Exploratory Data Analysis
spacering-net/codeg
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
A skill your agent uses when executing and reporting the analysis for a Social Forces (SF) manuscript so it survives expert, double-anonymized review — honest uncertainty, robustness, and…
Install Sf Data Analysis
$ npx skills add franklee16/academic-research-skills --skill sf-data-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install franklee16/academic-research-skills sf-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/Social-Forces-Skills/skills/sf-data-analysis .claude/skills/sf-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 "sf-data-analysis" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Social-Forces-Skills/skills/sf-data-analysis into .claude/skills/sf-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sf-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/Social-Forces-Skills/skills/sf-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 sf-data-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install franklee16/academic-research-skills sf-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/Social-Forces-Skills/skills/sf-data-analysis .agents/skills/sf-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 "sf-data-analysis" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Social-Forces-Skills/skills/sf-data-analysis into .agents/skills/sf-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sf-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 sf-data-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install franklee16/academic-research-skills sf-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/Social-Forces-Skills/skills/sf-data-analysis .cursor/skills/sf-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 "sf-data-analysis" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Social-Forces-Skills/skills/sf-data-analysis into .cursor/skills/sf-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sf-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/Social-Forces-Skills/skills/sf-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 sf-data-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install franklee16/academic-research-skills sf-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/Social-Forces-Skills/skills/sf-data-analysis .gemini/skills/sf-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 "sf-data-analysis" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Social-Forces-Skills/skills/sf-data-analysis into .gemini/skills/sf-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sf-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 sf-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 sf-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/Social-Forces-Skills/skills/sf-data-analysis .github/skills/sf-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 "sf-data-analysis" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Social-Forces-Skills/skills/sf-data-analysis into .github/skills/sf-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sf-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 sf-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 sf-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/Social-Forces-Skills/skills/sf-data-analysis .opencode/skills/sf-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 "sf-data-analysis" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Social-Forces-Skills/skills/sf-data-analysis into .opencode/skills/sf-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sf-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
sf-data-analysis- GitHub stars
- 223
- Used in
- 1 other repo
- Token cost
- ~1k tokens
- SKILL.md length
- 386 words
- Files
- 1
- Skills in repo
- 1,616
- Repo updated
- First seen
- Licence
- None found
At a glance
A skill your agent uses when executing and reporting the analysis for a Social Forces (SF) manuscript so it survives expert, double-anonymized review — honest uncertainty, robustness, and…
- Works in 6 steps: Report uncertainty honestly.… → Robustness that probes, not decorates.… → Heterogeneity with discipline.… → …
- Executing and reporting the analysis for a Social Forces (SF) manuscript so it survives expert
- SKILL.md covers When to trigger, Analysis norms SF expects, Demographic / computational /… and Reproducibility while you work…, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Sf Data Analysis is an agent skill from franklee16/academic-research-skills. Use when executing and reporting the analysis for a Social Forces (SF) manuscript so it survives expert, double-anonymized review — honest uncertainty, robustness, and triangulation appropriate to quantitative, demographic, network, or computational work. Guides analysis norms; it does not fabricate results.
Its SKILL.md is about 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 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
- Executing and reporting the analysis for a Social Forces (SF) manuscript so it survives expert
- Double-anonymized review — honest uncertainty
- Triangulation appropriate to quantitative
- Computational work
Example prompts
- “/sf-data-analysis”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Report uncertainty honestly. Confidence/credible intervals, not just stars; the magnitude and
- Robustness that probes, not decorates. Show specifications that could break the result
- Heterogeneity with discipline. Pre-specify subgroups where possible; correct for multiple
- Right inference. Cluster at the assignment/sampling level; use survey weights and design-based
- Measurement. Validate constructs; report reliability; show the result is not an artifact of a
- Missing data. Be explicit — multiple imputation or principled handling, not silent listwise
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
Sf Data Analysis loads about 1k tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 386 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 386 words (~1,013 tokens).
“Social Forces built its standing on methodological rigor, and its reviewers are sophisticated. The analysis must report uncertainty honestly, probe robustness that could actually break the result, and stay reproducible. This skill covers execution and reporting norms; design decisions live…”
- name
- sf-data-analysis
Files
Just SKILL.md in Awesome-Journal-Skills-main/Social-Forces-Skills/skills/sf-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
Sf 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 |
|---|---|---|---|---|---|---|
| Sf Data Analysis this skillfranklee16/academic-research-skills | 223 | 1 repos | ~1k | Automated safety check: Pass | None | |
| Exploratory Data Analysisspacering-net/codeg | 3.8k | 15 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Excel and CSV Data Analysisbytedance/deer-flow | 83k | 4 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Exploratory Data AnalysisOleafly/Oleafly | 206 | 3 repos | ~3.4k | Automated safety check: Notes | MIT | |
| Python Executorcortega26/chile-hub | 113 | 2 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Agentic Kaggle WorkflowFrankS-IntelLab/agentic-kaggle-skill | 188 | — | ~4k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Sf Data Analysis
What does Sf Data Analysis do?
A skill your agent uses when executing and reporting the analysis for a Social Forces (SF) manuscript so it survives expert, double-anonymized review — honest uncertainty, robustness, and…. Sf Data Analysis is an agent skill from franklee16/academic-research-skills. Use when executing and reporting the analysis for a Social Forces (SF) manuscript so it survives expert, double-anonymized review — honest uncertainty, robustness, and triangulation appropriate to quantitative, demographic, network, or computational work.
When should I use Sf Data Analysis?
Sf Data Analysis fits situations like: executing and reporting the analysis for a Social Forces (SF) manuscript so it survives expert; double-anonymized review — honest uncertainty; triangulation appropriate to quantitative; computational work.
How do I install Sf Data Analysis in Claude Code?
Run `npx skills add franklee16/academic-research-skills --skill sf-data-analysis -a claude-code`. Or copy the skill folder (Awesome-Journal-Skills-main/Social-Forces-Skills/skills/sf-data-analysis in franklee16/academic-research-skills) into .claude/skills/sf-data-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Sf Data Analysis in Codex?
Run `npx skills add franklee16/academic-research-skills --skill sf-data-analysis -a codex`. Or copy the skill folder (Awesome-Journal-Skills-main/Social-Forces-Skills/skills/sf-data-analysis in franklee16/academic-research-skills) into .agents/skills/sf-data-analysis in your project. Codex loads it when a task matches its description.
Can I use Sf 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 sf-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/sf-data-analysis, .gemini/skills/sf-data-analysis, .github/skills/sf-data-analysis and .opencode/skills/sf-data-analysis in your project.
What does Sf Data Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Sf Data Analysis is instructions for the agent only.
Does Sf 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 Sf 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 Sf Data Analysis use?
No licence was found for Sf Data Analysis or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Sf Data Analysis use?
About 1k tokens (SKILL.md is roughly 4.1k 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 Sf Data Analysis?
Skills that share tags, products or a category with Sf Data Analysis: Exploratory Data Analysis (spacering-net/codeg, 3.8k stars), Excel and CSV Data Analysis (bytedance/deer-flow, 83k stars), Exploratory Data Analysis (Oleafly/Oleafly, 206 stars) and Python Executor (cortega26/chile-hub, 113 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sf 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.