Excel and CSV Data Analysis
bytedance/deer-flow
Analyzes uploaded Excel and CSV files with SQL through DuckDB, producing schema inspections, statistical summaries and exports to CSV, JSON or Markdown.
Data analysis workflow: ingest, validate quality, explore, analyze, report.
Install Data Analysis
$ npx skills add spytensor/openmozi --skill data-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install spytensor/openmozi 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/spytensor/openmozi.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/data-analysis .claude/skills/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 "data-analysis" agent skill from https://github.com/spytensor/openmozi/tree/main/skills/data-analysis into .claude/skills/data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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/spytensor/openmozi/tree/main/skills/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 spytensor/openmozi --skill data-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install spytensor/openmozi data-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/spytensor/openmozi.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/data-analysis .agents/skills/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 "data-analysis" agent skill from https://github.com/spytensor/openmozi/tree/main/skills/data-analysis into .agents/skills/data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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 spytensor/openmozi --skill data-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install spytensor/openmozi data-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/spytensor/openmozi.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/data-analysis .cursor/skills/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 "data-analysis" agent skill from https://github.com/spytensor/openmozi/tree/main/skills/data-analysis into .cursor/skills/data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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/spytensor/openmozi.git --path skills/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 spytensor/openmozi --skill data-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install spytensor/openmozi data-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/spytensor/openmozi.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/data-analysis .gemini/skills/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 "data-analysis" agent skill from https://github.com/spytensor/openmozi/tree/main/skills/data-analysis into .gemini/skills/data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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 spytensor/openmozi 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 spytensor/openmozi --skill data-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/spytensor/openmozi.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/data-analysis .github/skills/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 "data-analysis" agent skill from https://github.com/spytensor/openmozi/tree/main/skills/data-analysis into .github/skills/data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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 spytensor/openmozi --skill 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 spytensor/openmozi data-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/spytensor/openmozi.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/data-analysis .opencode/skills/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 "data-analysis" agent skill from https://github.com/spytensor/openmozi/tree/main/skills/data-analysis into .opencode/skills/data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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
data-analysis- GitHub stars
- 439
- Token cost
- ~535 tokens
- SKILL.md length
- 150 words
- Files
- 1
- Skills in repo
- 13
- Repo updated
- First seen
- Licence
- MIT
At a glance
Data analysis workflow: ingest, validate quality, explore, analyze, report.
- Works in 5 steps: Ingest: Read the data source (CSV, JSON,… → Validate: Check for missing values,… → Explore: Compute basic statistics… → …
- The user provides
- SKILL.md covers How to Execute, Rules and Pitfalls
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Data Analysis is an agent skill from spytensor/openmozi. Data analysis workflow: ingest, validate quality, explore, analyze, report. Use when the user provides or references datasets (CSV, JSON, SQL, spreadsheets) or asks for statistics, aggregation, correlation, or chart generation.
Its SKILL.md is about 540 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, Excel spreadsheets and Statistics. It works with SQL. The repository describes itself as: A custom Agent OS built to be hackable, heavily inspired by OpenClaw. The licence is MIT.
When your agent uses it
- The user provides
- References datasets (CSV
- Asks for statistics
- Chart generation
Example prompts
- “/data-analysis”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Ingest: Read the data source (CSV, JSON, database, API). Confirm format and size.
- Validate: Check for missing values, outliers, type mismatches. Report data quality issues.
- Explore: Compute basic statistics (count, mean, median, distribution). Identify patterns.
- Analyze: Apply the requested analysis (correlation, aggregation, filtering, comparison).
- Report: Present findings with clear summaries. Generate charts/visualizations if requested.
What it can do on your machine
Read from SKILL.md and the folder at commit ac46df0. 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
Data Analysis loads about 535 tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 150 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
The full file from spytensor/openmozi at commit ac46df0, republished under its MIT licence (© spytensor). 150 words, ~535 tokens.
Download SKILL.mdSave it as
.claude/skills/data-analysis/SKILL.md (or your agent's skills folder).- name
- data-analysis
- description
- Data analysis workflow: ingest, validate quality, explore, analyze, report. Use when the user provides or references datasets (CSV, JSON, SQL, spreadsheets) or asks for statistics, aggregation, correlation, or chart generation.
