Analyze
brycewang-stanford/Auto-Empirical-Research-Skills
Confirmatory hypothesis testing matched to pre-registration, with full assumption testing, effect sizes, confidence intervals, and APA 7th formatted output.
Analyze scenario/vignette experiment datasets for behavioral research.
Install Scenario Experiment Analysis
$ npx skills add Drchronx/ai-agent-research-starter-kit --skill scenario-experiment-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Drchronx/ai-agent-research-starter-kit scenario-experiment-analysis --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/Drchronx/ai-agent-research-starter-kit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'本地Skills功能分类库/10_情景实验与行为研究Skills/scenario-experiment-analysis' .claude/skills/scenario-experiment-analysis && 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 "scenario-experiment-analysis" agent skill from https://github.com/Drchronx/ai-agent-research-starter-kit/tree/main/%E6%9C%AC%E5%9C%B0Skills%E5%8A%9F%E8%83%BD%E5%88%86%E7%B1%BB%E5%BA%93/10_%E6%83%85%E6%99%AF%E5%AE%9E%E9%AA%8C%E4%B8%8E%E8%A1%8C%E4%B8%BA%E7%A0%94%E7%A9%B6Skills/scenario-experiment-analysis into .claude/skills/scenario-experiment-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-experiment-analysis", 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/Drchronx/ai-agent-research-starter-kit/tree/main/%E6%9C%AC%E5%9C%B0Skills%E5%8A%9F%E8%83%BD%E5%88%86%E7%B1%BB%E5%BA%93/10_%E6%83%85%E6%99%AF%E5%AE%9E%E9%AA%8C%E4%B8%8E%E8%A1%8C%E4%B8%BA%E7%A0%94%E7%A9%B6Skills/scenario-experiment-analysisType 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 Drchronx/ai-agent-research-starter-kit --skill scenario-experiment-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Drchronx/ai-agent-research-starter-kit scenario-experiment-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Drchronx/ai-agent-research-starter-kit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/'本地Skills功能分类库/10_情景实验与行为研究Skills/scenario-experiment-analysis' .agents/skills/scenario-experiment-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "scenario-experiment-analysis" agent skill from https://github.com/Drchronx/ai-agent-research-starter-kit/tree/main/%E6%9C%AC%E5%9C%B0Skills%E5%8A%9F%E8%83%BD%E5%88%86%E7%B1%BB%E5%BA%93/10_%E6%83%85%E6%99%AF%E5%AE%9E%E9%AA%8C%E4%B8%8E%E8%A1%8C%E4%B8%BA%E7%A0%94%E7%A9%B6Skills/scenario-experiment-analysis into .agents/skills/scenario-experiment-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-experiment-analysis", 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 Drchronx/ai-agent-research-starter-kit --skill scenario-experiment-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Drchronx/ai-agent-research-starter-kit scenario-experiment-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Drchronx/ai-agent-research-starter-kit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/'本地Skills功能分类库/10_情景实验与行为研究Skills/scenario-experiment-analysis' .cursor/skills/scenario-experiment-analysis && 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 "scenario-experiment-analysis" agent skill from https://github.com/Drchronx/ai-agent-research-starter-kit/tree/main/%E6%9C%AC%E5%9C%B0Skills%E5%8A%9F%E8%83%BD%E5%88%86%E7%B1%BB%E5%BA%93/10_%E6%83%85%E6%99%AF%E5%AE%9E%E9%AA%8C%E4%B8%8E%E8%A1%8C%E4%B8%BA%E7%A0%94%E7%A9%B6Skills/scenario-experiment-analysis into .cursor/skills/scenario-experiment-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-experiment-analysis", 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/Drchronx/ai-agent-research-starter-kit.git --path '本地Skills功能分类库/10_情景实验与行为研究Skills/scenario-experiment-analysis'--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 Drchronx/ai-agent-research-starter-kit --skill scenario-experiment-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Drchronx/ai-agent-research-starter-kit scenario-experiment-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Drchronx/ai-agent-research-starter-kit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/'本地Skills功能分类库/10_情景实验与行为研究Skills/scenario-experiment-analysis' .gemini/skills/scenario-experiment-analysis && 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 "scenario-experiment-analysis" agent skill from