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.
Generate comprehensive disease research reports using 100+ ToolUniverse tools.
$ npx skills add lamm-mit/scienceclaw --skill disease-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lamm-mit/scienceclaw disease-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/lamm-mit/scienceclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/disease-research .claude/skills/disease-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 "disease-research" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/disease-research into .claude/skills/disease-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "disease-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/lamm-mit/scienceclaw/tree/main/skills/disease-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 lamm-mit/scienceclaw --skill disease-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lamm-mit/scienceclaw disease-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/disease-research .agents/skills/disease-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 "disease-research" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/disease-research into .agents/skills/disease-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "disease-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 lamm-mit/scienceclaw --skill disease-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lamm-mit/scienceclaw disease-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/disease-research .cursor/skills/disease-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 "disease-research" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/disease-research into .cursor/skills/disease-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "disease-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/lamm-mit/scienceclaw.git --path skills/disease-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 lamm-mit/scienceclaw --skill disease-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lamm-mit/scienceclaw disease-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/disease-research .gemini/skills/disease-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 "disease-research" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/disease-research into .gemini/skills/disease-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "disease-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 lamm-mit/scienceclaw disease-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 lamm-mit/scienceclaw --skill disease-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/disease-research .github/skills/disease-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 "disease-research" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/disease-research into .github/skills/disease-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "disease-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 lamm-mit/scienceclaw --skill disease-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 lamm-mit/scienceclaw disease-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/disease-research .opencode/skills/disease-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 "disease-research" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/disease-research into .opencode/skills/disease-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "disease-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.
disease-researchGenerate comprehensive disease research reports using 100+ ToolUniverse tools.
Disease Research is an agent skill from lamm-mit/scienceclaw. Generate comprehensive disease research reports using 100+ ToolUniverse tools. The agent creates a detailed markdown report file and progressively updates it with findings from 10 research dimensions, with full source citations. Use when users ask about diseases, syndromes, or need systematic disease analysis.
Its SKILL.md is about 950 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/tool-reference.md` and `scripts/run.py`).
It sits in Research & Science, covering Deep research and Citation management. The licence is Apache-2.0.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit ab9aba1. 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.
Ships 2 files in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From 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.
Disease Research loads about 946 tokens when it runs, and up to ~5.2k if it reads all its reference files. Until then it costs about 82 tokens; SKILL.md has 370 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); the scripts in this folder are not scanned.
The full file from lamm-mit/scienceclaw at commit ab9aba1, republished under its Apache-2.0 licence (© lamm-mit). 370 words, ~946 tokens.
.claude/skills/disease-research/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.The agent generates a comprehensive, citation-backed disease research report by creating a markdown file and progressively updating it across 10 research dimensions.
IMPORTANT: The agent should always use English disease names and search terms in tool calls, even if the user writes in another language. Original-language terms should only be tried as a fallback if English returns no results. The agent responds in the user's language.
This skill applies when the user:
The agent should not show the search process to the user. Instead it follows this pattern:
{disease_name}_research_report.md with the full report template| # | Dimension | Key Focus |
|---|---|---|
| 1 | Disease Identity & Classification | EFO, ICD-10, UMLS, SNOMED identifiers; synonyms; disease hierarchy |
| 2 | Clinical Presentation | HPO phenotypes; symptoms and signs; diagnostic criteria |
| 3 | Genetic & Molecular Basis | Associated genes; GWAS associations; ClinVar pathogenic variants |
| 4 | Treatment Landscape | Approved drugs; clinical trials; treatment guidelines |
| 5 | Biological Pathways & Mechanisms | Reactome pathways; PPI networks; tissue expression |
| 6 | Epidemiology & Risk Factors | Prevalence; risk factors; GWAS studies |
| 7 | Literature & Research Activity | Publication trends; key papers; research institutions |
| 8 | Similar Diseases & Comorbidities | Disease similarity scores; shared genetic basis |
| 9 | Cancer-Specific Information | CIViC variants; molecular profiles; targeted therapies (if applicable) |
| 10 | Drug Safety & Adverse Events | Drug warnings; trial adverse events; FAERS data |
User: "Research Parkinson's disease"
Agent actions (internal, not shown to user):
1. Create "parkinsons_disease_research_report.md" with template
2. Research DIM 1 → Update Identity section
3. Research DIM 2 → Update Clinical section
4. ... continue for all 10 dimensions
5. Present final report to userEvery piece of data in the report must include its source tool. The agent should use source columns in tables, [Source: tool_name] annotations in lists, and parenthetical (Source: tool_name, query: ...) references in prose. A complete tool usage log belongs in the References section at the end of the report.
