Stats
brycewang-stanford/Auto-Empirical-Research-Skills
Econometrics skill for descriptive statistics and summary tables.
A skill your agent uses when estimating and validating the model for a Marketing Science manuscript — running structural estimation (GMM/MLE/SMM/Bayes), checking identification empirically…
Install Mksc Data Analysis
$ npx skills add franklee16/academic-research-skills --skill mksc-data-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install franklee16/academic-research-skills mksc-data-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/franklee16/academic-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Awesome-Journal-Skills-main/Marketing-Science-Skills/skills/mksc-data-analysis .claude/skills/mksc-data-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 "mksc-data-analysis" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Marketing-Science-Skills/skills/mksc-data-analysis into .claude/skills/mksc-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mksc-data-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/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Marketing-Science-Skills/skills/mksc-data-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 franklee16/academic-research-skills --skill mksc-data-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install franklee16/academic-research-skills mksc-data-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Awesome-Journal-Skills-main/Marketing-Science-Skills/skills/mksc-data-analysis .agents/skills/mksc-data-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 "mksc-data-analysis" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Marketing-Science-Skills/skills/mksc-data-analysis into .agents/skills/mksc-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mksc-data-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 franklee16/academic-research-skills --skill mksc-data-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install franklee16/academic-research-skills mksc-data-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Awesome-Journal-Skills-main/Marketing-Science-Skills/skills/mksc-data-analysis .cursor/skills/mksc-data-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 "mksc-data-analysis" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Marketing-Science-Skills/skills/mksc-data-analysis into .cursor/skills/mksc-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mksc-data-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/franklee16/academic-research-skills.git --path Awesome-Journal-Skills-main/Marketing-Science-Skills/skills/mksc-data-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 franklee16/academic-research-skills --skill mksc-data-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install franklee16/academic-research-skills mksc-data-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Awesome-Journal-Skills-main/Marketing-Science-Skills/skills/mksc-data-analysis .gemini/skills/mksc-data-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 "mksc-data-analysis" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Marketing-Science-Skills/skills/mksc-data-analysis into .gemini/skills/mksc-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mksc-data-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 franklee16/academic-research-skills mksc-data-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 franklee16/academic-research-skills --skill mksc-data-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Awesome-Journal-Skills-main/Marketing-Science-Skills/skills/mksc-data-analysis .github/skills/mksc-data-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 "mksc-data-analysis" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Marketing-Science-Skills/skills/mksc-data-analysis into .github/skills/mksc-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mksc-data-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 franklee16/academic-research-skills --skill mksc-data-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 franklee16/academic-research-skills mksc-data-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Awesome-Journal-Skills-main/Marketing-Science-Skills/skills/mksc-data-analysis .opencode/skills/mksc-data-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 "mksc-data-analysis" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Marketing-Science-Skills/skills/mksc-data-analysis into .opencode/skills/mksc-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mksc-data-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
mksc-data-analysis- GitHub stars
- 223
- Used in
- 1 other repo
- Token cost
- ~1.1k tokens
- SKILL.md length
- 414 words
- Files
- 1
- Skills in repo
- 1,616
- Repo updated
- First seen
- Licence
- None found
At a glance
A skill your agent uses when estimating and validating the model for a Marketing Science manuscript — running structural estimation (GMM/MLE/SMM/Bayes), checking identification empirically…
- Estimating and validating the model for a Marketing Science manuscript — running structural estimation (GMM/MLE/SMM/Bayes)
- SKILL.md covers When to trigger, Estimate, then prove…, Assess model fit before… and Counterfactuals are the payoff, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Checking identification empirically
What it does
Mksc Data Analysis is an agent skill from franklee16/academic-research-skills. Use when estimating and validating the model for a Marketing Science manuscript — running structural estimation (GMM/MLE/SMM/Bayes), checking identification empirically, assessing model fit, computing counterfactuals, and preparing the replication package. Executes the analysis; it does not design the model (mksc-theory-development) or choose the genre (mksc-methods).
Its SKILL.md is about 1.1k 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 Data & Analytics, covering Econometrics and empirical research and Data analysis. The repository describes itself as: Comprehensive collection of Claude Code skills for academic research in economics, finance, and social sciences.