https://github.com/Drchronx/ai-agent-research-starter-kit/tree/main/%E6%9C%AC%E5%9C%B0Skills%E5%8A%9F%E8%83%BD%E5%88%86%E7%B1%BB%E5%BA%93/10_%E6%83%85%E6%99%AF%E5%AE%9E%E9%AA%8C%E4%B8%8E%E8%A1%8C%E4%B8%BA%E7%A0%94%E7%A9%B6Skills/scenario-experiment-analysis into .gemini/skills/scenario-experiment-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-experiment-analysis", 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 Drchronx/ai-agent-research-starter-kit scenario-experiment-analysisInstalls 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 Drchronx/ai-agent-research-starter-kit --skill scenario-experiment-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Drchronx/ai-agent-research-starter-kit.git skills-src && mkdir -p .github/skills && cp -r skills-src/'本地Skills功能分类库/10_情景实验与行为研究Skills/scenario-experiment-analysis' .github/skills/scenario-experiment-analysis && 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 "scenario-experiment-analysis" agent skill from https://github.com/Drchronx/ai-agent-research-starter-kit/tree/main/%E6%9C%AC%E5%9C%B0Skills%E5%8A%9F%E8%83%BD%E5%88%86%E7%B1%BB%E5%BA%93/10_%E6%83%85%E6%99%AF%E5%AE%9E%E9%AA%8C%E4%B8%8E%E8%A1%8C%E4%B8%BA%E7%A0%94%E7%A9%B6Skills/scenario-experiment-analysis into .github/skills/scenario-experiment-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-experiment-analysis", 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 Drchronx/ai-agent-research-starter-kit --skill scenario-experiment-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Drchronx/ai-agent-research-starter-kit scenario-experiment-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Drchronx/ai-agent-research-starter-kit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/'本地Skills功能分类库/10_情景实验与行为研究Skills/scenario-experiment-analysis' .opencode/skills/scenario-experiment-analysis && 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 "scenario-experiment-analysis" agent skill from https://github.com/Drchronx/ai-agent-research-starter-kit/tree/main/%E6%9C%AC%E5%9C%B0Skills%E5%8A%9F%E8%83%BD%E5%88%86%E7%B1%BB%E5%BA%93/10_%E6%83%85%E6%99%AF%E5%AE%9E%E9%AA%8C%E4%B8%8E%E8%A1%8C%E4%B8%BA%E7%A0%94%E7%A9%B6Skills/scenario-experiment-analysis into .opencode/skills/scenario-experiment-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-experiment-analysis", 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
scenario-experiment-analysis- GitHub stars
- 135
- Token cost
- ~1.1k tokens
- SKILL.md length
- 397 words
- Files
- 4 (incl. scripts, references)
- Skills in repo
- 36
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Analyze scenario/vignette experiment datasets for behavioral research.
- Works in 10 steps: Data audit: rows, missingness,… → Exclusion report: preregistered rules… → Randomization check: demographics or… → …
- Manipulation checks
- SKILL.md covers Core Principle, Data Intake, Standard Analysis Order and Model Selection, plus 4 more sections
- Runs Python scripts from its folder; calls python
What it does
Scenario Experiment Analysis is an agent skill from Drchronx/ai-agent-research-starter-kit. Analyze scenario/vignette experiment datasets for behavioral research. Use for 情景实验数据分析, manipulation checks, randomization checks, exclusion rules, reliability, ANOVA/ANCOVA, regression, mediation, moderation, moderated mediation, simple slopes, bootstrap indirect effects, effect sizes, exact p-values, robustness checks, and top-journal-style results tables for JCR, JCP, JM, JMR, ISR, MISQ, JAP, OBHDP, JPSP, Psychological Science, UTD24, FT50, and AJG/ABS4-oriented manuscripts.
Its SKILL.md is about 1.1k 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 `agents/openai.yaml`, `references/analysis-plan.md` and `scripts/analyze_scenario_experiment.py`).
It sits in Data & Analytics, covering Statistics and Dispute resolution. The repository describes itself as: AI Agent 科研全流程教学包，能教学生从零部署 Codex、Claude Code、OpenClaw、Hermes 等 Agent，学会使用 Skills、飞书、AMiner、AI4Scholar、Zotero、Obsidian…
When your agent uses it
- Manipulation checks
- Randomization checks
- Exclusion rules
- Moderated mediation
Example prompts
- “/scenario-experiment-analysis”
Requirements
- Python 3
Workflow steps
10 steps, taken from the first numbered list in SKILL.md.
