Scientific Critical Thinking
weapp-tailwindcss/weapp-tailwindcss
Evaluate research rigor. An agent skill from weapp-tailwindcss/weapp-tailwindcss.
Run an end-to-end workflow that chains the skills refine-research and experiment-design.
Install Experiment Design Pipeline
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add GRIND-Lab-Core/night_owl_research_agent --skill experiment-design-pipeline -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install GRIND-Lab-Core/night_owl_research_agent experiment-design-pipeline --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/GRIND-Lab-Core/night_owl_research_agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/experiment-design-pipeline .claude/skills/experiment-design-pipeline && 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 "experiment-design-pipeline" agent skill from https://github.com/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/experiment-design-pipeline into .claude/skills/experiment-design-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-design-pipeline", 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/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/experiment-design-pipelineType 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 GRIND-Lab-Core/night_owl_research_agent --skill experiment-design-pipeline -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install GRIND-Lab-Core/night_owl_research_agent experiment-design-pipeline --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GRIND-Lab-Core/night_owl_research_agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/experiment-design-pipeline .agents/skills/experiment-design-pipeline && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "experiment-design-pipeline" agent skill from https://github.com/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/experiment-design-pipeline into .agents/skills/experiment-design-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-design-pipeline", 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 GRIND-Lab-Core/night_owl_research_agent --skill experiment-design-pipeline -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install GRIND-Lab-Core/night_owl_research_agent experiment-design-pipeline --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GRIND-Lab-Core/night_owl_research_agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/experiment-design-pipeline .cursor/skills/experiment-design-pipeline && 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 "experiment-design-pipeline" agent skill from https://github.com/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/experiment-design-pipeline into .cursor/skills/experiment-design-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-design-pipeline", 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/GRIND-Lab-Core/night_owl_research_agent.git --path skills/experiment-design-pipeline--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 GRIND-Lab-Core/night_owl_research_agent --skill experiment-design-pipeline -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install GRIND-Lab-Core/night_owl_research_agent experiment-design-pipeline --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GRIND-Lab-Core/night_owl_research_agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/experiment-design-pipeline .gemini/skills/experiment-design-pipeline && 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 "experiment-design-pipeline" agent skill from https://github.com/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/experiment-design-pipeline into .gemini/skills/experiment-design-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-design-pipeline", 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 GRIND-Lab-Core/night_owl_research_agent experiment-design-pipelineInstalls 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 GRIND-Lab-Core/night_owl_research_agent --skill experiment-design-pipeline -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/GRIND-Lab-Core/night_owl_research_agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/experiment-design-pipeline .github/skills/experiment-design-pipeline && 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 "experiment-design-pipeline" agent skill from https://github.com/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/experiment-design-pipeline into .github/skills/experiment-design-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-design-pipeline", 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 GRIND-Lab-Core/night_owl_research_agent --skill experiment-design-pipeline -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install GRIND-Lab-Core/night_owl_research_agent experiment-design-pipeline --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GRIND-Lab-Core/night_owl_research_agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/experiment-design-pipeline .opencode/skills/experiment-design-pipeline && 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 "experiment-design-pipeline" agent skill from https://github.com/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/experiment-design-pipeline into .opencode/skills/experiment-design-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-design-pipeline", 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
experiment-design-pipeline- GitHub stars
- 106
- Token cost
- ~2.1k tokens
- SKILL.md length
- 838 words
- Files
- 1
- Skills in repo
- 19
- Repo updated
- First seen
- Licence
- None found
At a glance
Run an end-to-end workflow that chains the skills refine-research and experiment-design.
- Works in 6 steps: Triage the Starting Point → Method Refinement Stage → Planning Gate → …
- The user wants a one-shot pipeline from vague research direction to focused final proposal plus detailed experiment roadmap
- SKILL.md covers Overview, Core Rule, Default Outputs and Workflow, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Experiment Design Pipeline is an agent skill from GRIND-Lab-Core/night_owl_research_agent. Run an end-to-end workflow that chains the skills refine-research and experiment-design. Use when the user wants a one-shot pipeline from vague research direction to focused final proposal plus detailed experiment roadmap, or asks to build a pipeline, do it end-to-end, or generate both the method and experiment plan together.
Its SKILL.md is about 2.1k 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 Experimental design. The repository describes itself as: Fully automatic AI research agent for Geoscientists, Remote Sensing researchers, and GIScientists. Features harness engineering, GeoBenchmark (OLS/GWR/MGWR), journal templates…
When your agent uses it
- The user wants a one-shot pipeline from vague research direction to focused final proposal plus detailed experiment roadmap
- Asks to build a pipeline
- Do it end-to-end
- Generate both the method and experiment plan together
Example prompts
- “/experiment-design-pipeline”
Requirements
- Pre-approved tools (allowed-tools): Bash(*), Read, Write, Edit, Grep, Glob, WebSearch, WebFetch, Agent
Workflow steps
6 steps, taken from the step headings in SKILL.md.
- Triage the Starting Point
- Method Refinement Stage
- Planning Gate
- Experiment Planning Stage
- Integration Summary
- Present a Brief Summary to the User
What it can do on your machine
Read from SKILL.md and the folder at commit 5f7a246. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
Bash(*)ReadWriteEditGrepGlobWebSearchWebFetchAgent
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
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
Experiment Design Pipeline loads about 2.1k tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 838 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: warnings
The automated check found patterns that need a careful read before installing.
- WarningTells the agent its actions are pre-authorized / not to stop for confirmationSKILL.md:198
t << 'EOF' > file`) to write in chunks. Do NOT ask the user for permission — just do it silently. - NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Bash(*), Read, Write, Edit, Grep, Glob, WebSearch, WebFetch, Agent
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
Without a licence we can't republish the file, so here is its outline and opening line. It has 838 words (~2,126 tokens).
