Benchmark Paper Template
HKUSTDial/Supervisor-Skills
Structures benchmark and evaluation papers around five pillars, with a completeness audit, an Introduction logic chain, a section skeleton and a pre-submission checklist.
Research-method workflow guide for hypothesis framing, peer-review style critique, reproducibility planning, study-design checks, and scientific-writing structure.
Install Scientific Workflow Tools
$ npx skills add DrugClaw/DrugClaw --skill scientific-workflow-tools -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install DrugClaw/DrugClaw scientific-workflow-tools --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/DrugClaw/DrugClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/science/scientific-workflow-tools .claude/skills/scientific-workflow-tools && 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 "scientific-workflow-tools" agent skill from https://github.com/DrugClaw/DrugClaw/tree/main/skills/science/scientific-workflow-tools into .claude/skills/scientific-workflow-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-workflow-tools", 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/DrugClaw/DrugClaw/tree/main/skills/science/scientific-workflow-toolsType 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 DrugClaw/DrugClaw --skill scientific-workflow-tools -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install DrugClaw/DrugClaw scientific-workflow-tools --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DrugClaw/DrugClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/science/scientific-workflow-tools .agents/skills/scientific-workflow-tools && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "scientific-workflow-tools" agent skill from https://github.com/DrugClaw/DrugClaw/tree/main/skills/science/scientific-workflow-tools into .agents/skills/scientific-workflow-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-workflow-tools", 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 DrugClaw/DrugClaw --skill scientific-workflow-tools -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install DrugClaw/DrugClaw scientific-workflow-tools --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DrugClaw/DrugClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/science/scientific-workflow-tools .cursor/skills/scientific-workflow-tools && 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 "scientific-workflow-tools" agent skill from https://github.com/DrugClaw/DrugClaw/tree/main/skills/science/scientific-workflow-tools into .cursor/skills/scientific-workflow-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-workflow-tools", 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/DrugClaw/DrugClaw.git --path skills/science/scientific-workflow-tools--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 DrugClaw/DrugClaw --skill scientific-workflow-tools -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install DrugClaw/DrugClaw scientific-workflow-tools --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DrugClaw/DrugClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/science/scientific-workflow-tools .gemini/skills/scientific-workflow-tools && 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 "scientific-workflow-tools" agent skill from https://github.com/DrugClaw/DrugClaw/tree/main/skills/science/scientific-workflow-tools into .gemini/skills/scientific-workflow-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-workflow-tools", 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 DrugClaw/DrugClaw scientific-workflow-toolsInstalls 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 DrugClaw/DrugClaw --skill scientific-workflow-tools -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/DrugClaw/DrugClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/science/scientific-workflow-tools .github/skills/scientific-workflow-tools && 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 "scientific-workflow-tools" agent skill from https://github.com/DrugClaw/DrugClaw/tree/main/skills/science/scientific-workflow-tools into .github/skills/scientific-workflow-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-workflow-tools", 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 DrugClaw/DrugClaw --skill scientific-workflow-tools -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install DrugClaw/DrugClaw scientific-workflow-tools --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DrugClaw/DrugClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/science/scientific-workflow-tools .opencode/skills/scientific-workflow-tools && 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 "scientific-workflow-tools" agent skill from https://github.com/DrugClaw/DrugClaw/tree/main/skills/science/scientific-workflow-tools into .opencode/skills/scientific-workflow-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-workflow-tools", 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
scientific-workflow-tools- GitHub stars
- 126
- Token cost
- ~712 tokens
- SKILL.md length
- 259 words
- Files
- 2
- Skills in repo
- 25
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Research-method workflow guide for hypothesis framing, peer-review style critique, reproducibility planning, study-design checks, and scientific-writing structure.
