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…
Methodical research assistant for exhaustive investigations through systematic research cycles.
$ npx skills add wentorai/Research-Claw --skill academic-deep-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wentorai/Research-Claw academic-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/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-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 "academic-deep-research" agent skill from https://github.com/wentorai/Research-Claw/tree/main/skills/academic-deep-research into .claude/skills/academic-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "academic-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/wentorai/Research-Claw/tree/main/skills/academic-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 wentorai/Research-Claw --skill academic-deep-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wentorai/Research-Claw academic-deep-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/Research-Claw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/academic-deep-research .agents/skills/academic-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 "academic-deep-research" agent skill from https://github.com/wentorai/Research-Claw/tree/main/skills/academic-deep-research into .agents/skills/academic-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "academic-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 wentorai/Research-Claw --skill academic-deep-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wentorai/Research-Claw academic-deep-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/Research-Claw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/academic-deep-research .cursor/skills/academic-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 "academic-deep-research" agent skill from https://github.com/wentorai/Research-Claw/tree/main/skills/academic-deep-research into .cursor/skills/academic-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "academic-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/wentorai/Research-Claw.git --path skills/academic-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 wentorai/Research-Claw --skill academic-deep-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wentorai/Research-Claw academic-deep-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/Research-Claw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/academic-deep-research .gemini/skills/academic-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 "academic-deep-research" agent skill from https://github.com/wentorai/Research-Claw/tree/main/skills/academic-deep-research into .gemini/skills/academic-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "academic-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 wentorai/Research-Claw academic-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 wentorai/Research-Claw --skill academic-deep-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/wentorai/Research-Claw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/academic-deep-research .github/skills/academic-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 "academic-deep-research" agent skill from https://github.com/wentorai/Research-Claw/tree/main/skills/academic-deep-research into .github/skills/academic-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "academic-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 wentorai/Research-Claw --skill academic-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 wentorai/Research-Claw academic-deep-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/Research-Claw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/academic-deep-research .opencode/skills/academic-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 "academic-deep-research" agent skill from https://github.com/wentorai/Research-Claw/tree/main/skills/academic-deep-research into .opencode/skills/academic-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "academic-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.
academic-deep-researchMethodical 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. 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?
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 5015be7. It shows what the files ask for, not the result of running them.
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.
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.
Hosts in commands or code, which the agent is likely to contact:
doi.orgFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
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.”
Just SKILL.md in skills/academic-deep-research of wentorai/Research-Claw.
Open the folder on GitHubat commit 5015be7
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Academic Deep Research this skillwentorai/Research-Claw | 858 | — | ~5.7k | Automated safety check: Pass | Custom licence | |
| Bmad Deep Recondelorenj/mcp-server-trello | 445 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Interceptor ResearchHacker-Valley-Media/Interceptor | 522 | — | ~3.8k | Automated safety check: Pass | Custom licence | |
| Deep ResearchFreedomIntelligence/OpenClaw-Medical-Skills | 3.1k | 1 repos | ~1.1k | Automated safety check: Pass | None | |
| Academic Deep ResearchLeoYeAI/openclaw-master-skills | 2.2k | 2 repos | ~6k | Automated safety check: Pass | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT |
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…
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…
FreedomIntelligence/OpenClaw-Medical-Skills
Execute autonomous multi-step deep research on any topic. An agent skill from FreedomIntelligence/OpenClaw-Medical-Skills.
LeoYeAI/openclaw-master-skills
Transparent, rigorous research with full methodology — not a black-box API wrapper.
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.
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.
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.
wentorai/Research-Claw
Reference for using Claude Code CLI to handle complex coding tasks.
wentorai/Research-Claw
Collaboratively build and refine paper screening rubrics through brainstorming, test-driven development, and iterative feedback
wentorai/Research-Claw
Reference for using OpenAI Codex CLI to handle complex coding tasks.
wentorai/Research-Claw
Safely remove intermediate files from completed research sessions while preserving important data
wentorai/Research-Claw
Reference for using OpenCode CLI to handle complex coding tasks.
Categories
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.
Academic Deep Research fits situations like: tasks that involve Deep research; tasks that involve Competitor analysis; tasks that involve Literature review.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Academic Deep Research is instructions for the agent only.
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.
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.
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.
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.
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.
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.