- name
- experiment-design-pipeline
- allowed-tools
- Bash(*), Read, Write, Edit, Grep, Glob, WebSearch, WebFetch, Agent
- argument-hint
- topic-or-scope
Files
Just SKILL.md in skills/experiment-design-pipeline of GRIND-Lab-Core/night_owl_research_agent.
Open the folder on GitHubat commit 5f7a246
Compare with similar skills
Experiment Design Pipeline 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 |
|---|---|---|---|---|---|---|
| Experiment Design Pipeline this skillGRIND-Lab-Core/night_owl_research_agent | 106 | — | ~2.1k | Automated safety check: Warn | None | |
| Scientific Critical Thinkingweapp-tailwindcss/weapp-tailwindcss | 1.9k | 22 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Benchmark Paper TemplateHKUSTDial/Supervisor-Skills | 8.8k | — | ~2.8k | Automated safety check: Pass | CC-BY-4.0 | |
| Claim-Driven Experiment PlannerzjYao36/Auto-Research-Refine | 128 | 6 repos | ~2.3k | Automated safety check: Notes | None | |
| Research Refine PipelinezjYao36/Auto-Research-Refine | 128 | 5 repos | ~1.4k | Automated safety check: Notes | None | |
| Metabolic Study Planneraiming-lab/AutoResearchClaw | 15k | — | ~1.9k | Automated safety check: Pass | MIT |
Similar skills
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.
Claim-Driven Experiment Planner
zjYao36/Auto-Research-Refine
Turns a refined research proposal into a claim-to-evidence-to-run-order roadmap instead of a sprawling benchmark wishlist.
Research Refine Pipeline
zjYao36/Auto-Research-Refine
Chains research-refine and experiment-plan to turn a vague research direction into a focused proposal and a claim-driven experiment roadmap.
Metabolic Study Planner
aiming-lab/AutoResearchClaw
Turns a broad metabolic modelling topic into a concrete, paper-shaped plan with organism, model, perturbations, metrics and figures before any FBA code is written.
Analytical Method Validation Planner
K-Dense-AI/scientific-agent-skills
Plans, runs, and documents analytical method validation, verification, or transfer studies under ICH Q2(R2)/Q14, USP, ICH M10, CLSI EP, or ISO/IEC 17025.
More from GRIND-Lab-Core/night_owl_research_agent
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Experiment Design
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Turn a refined GIScience / remote sensing / spatial data science proposal into a detailed, claim-driven experiment roadmap.
Generate Idea
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Data Download
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Discover, evaluate, and download publicly available datasets from the internet.
Paper Writing Pipeline
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Related
Categories
Questions about Experiment Design Pipeline
What does Experiment Design Pipeline do?
Run an end-to-end workflow that chains the skills refine-research and experiment-design. Experiment Design Pipeline is an agent skill from GRIND-Lab-Core/night_owl_research_agent. Run an end-to-end workflow that chains the skills refine-research and experiment-design.
When should I use Experiment Design Pipeline?
Experiment Design Pipeline fits situations like: the user wants a one-shot pipeline from vague research direction to focused final proposal plus detailed experiment roadmap; asks to build a pipeline; do it end-to-end; generate both the method and experiment plan together.
How do I install Experiment Design Pipeline in Claude Code?
Run `npx skills add GRIND-Lab-Core/night_owl_research_agent --skill experiment-design-pipeline -a claude-code`. Or copy the skill folder (skills/experiment-design-pipeline in GRIND-Lab-Core/night_owl_research_agent) into .claude/skills/experiment-design-pipeline in your project. Claude Code loads it when a task matches its description.
How do I install Experiment Design Pipeline in Codex?
Run `npx skills add GRIND-Lab-Core/night_owl_research_agent --skill experiment-design-pipeline -a codex`. Or copy the skill folder (skills/experiment-design-pipeline in GRIND-Lab-Core/night_owl_research_agent) into .agents/skills/experiment-design-pipeline in your project. Codex loads it when a task matches its description.
Can I use Experiment Design Pipeline 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 GRIND-Lab-Core/night_owl_research_agent --skill experiment-design-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/experiment-design-pipeline, .gemini/skills/experiment-design-pipeline, .github/skills/experiment-design-pipeline and .opencode/skills/experiment-design-pipeline in your project.
What does Experiment Design Pipeline need to run?
SKILL.md names no scripts, command-line tools or credentials: Experiment Design Pipeline is instructions for the agent only. Its frontmatter pre-approves these tools: Bash(*), Read, Write, Edit, Grep, Glob, WebSearch, WebFetch, Agent.
Does Experiment Design Pipeline 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 Experiment Design Pipeline safe to install?
Our automated static check of SKILL.md flagged 1 warning(s): tells the agent its actions are pre-authorized / not to stop for confirmation. Read the flagged lines before installing; the check is not a guarantee either way.
What licence does Experiment Design Pipeline use?
No licence was found for Experiment Design Pipeline or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Experiment Design Pipeline use?
About 2.1k tokens (SKILL.md is roughly 8.5k 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 Experiment Design Pipeline?
Skills that share tags, products or a category with Experiment Design Pipeline: Scientific Critical Thinking (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars), Benchmark Paper Template (HKUSTDial/Supervisor-Skills, 8.8k stars), Claim-Driven Experiment Planner (zjYao36/Auto-Research-Refine, 128 stars) and Research Refine Pipeline (zjYao36/Auto-Research-Refine, 128 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Experiment Design Pipeline?
GRIND-Lab-Core (a GitHub organization) maintains it in GRIND-Lab-Core/night_owl_research_agent, which has 106 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on May 6, 2026.
Source: GRIND-Lab-Core/night_owl_research_agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.