Agent skill

Academic Deep Research

by wentorai in wentorai/Research-Claw

Methodical research assistant for exhaustive investigations through systematic research cycles.

Custom licenceAuto-check passedResearch & Science

Install Academic Deep Research

skills CLI
$ npx skills add wentorai/Research-Claw --skill academic-deep-research -a claude-code

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

GitHub CLI
$ gh skill install wentorai/Research-Claw academic-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/wentorai/Research-Claw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/academic-deep-research .claude/skills/academic-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/

Facts

Skill name
academic-deep-research
GitHub stars
858
Token cost
~5.7k tokens
SKILL.md length
1,787 words
Files
1
Skills in repo
29
Repo updated
First seen
Licence
Custom licence

At a glance

Methodical research assistant for exhaustive investigations through systematic research cycles.

  • Works in 3 steps: Initial Engagement [STOP POINT — WAIT… → Research Planning [STOP POINT — WAIT FOR… → Mandated Research Cycles [NO STOPS —…
  • Tasks that involve Deep research
  • SKILL.md covers When to Use This Skill, Tool Configuration, Core Structure (Three Stop… and Error Handling Protocol, plus 4 more sections
  • Reaches doi.org

What it does

Academic Deep Research is an agent skill from wentorai/Research-Claw. Methodical research assistant for exhaustive investigations through systematic research cycles. Best for literature reviews, competitive analysis, trend reports, and comprehensive topic exploration.

Its SKILL.md is about 5.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Deep research, Competitor analysis and Literature review. The repository describes itself as: In the AI era, why can't everyone be a Principal Investigator?

When your agent uses it

  • Tasks that involve Deep research
  • Tasks that involve Competitor analysis
  • Tasks that involve Literature review

Example prompts

  • “/academic-deep-research”

Workflow steps

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

  1. Initial Engagement [STOP POINT — WAIT FOR USER]
  2. Research Planning [STOP POINT — WAIT FOR APPROVAL]
  3. Mandated Research Cycles [NO STOPS — EXECUTE FULLY]

What it can do on your machine

Read from SKILL.md and the folder at commit 5015be7. 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 (its code samples are markdown).

    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:

    • 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

Academic Deep Research loads about 5.7k tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 1,787 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~5.7k

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 1,787 words (~5,721 tokens).

“You are a methodical research assistant who conducts exhaustive investigations through required research cycles. Your purpose is to build comprehensive understanding through systematic investigation.”

— opening of SKILL.md by wentorai, Custom licence
name
academic-deep-research
tags
research, literature-review, analysis, deep-dive
version
1.0.0
author
kesslerio
source
https://clawhub.ai/kesslerio/academic-deep-research

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/academic-deep-research of wentorai/Research-Claw.

Open the folder on GitHubat commit 5015be7

Compare with similar skills

Academic 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.

Academic Deep Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Academic Deep Research this skillwentorai/Research-Claw858—~5.7kAutomated safety check: PassCustom licence
Bmad Deep Recondelorenj/mcp-server-trello445—~2.3kAutomated safety check: PassMIT
Interceptor ResearchHacker-Valley-Media/Interceptor522—~3.8kAutomated safety check: PassCustom licence
Deep ResearchFreedomIntelligence/OpenClaw-Medical-Skills3.1k1 repos~1.1kAutomated safety check: PassNone
Academic Deep ResearchLeoYeAI/openclaw-master-skills2.2k2 repos~6kAutomated safety check: PassMIT
GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT

Similar skills

  • Bmad Deep Recon

    delorenj/mcp-server-trello

    Decision-grade research, three ways: draft a deep-research prompt for the user to run in their own tool (ChatGPT, Gemini, Grok, Perplexity, …), process a finished research report — file it, distill…

    445 GitHub stars~2.3k tokensUpdated 17 days ago
    Research & ScienceAuto-check passed
  • Interceptor Research

    Hacker-Valley-Media/Interceptor

    Deep web-research methodology for the interceptor browser surface — investigate a topic the way researchers, intelligence analysts, investigative journalists, private investigators, and OSINT…

    522 GitHub stars~3.8k tokensUpdated 8 days ago
    Research & ScienceAuto-check passed
  • Deep Research

    FreedomIntelligence/OpenClaw-Medical-Skills

    Execute autonomous multi-step deep research on any topic. An agent skill from FreedomIntelligence/OpenClaw-Medical-Skills.

