Data Scientist
magnus919/hermes-profiles
PhD-level expertise in data science, statistics, and machine learning.
Turn a refined GIScience / remote sensing / spatial data science proposal into a detailed, claim-driven experiment roadmap.
Install Experiment Design
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 -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install GRIND-Lab-Core/night_owl_research_agent experiment-design --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 .claude/skills/experiment-design && 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" agent skill from https://github.com/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/experiment-design into .claude/skills/experiment-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-design", 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-designType 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 -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install GRIND-Lab-Core/night_owl_research_agent experiment-design --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 .agents/skills/experiment-design && 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" agent skill from https://github.com/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/experiment-design into .agents/skills/experiment-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-design", 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 -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install GRIND-Lab-Core/night_owl_research_agent experiment-design --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 .cursor/skills/experiment-design && 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" agent skill from https://github.com/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/experiment-design into .cursor/skills/experiment-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-design", 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--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 -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 --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 .gemini/skills/experiment-design && 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" agent skill from https://github.com/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/experiment-design into .gemini/skills/experiment-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-design", 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-designInstalls 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 -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 .github/skills/experiment-design && 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" agent skill from https://github.com/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/experiment-design into .github/skills/experiment-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-design", 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 -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 --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 .opencode/skills/experiment-design && 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" agent skill from https://github.com/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/experiment-design into .opencode/skills/experiment-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-design", 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- GitHub stars
- 106
- Token cost
- ~3.3k tokens
- SKILL.md length
- 1,404 words
- Files
- 1
- Skills in repo
- 19
- Repo updated
- First seen
- Licence
- None found
At a glance
Turn a refined GIScience / remote sensing / spatial data science proposal into a detailed, claim-driven experiment roadmap.
- Works in 7 steps: Load the Proposal Context → Freeze the Paper Claims → Build the Experimental Storyline → …
- Asks for a detailed experiment plan
- SKILL.md covers Overview, Constants, Workflow and Key Rules, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Experiment Design is an agent skill from GRIND-Lab-Core/night_owl_research_agent. Turn a refined GIScience / remote sensing / spatial data science proposal into a detailed, claim-driven experiment roadmap. Use after refine-research, or when the user asks for a detailed experiment plan, ablation matrix, spatial evaluation protocol, run order, compute budget, or paper-ready validation that supports the core problem, novelty, simplicity, and contribution.
Its SKILL.md is about 3.3k 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 and Geospatial analysis. 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
- Asks for a detailed experiment plan
- Ablation matrix
- Spatial evaluation protocol
- Paper-ready validation that supports the core problem
Example prompts
- “/experiment-design”
Requirements
- Pre-approved tools (allowed-tools): Bash(*), Read, Write, Edit, Grep, Glob, WebSearch, WebFetch, Agent
Workflow steps
7 steps, taken from the step headings in SKILL.md.
- Load the Proposal Context
- Freeze the Paper Claims
- Build the Experimental Storyline
- Specify Each Experiment Block
- Turn the Plan Into an Execution Order
- 5: Human Checkpoint — Data Synthesis
- Write the Outputs
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 loads about 3.3k tokens when it runs. Until then it costs about 99 tokens; SKILL.md has 1,404 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:243
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 1,404 words (~3,258 tokens).
- name
- experiment-design
- allowed-tools
- Bash(*), Read, Write, Edit, Grep, Glob, WebSearch, WebFetch, Agent
- argument-hint
- topic-or-scope
Files
Just SKILL.md in skills/experiment-design of GRIND-Lab-Core/night_owl_research_agent.
Open the folder on GitHubat commit 5f7a246
Compare with similar skills
Experiment Design 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 this skillGRIND-Lab-Core/night_owl_research_agent | 106 | — | ~3.3k | Automated safety check: Warn | None | |
| Data Scientistmagnus919/hermes-profiles | 281 | — | ~3.3k | Automated safety check: Pass | MIT | |
| Scenario Experiment Benchmark MiningDrchronx/ai-agent-research-starter-kit | 135 | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| Data Scientistmagnus919/agent-skills | 113 | — | ~4.1k | Automated safety check: Pass | MIT | |
| Light Experiment CodingLight0305/Light-skills | 641 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Statistical PowerK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~4.4k | Automated safety check: Notes | MIT |
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Mine and synthesize real top-journal scenario/vignette experiment patterns for behavioral research.
