skill deep-research -a codex`. Or copy the skill folder (deep-research in Imbad0202/academic-research-skills) into .agents/skills/deep-research in your project. Codex loads it when a task matches its description.
Can I use Deep Research Agent Team 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 Imbad0202/academic-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 Agent Team need to run?
Going by SKILL.md and its folder, Deep Research Agent Team needs the command-line tools its instructions call (python3).
Does Deep Research Agent Team 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 Agent Team 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 Agent Team use?
Deep Research Agent Team 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 Agent Team use?
About 13k tokens (SKILL.md is roughly 50k 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 78k tokens, read only when the agent opens those files.
What are the alternatives to Deep Research Agent Team?
Skills that share tags, products or a category with Deep Research Agent Team: Academic Research Suite for Codex (Imbad0202/academic-research-skills-codex, 12k stars), Architect Research (DanMcInerney/architect-loop, 626 stars), Deep Research (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars) and Deep Research Workflow (TokenRhythm/opensquilla, 7.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Deep Research Agent Team?
Imbad0202 (a GitHub user) maintains it in Imbad0202/academic-research-skills, which has 51,003 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 9, 2026.
Source: Imbad0202/academic-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.