When your agent uses it
- Estimating and validating the model for a Marketing Science manuscript — running structural estimation (GMM/MLE/SMM/Bayes)
- Checking identification empirically
- Assessing model fit
- Computing counterfactuals
Example prompts
- “/mksc-data-analysis”
What it can do on your machine
Read from SKILL.md and the folder at commit 9a4b2db. 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
No scripts in the folder and no shell commands in SKILL.md.
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
Mksc Data Analysis loads about 1.1k tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 414 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 414 words (~1,094 tokens).
“Per the Marketing Science Replication and Disclosure Policy, accepted papers submit data and estimation code sufficient for a peer to reproduce the essential content. For licensed data (NielsenIQ, Compustat, CRSP, Census), provide access instructions and the linking/build code rather than…”
- name
- mksc-data-analysis
Files
Just SKILL.md in Awesome-Journal-Skills-main/Marketing-Science-Skills/skills/mksc-data-analysis of franklee16/academic-research-skills.
Open the folder on GitHubat commit 9a4b2db
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in franklee16/academic-research-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Mksc Data 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 |
|---|---|---|---|---|---|---|
| Mksc Data Analysis this skillfranklee16/academic-research-skills | 223 | 1 repos | ~1.1k | Automated safety check: Pass | None | |
| Statsbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~2k | Automated safety check: Pass | Custom licence | |
| Analyzebrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~2.2k | Automated safety check: Notes | Custom licence | |
| Jams Data Analysisbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Python Econ Computingbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~7.9k | Automated safety check: Pass | Custom licence | |
| Two Sample Mr Exposure Screening Reference Groundedaipoch/medical-research-skills | 2k | — | ~4.5k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Mksc Data Analysis
What does Mksc Data Analysis do?
A skill your agent uses when estimating and validating the model for a Marketing Science manuscript — running structural estimation (GMM/MLE/SMM/Bayes), checking identification empirically…. Mksc Data Analysis is an agent skill from franklee16/academic-research-skills. Use when estimating and validating the model for a Marketing Science manuscript — running structural estimation (GMM/MLE/SMM/Bayes), checking identification empirically, assessing model fit, computing counterfactuals, and preparing the replication package.
When should I use Mksc Data Analysis?
Mksc Data Analysis fits situations like: estimating and validating the model for a Marketing Science manuscript — running structural estimation (GMM/MLE/SMM/Bayes); checking identification empirically; assessing model fit; computing counterfactuals.
How do I install Mksc Data Analysis in Claude Code?
Run `npx skills add franklee16/academic-research-skills --skill mksc-data-analysis -a claude-code`. Or copy the skill folder (Awesome-Journal-Skills-main/Marketing-Science-Skills/skills/mksc-data-analysis in franklee16/academic-research-skills) into .claude/skills/mksc-data-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Mksc Data Analysis in Codex?
Run `npx skills add franklee16/academic-research-skills --skill mksc-data-analysis -a codex`. Or copy the skill folder (Awesome-Journal-Skills-main/Marketing-Science-Skills/skills/mksc-data-analysis in franklee16/academic-research-skills) into .agents/skills/mksc-data-analysis in your project. Codex loads it when a task matches its description.
Can I use Mksc Data 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 franklee16/academic-research-skills --skill mksc-data-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/mksc-data-analysis, .gemini/skills/mksc-data-analysis, .github/skills/mksc-data-analysis and .opencode/skills/mksc-data-analysis in your project.
What does Mksc Data Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Mksc Data Analysis is instructions for the agent only.
Does Mksc Data 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 Mksc Data 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. Review the folder before installing.
What licence does Mksc Data Analysis use?
No licence was found for Mksc Data Analysis or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Mksc Data Analysis use?
About 1.1k tokens (SKILL.md is roughly 4.4k 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 Mksc Data Analysis?
Skills that share tags, products or a category with Mksc Data Analysis: Stats (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars), Analyze (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars), Jams Data Analysis (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars) and Python Econ Computing (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Mksc Data Analysis?
franklee16 (a GitHub user) maintains it in franklee16/academic-research-skills, which has 223 GitHub stars. The repository holds 1,616 skills in this directory. The repository was last updated on September 18, 2026.
Source: franklee16/academic-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.