- Works in 5 steps: Restate the research question, claim, or… → Separate what is observed from what is… → Enumerate methodological risks before… → …
- The user asks for manuscript critique
- SKILL.md covers Bundled Asset, Preferred Workflow, Reproducibility Checklist and Working Rules, plus 1 more section
- Runs Python scripts from its folder; calls python3
What it does
Scientific Workflow Tools is an agent skill from DrugClaw/DrugClaw. Research-method workflow guide for hypothesis framing, peer-review style critique, reproducibility planning, study-design checks, and scientific-writing structure. Use when the user asks for manuscript critique, research-gap framing, hypothesis generation, reproducibility checklists, or study-planning support that should stay on the research side rather than patient-care decisions.
Its SKILL.md is about 710 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `templates/reproducibility_checklist.py`).
It sits in Research & Science, covering Reproducible research, Hypothesis generation and Scientific writing. The repository describes itself as: 💊 AI Research Assistant for Accelerated Drug Discovery. 🦞. The licence is Apache-2.0.
When your agent uses it
- The user asks for manuscript critique
- Research-gap framing
- Hypothesis generation
- Reproducibility checklists
Example prompts
- “/scientific-workflow-tools”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Restate the research question, claim, or draft under review.
- Separate what is observed from what is inferred.
- Enumerate methodological risks before proposing fixes.
- Use the checklist template to create a durable artifact for reporting or project tracking.
- Keep outputs explicitly on the research side. Do not cross into patient-level diagnosis or treatment planning.
What it can do on your machine
Read from SKILL.md and the folder at commit 960a6e0. 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
Ships script files (Python), which the agent can run.
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
Scientific Workflow Tools loads about 712 tokens when it runs. Until then it costs about 103 tokens; SKILL.md has 259 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
The full file from DrugClaw/DrugClaw at commit 960a6e0, republished under its Apache-2.0 licence (© DrugClaw). 259 words, ~712 tokens.
Download SKILL.mdSave it as
.claude/skills/scientific-workflow-tools/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- scientific-workflow-tools
- description
- Research-method workflow guide for hypothesis framing, peer-review style critique, reproducibility planning, study-design checks, and scientific-writing structure. Use when the user asks for manuscript critique, research-gap framing, hypothesis generation, reproducibility checklists, or study-planning support that should stay on the research side rather than patient-care decisions.
- source
- drugclaw
- updated_at
- 2026-03-11
Scientific Workflow Tools
Use this skill when the user needs higher-level research method support rather than raw database lookup or computation.
Typical triggers:
- generate or compare mechanistic hypotheses from observations
- review a manuscript draft for rigor, missing controls, or overstated claims
- build a reproducibility checklist before submission or release
- structure a scientific report, review, or response-to-reviewers plan
- identify missing controls, statistical gaps, or reporting-standard issues
Bundled Asset
templates/reproducibility_checklist.py
Preferred Workflow
- Restate the research question, claim, or draft under review.
- Separate what is observed from what is inferred.
- Enumerate methodological risks before proposing fixes.
- Use the checklist template to create a durable artifact for reporting or project tracking.
- Keep outputs explicitly on the research side. Do not cross into patient-level diagnosis or treatment planning.
Reproducibility Checklist
python3 templates/reproducibility_checklist.py \
--profile omics \
--output research/omics_checklist.md \
--summary research/omics_checklist.jsonSupported baseline profiles:
generalomicsmlclinical-research
Use the generated checklist as a starting artifact, then tailor it to the exact study.
Working Rules
- Hypotheses should be testable and distinguish observation from mechanism.
- Peer-review style critique should prioritize reproducibility, controls, statistics, and claim scope.
- Scientific writing support should strengthen structure and rigor, not fabricate citations or results.
- Reporting-guideline and checklist outputs are planning artifacts, not proof that the study is compliant.
Related Skills
For literature search outputs and evidence tables, activate literature-review-tools.
For clinical-study design and reporting-guideline selection, activate clinical-research-tools.
For numerical statistical execution, activate stat-modeling-tools or survival-analysis-tools.
For experiment suggestion or bounded closed-loop optimization, activate bayesian-optimization-tools.