- Data audit: rows, missingness, duplicates, duration, impossible values.
- Exclusion report: preregistered rules first, then sensitivity with/without exclusions.
- Randomization check: demographics or baseline variables by condition.
- Manipulation check: treatment should move the perceived construct.
- Reliability: Cronbach's alpha or composite reliability for multi-item scales.
- Primary model: ANOVA/regression/ANCOVA as planned.
- Effect size: Cohen's d, eta-squared/partial eta-squared, standardized beta, odds ratio, or marginal effect.
- Mechanism: mediation or moderated mediation when theory requires it.
- Robustness: alternative coding, covariates, nonparametric/sensitivity checks.
- Report: estimates, standard errors, confidence intervals, exact p-values, effect sizes.
What it can do on your machine
Read from SKILL.md and the folder at commit aab1133. 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 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
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
Scenario Experiment Analysis loads about 1.1k tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 128 tokens; SKILL.md has 397 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); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 397 words (~1,065 tokens).
“Use this skill when the user has scenario experiment data or wants an analysis plan.”
- name
- scenario-experiment-analysis
Files
SKILL.md and 3 other files (scripts, references) in 本地Skills功能分类库/10_情景实验与行为研究Skills/scenario-experiment-analysis of Drchronx/ai-agent-research-starter-kit.
- SKILL.md
- agents/openai.yaml
- references/analysis-plan.md
- scripts/analyze_scenario_experiment.py
Open the folder on GitHubat commit aab1133
Compare with similar skills
Scenario Experiment Analysis 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 |
|---|---|---|---|---|---|---|
| Scenario Experiment Analysis this skillDrchronx/ai-agent-research-starter-kit | 135 | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| Analyzebrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Commres Data Analysisbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Devpsych Data Analysisbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Jcp Data Analysisbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Jedpsych Data Analysisbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~2k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Scenario Experiment Analysis
What does Scenario Experiment Analysis do?
Analyze scenario/vignette experiment datasets for behavioral research. Scenario Experiment Analysis is an agent skill from Drchronx/ai-agent-research-starter-kit. Analyze scenario/vignette experiment datasets for behavioral research.
When should I use Scenario Experiment Analysis?
Scenario Experiment Analysis fits situations like: manipulation checks; randomization checks; exclusion rules; moderated mediation.
How do I install Scenario Experiment Analysis in Claude Code?
Run `npx skills add Drchronx/ai-agent-research-starter-kit --skill scenario-experiment-analysis -a claude-code`. Or copy the skill folder (本地Skills功能分类库/10_情景实验与行为研究Skills/scenario-experiment-analysis in Drchronx/ai-agent-research-starter-kit) into .claude/skills/scenario-experiment-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Scenario Experiment Analysis in Codex?
Run `npx skills add Drchronx/ai-agent-research-starter-kit --skill scenario-experiment-analysis -a codex`. Or copy the skill folder (本地Skills功能分类库/10_情景实验与行为研究Skills/scenario-experiment-analysis in Drchronx/ai-agent-research-starter-kit) into .agents/skills/scenario-experiment-analysis in your project. Codex loads it when a task matches its description.
Can I use Scenario Experiment Analysis 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 Drchronx/ai-agent-research-starter-kit --skill scenario-experiment-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scenario-experiment-analysis, .gemini/skills/scenario-experiment-analysis, .github/skills/scenario-experiment-analysis and .opencode/skills/scenario-experiment-analysis in your project.
What does Scenario Experiment Analysis need to run?
Going by SKILL.md and its folder, Scenario Experiment Analysis needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Scenario Experiment Analysis 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 Scenario Experiment Analysis 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Scenario Experiment Analysis use?
Scenario Experiment Analysis has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Scenario Experiment Analysis use?
About 1.1k tokens (SKILL.md is roughly 4.3k 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 273 tokens, read only when the agent opens those files.
What are the alternatives to Scenario Experiment Analysis?
Skills that share tags, products or a category with Scenario Experiment Analysis: Analyze (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars), Commres Data Analysis (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars), Devpsych Data Analysis (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars) and Jcp Data Analysis (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Scenario Experiment Analysis?
Drchronx (a GitHub user) maintains it in Drchronx/ai-agent-research-starter-kit, which has 135 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on May 19, 2026.
Source: Drchronx/ai-agent-research-starter-kit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.