    3.1k GitHub starsUsed in 1 repo~1.1k tokens
    Research & ScienceAuto-check passed
  • Academic Deep Research

    LeoYeAI/openclaw-master-skills

    Transparent, rigorous research with full methodology — not a black-box API wrapper.

    2.2k GitHub starsUsed in 2 repos~6k tokens
    Research & ScienceAuto-check passed
  • GitHub Deep Research

    bytedance/deer-flow

    Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.

    84k GitHub starsUsed in 4 repos~1.3k tokens
    Research & ScienceAuto-check passed
  • 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.

    7.1k GitHub stars~1.3k tokensUpdated yesterday
    Research & ScienceAuto-check passed

More from wentorai/Research-Claw

All 29 skills in this repo
  • Md2pdf Export

    wentorai/Research-Claw

    Convert Markdown files to PDF, PNG, or JPEG using headless Chrome (Puppeteer), following the same methodology as VS Code's Markdown Preview Enhanced extension.

    858 GitHub stars~2.1k tokensUpdated 1 mo ago
    Auto-check: notes
  • Claude Code

    wentorai/Research-Claw

    Reference for using Claude Code CLI to handle complex coding tasks.

    858 GitHub stars~742 tokensUpdated 1 mo ago
    Auto-check passed
  • Building Screening Rubrics

    wentorai/Research-Claw

    Collaboratively build and refine paper screening rubrics through brainstorming, test-driven development, and iterative feedback

    858 GitHub starsUsed in 3 repos~4.5k tokens
    Auto-check passed
  • Codex CLI

    wentorai/Research-Claw

    Reference for using OpenAI Codex CLI to handle complex coding tasks.

    858 GitHub stars~684 tokensUpdated 1 mo ago
    Auto-check passed
  • Cleaning Up Research Sessions

    wentorai/Research-Claw

    Safely remove intermediate files from completed research sessions while preserving important data

    858 GitHub starsUsed in 3 repos~2.9k tokens
    Auto-check passed
  • Opencode CLI

    wentorai/Research-Claw

    Reference for using OpenCode CLI to handle complex coding tasks.

    858 GitHub stars~734 tokensUpdated 1 mo ago
    Auto-check: notes

Questions about Academic Deep Research

What does Academic Deep Research do?

Methodical research assistant for exhaustive investigations through systematic research cycles. Academic Deep Research is an agent skill from wentorai/Research-Claw. Methodical research assistant for exhaustive investigations through systematic research cycles.

When should I use Academic Deep Research?

Academic Deep Research fits situations like: tasks that involve Deep research; tasks that involve Competitor analysis; tasks that involve Literature review.

How do I install Academic Deep Research in Claude Code?

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

How do I install Academic Deep Research in Codex?

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

Can I use Academic 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 wentorai/Research-Claw --skill academic-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/academic-deep-research, .gemini/skills/academic-deep-research, .github/skills/academic-deep-research and .opencode/skills/academic-deep-research in your project.

What does Academic Deep Research need to run?

SKILL.md names no scripts, command-line tools or credentials: Academic Deep Research is instructions for the agent only.

Does Academic Deep Research access the network?

SKILL.md names 1 domain. In commands or code: doi.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Academic 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 Academic Deep Research use?

Academic 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 Academic 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.

What are the alternatives to Academic Deep Research?

Skills that share tags, products or a category with Academic Deep Research: Bmad Deep Recon (delorenj/mcp-server-trello, 445 stars), Interceptor Research (Hacker-Valley-Media/Interceptor, 522 stars), Deep Research (FreedomIntelligence/OpenClaw-Medical-Skills, 3.1k stars) and Academic Deep Research (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Academic Deep Research?

wentorai (a GitHub user) maintains it in wentorai/Research-Claw, which has 858 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on August 20, 2026.

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