For figure generation, activate scientific-visualization-tools.
For bioinformatics, chemistry, or docking execution, activate the corresponding domain skill instead of keeping the task abstract.
© DrugClaw, 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
Files
SKILL.md and 1 other file in skills/science/scientific-workflow-tools of DrugClaw/DrugClaw.
- SKILL.md
- templates/reproducibility_checklist.py
Open the folder on GitHubat commit 960a6e0
Compare with similar skills
Scientific Workflow Tools 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 |
|---|---|---|---|---|---|---|
| Scientific Workflow Tools this skillDrugClaw/DrugClaw | 126 | — | ~712 | Automated safety check: Pass | Apache-2.0 | |
| Benchmark Paper TemplateHKUSTDial/Supervisor-Skills | 8.8k | — | ~2.8k | Automated safety check: Pass | CC-BY-4.0 | |
| Scholar Evaluationjimmc414/Kosmos | 595 | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| Academic Researchvoidful/academic-skills | 135 | — | ~887 | Automated safety check: Pass | MIT | |
| Icml Reviewersundial-org/skills | 153 | — | ~2.4k | Automated safety check: Pass | None | |
| Scientific Critical Thinkingjaechang-hits/SciAgent-Skills | 374 | 1 repos | ~4.7k | Automated safety check: Pass | CC-BY-4.0 |
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Related
Categories
Questions about Scientific Workflow Tools
What does Scientific Workflow Tools do?
Research-method workflow guide for hypothesis framing, peer-review style critique, reproducibility planning, study-design checks, and scientific-writing structure. Scientific Workflow Tools is an agent skill from DrugClaw/DrugClaw. Research-method workflow guide for hypothesis framing, peer-review style critique, reproducibility planning, study-design checks, and scientific-writing structure.
When should I use Scientific Workflow Tools?
Scientific Workflow Tools fits situations like: the user asks for manuscript critique; research-gap framing; hypothesis generation; reproducibility checklists.
How do I install Scientific Workflow Tools in Claude Code?
Run `npx skills add DrugClaw/DrugClaw --skill scientific-workflow-tools -a claude-code`. Or copy the skill folder (skills/science/scientific-workflow-tools in DrugClaw/DrugClaw) into .claude/skills/scientific-workflow-tools in your project. Claude Code loads it when a task matches its description.
How do I install Scientific Workflow Tools in Codex?
Run `npx skills add DrugClaw/DrugClaw --skill scientific-workflow-tools -a codex`. Or copy the skill folder (skills/science/scientific-workflow-tools in DrugClaw/DrugClaw) into .agents/skills/scientific-workflow-tools in your project. Codex loads it when a task matches its description.
Can I use Scientific Workflow Tools 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 DrugClaw/DrugClaw --skill scientific-workflow-tools -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scientific-workflow-tools, .gemini/skills/scientific-workflow-tools, .github/skills/scientific-workflow-tools and .opencode/skills/scientific-workflow-tools in your project.
What does Scientific Workflow Tools need to run?
Going by SKILL.md and its folder, Scientific Workflow Tools needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Scientific Workflow Tools 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 Scientific Workflow Tools 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 Scientific Workflow Tools use?
Scientific Workflow Tools 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.
How many tokens does Scientific Workflow Tools use?
About 712 tokens (SKILL.md is roughly 2.8k 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 Scientific Workflow Tools?
Skills that share tags, products or a category with Scientific Workflow Tools: Benchmark Paper Template (HKUSTDial/Supervisor-Skills, 8.8k stars), Scholar Evaluation (jimmc414/Kosmos, 595 stars), Academic Research (voidful/academic-skills, 135 stars) and Icml Reviewer (sundial-org/skills, 153 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Scientific Workflow Tools?
DrugClaw (a GitHub organization) maintains it in DrugClaw/DrugClaw, which has 126 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on March 23, 2026.
Source: DrugClaw/DrugClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.