- version
- 1.0.0
- category
- utility
- user-invocable
- true
- metadata.priority
- 60
Data Analysis Workflow
How to Execute
- Ingest: Read the data source (CSV, JSON, database, API). Confirm format and size.
- Validate: Check for missing values, outliers, type mismatches. Report data quality issues.
- Explore: Compute basic statistics (count, mean, median, distribution). Identify patterns.
- Analyze: Apply the requested analysis (correlation, aggregation, filtering, comparison).
- Report: Present findings with clear summaries. Generate charts/visualizations if requested.
Rules
- Always inspect the data before analyzing — never assume structure.
- Report data quality issues (nulls, duplicates, outliers) before drawing conclusions.
- Use shell_exec with Python (pandas, matplotlib) for large datasets or complex analysis.
- Show your methodology: what you computed, which columns, what filters.
- Present numbers with appropriate precision (don't show 15 decimal places).
Pitfalls
- Analyzing without first inspecting the data shape and quality
- Drawing conclusions from data with unaddressed quality issues
- Showing raw numbers without context or interpretation
- Not specifying units or time periods for metrics
© spytensor, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/data-analysis of spytensor/openmozi.
Open the folder on GitHubat commit ac46df0
Compare with similar skills
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 |
|---|---|---|---|---|---|---|
| Data Analysis this skillspytensor/openmozi | 439 | — | ~535 | Automated safety check: Pass | MIT | |
| Excel and CSV Data Analysisbytedance/deer-flow | 83k | 4 repos | ~2.2k | Automated safety check: Pass | MIT | |
| CSV Data Analysis5zjk5/prompt-engineering | 127 | — | ~2.6k | Automated safety check: Pass | None | |
| Data AnalysisHezaoHezao/poirot | 250 | — | ~997 | Automated safety check: Pass | MIT | |
| Data Analystborghei/Claude-Skills | 874 | — | ~3.1k | Automated safety check: Pass | MIT | |
| Find Hypertable Candidatestimescale/pg-aiguide | 1.9k | 1 repos | ~2.6k | Automated safety check: Pass | Apache-2.0 |
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Categories
Questions about Data Analysis
What does Data Analysis do?
Data analysis workflow: ingest, validate quality, explore, analyze, report. Data Analysis is an agent skill from spytensor/openmozi. Data analysis workflow: ingest, validate quality, explore, analyze, report.
When should I use Data Analysis?
Data Analysis fits situations like: the user provides; references datasets (CSV; asks for statistics; chart generation.
How do I install Data Analysis in Claude Code?
Run `npx skills add spytensor/openmozi --skill data-analysis -a claude-code`. Or copy the skill folder (skills/data-analysis in spytensor/openmozi) into .claude/skills/data-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Data Analysis in Codex?
Run `npx skills add spytensor/openmozi --skill data-analysis -a codex`. Or copy the skill folder (skills/data-analysis in spytensor/openmozi) into .agents/skills/data-analysis in your project. Codex loads it when a task matches its description.
Can I use 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 spytensor/openmozi --skill 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/data-analysis, .gemini/skills/data-analysis, .github/skills/data-analysis and .opencode/skills/data-analysis in your project.
What does Data Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Data Analysis is instructions for the agent only. Our summary lists: Python 3.
Does 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 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 Data Analysis use?
Data Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Data Analysis use?
About 535 tokens (SKILL.md is roughly 2.1k 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 Data Analysis?
Skills that share tags, products or a category with Data Analysis: Excel and CSV Data Analysis (bytedance/deer-flow, 83k stars), CSV Data Analysis (5zjk5/prompt-engineering, 127 stars), Data Analysis (HezaoHezao/poirot, 250 stars) and Data Analyst (borghei/Claude-Skills, 874 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Data Analysis?
spytensor (a GitHub user) maintains it in spytensor/openmozi, which has 439 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on August 7, 2026.
Source: spytensor/openmozi on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.