Data Scientist
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A skill your agent uses for PhD-level expertise in data science, statistics, and machine learning: rigorous statistical analysis, experimental design, causal inference, advanced modeling, research…
Light Experiment Coding
Light0305/Light-skills
Builds the code for a frozen research experiment test-first, with leakage controls, seed handling and saved evidence so results can be rerun and audited.
Statistical Power
K-Dense-AI/scientific-agent-skills
Calculates sample sizes and statistical power for study planning.
Algo Rank Wilson
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Calculate Wilson Score confidence intervals for ranking items by positive proportion with sample size correction.
More from GRIND-Lab-Core/night_owl_research_agent
All 19 skills in this repoResearch Review
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Get a deep critical review of research idea from GPT via Codex MCP.
Deploy Experiment
GRIND-Lab-Core/night_owl_research_agent
Deploy and run experiments for ML/DL training (local, remote, or Modal GPU) AND spatial data science / GIScience experiments (local, data-driven).
Experiment Design Pipeline
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Run an end-to-end workflow that chains the skills refine-research and experiment-design.
Generate Idea
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Generate and rank research ideas given a broad direction. An agent skill from GRIND-Lab-Core/night_owl_research_agent.
Data Download
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Discover, evaluate, and download publicly available datasets from the internet.
Paper Writing Pipeline
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Full paper writing pipeline. An agent skill from GRIND-Lab-Core/night_owl_research_agent.
Related
Categories
Questions about Experiment Design
What does Experiment Design do?
Turn a refined GIScience / remote sensing / spatial data science proposal into a detailed, claim-driven experiment roadmap. Experiment Design is an agent skill from GRIND-Lab-Core/night_owl_research_agent. Turn a refined GIScience / remote sensing / spatial data science proposal into a detailed, claim-driven experiment roadmap.
When should I use Experiment Design?
Experiment Design fits situations like: asks for a detailed experiment plan; ablation matrix; spatial evaluation protocol; paper-ready validation that supports the core problem.
How do I install Experiment Design in Claude Code?
Run `npx skills add GRIND-Lab-Core/night_owl_research_agent --skill experiment-design -a claude-code`. Or copy the skill folder (skills/experiment-design in GRIND-Lab-Core/night_owl_research_agent) into .claude/skills/experiment-design in your project. Claude Code loads it when a task matches its description.
How do I install Experiment Design in Codex?
Run `npx skills add GRIND-Lab-Core/night_owl_research_agent --skill experiment-design -a codex`. Or copy the skill folder (skills/experiment-design in GRIND-Lab-Core/night_owl_research_agent) into .agents/skills/experiment-design in your project. Codex loads it when a task matches its description.
Can I use Experiment Design 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 -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, .gemini/skills/experiment-design, .github/skills/experiment-design and .opencode/skills/experiment-design in your project.
What does Experiment Design need to run?
SKILL.md names no scripts, command-line tools or credentials: Experiment Design is instructions for the agent only. Its frontmatter pre-approves these tools: Bash(*), Read, Write, Edit, Grep, Glob, WebSearch, WebFetch, Agent.
Does Experiment Design 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 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 use?
No licence was found for Experiment Design or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Experiment Design use?
About 3.3k tokens (SKILL.md is roughly 13k 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?
Skills that share tags, products or a category with Experiment Design: Data Scientist (magnus919/hermes-profiles, 281 stars), Scenario Experiment Benchmark Mining (Drchronx/ai-agent-research-starter-kit, 135 stars), Data Scientist (magnus919/agent-skills, 113 stars) and Light Experiment Coding (Light0305/Light-skills, 641 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Experiment Design?
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.