For the full report template, complete tool listings per dimension, implementation examples, citation format guide, and quality checklist, see references/tool-reference.md.
See TOOLS_REFERENCE.md for complete tool documentation. See EXAMPLES.md for sample reports.
© lamm-mit, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (scripts, references) in skills/disease-research of lamm-mit/scienceclaw.
Open the folder on GitHubat commit ab9aba1
Disease 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 |
|---|---|---|---|---|---|---|
| Disease Research this skilllamm-mit/scienceclaw | 244 | — | ~946 | Automated safety check: Pass | Apache-2.0 | |
| Deep Research WorkflowTokenRhythm/opensquilla | 7.1k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Academic Research Suite for CodexImbad0202/academic-research-skills-codex | 12k | — | ~12k | Automated safety check: Pass | Custom licence | |
| Deep Research Literature SurveyHKUSTDial/Supervisor-Skills | 8.7k | — | ~2.4k | Automated safety check: Pass | CC-BY-NC-SA-4.0 | |
| Parallel WebLeonChaoX/qinyan-academic-skills | 943 | 1 repos | ~2.9k | Automated safety check: Notes | MIT | |
| Live Researchbrightdata/skills | 264 | — | ~1.8k | Automated safety check: Pass | MIT |
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.
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.
HKUSTDial/Supervisor-Skills
Runs a survey-grade literature investigation: fixes the research questions, searches from adversarial angles, verifies citations and writes an evidence-first report.
LeonChaoX/qinyan-academic-skills
Search the web, extract URL content, and run deep research using the Parallel Chat API and Extract API.
brightdata/skills
Produce a deep, multi-source, cited research brief on a topic from live web data using Bright Data's Discover API (intent-ranked web search + parsed page content).
RightNow-AI/openfang
Reference knowledge for AI deep research: a five-phase process, strategies by question type, CRAAP source scoring, cross-referencing, synthesis and citation formats.
lamm-mit/scienceclaw
Query FRED (Federal Reserve Economic Data) API for 800,000+ economic time series from 100+ sources.
lamm-mit/scienceclaw
Generates comprehensive drug research reports with compound disambiguation, evidence grading, and mandatory completeness sections.
lamm-mit/scienceclaw
Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index.
lamm-mit/scienceclaw
Cloud-based quantum chemistry platform with Python API. An agent skill from lamm-mit/scienceclaw.
lamm-mit/scienceclaw
Create professional infographics using Nano Banana Pro AI with smart iterative refinement.
lamm-mit/scienceclaw
Computational molecular biology library (sequence I/O, alignment, phylogenetics).
Categories
Generate comprehensive disease research reports using 100+ ToolUniverse tools. Disease Research is an agent skill from lamm-mit/scienceclaw. Generate comprehensive disease research reports using 100+ ToolUniverse tools.
Disease Research fits situations like: users ask about diseases; need systematic disease analysis.
Run `npx skills add lamm-mit/scienceclaw --skill disease-research -a claude-code`. Or copy the skill folder (skills/disease-research in lamm-mit/scienceclaw) into .claude/skills/disease-research in your project. Claude Code loads it when a task matches its description.
Run `npx skills add lamm-mit/scienceclaw --skill disease-research -a codex`. Or copy the skill folder (skills/disease-research in lamm-mit/scienceclaw) into .agents/skills/disease-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 lamm-mit/scienceclaw --skill disease-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/disease-research, .gemini/skills/disease-research, .github/skills/disease-research and .opencode/skills/disease-research in your project.
Going by SKILL.md and its folder, Disease Research needs Python for the scripts in its folder. Our summary lists: Python 3.
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.
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.
Disease Research is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 946 tokens (SKILL.md is roughly 3.8k 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 4.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Disease Research: Deep Research Workflow (TokenRhythm/opensquilla, 7.1k stars), Academic Research Suite for Codex (Imbad0202/academic-research-skills-codex, 12k stars), Deep Research Literature Survey (HKUSTDial/Supervisor-Skills, 8.7k stars) and Parallel Web (LeonChaoX/qinyan-academic-skills, 943 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
lamm-mit (a GitHub user) maintains it in lamm-mit/scienceclaw, which has 244 GitHub stars. The repository holds 86 skills in this directory. The repository was last updated on August 21, 2026.
Source: lamm-mit/scienceclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.