Agent skill

Data Analyzer

by vixues in vixues/LeAgent

Guidance for analyzing structured data, generating statistics and producing data-driven insights.

Apache-2.0Auto-check passedData & Analytics

Install Data Analyzer

skills CLI
$ npx skills add vixues/LeAgent --skill data-analyzer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install vixues/LeAgent data-analyzer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/vixues/LeAgent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/backend/leagent/skills/builtin/data-analyzer .claude/skills/data-analyzer && rm -rf skills-src

Use ~/.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/

Facts

Skill name
data-analyzer
GitHub stars
232
Used in
1 other repo
Token cost
~481 tokens
SKILL.md length
184 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
Apache-2.0

At a glance

Guidance for analyzing structured data, generating statistics and producing data-driven insights.

  • Works in 5 steps: Understand the data: identify columns,… → Clean the data: handle missing values,… → Analyze: compute relevant statistics… → …
  • The user asks to analyze data
  • SKILL.md covers Analysis Workflow, Statistical Methods, Output Formats and Best Practices
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Data Analyzer is an agent skill from vixues/LeAgent. Guidance for analyzing structured data, generating statistics and producing data-driven insights. Use when the user asks to analyze data, compute statistics, find patterns, or generate analytical reports.

Its SKILL.md is about 480 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, Statistics and Schema markup. The repository describes itself as: Open-source desktop AI agent that gets work done — plans & self-corrects, agentic visual workflows, generative UI, and 100+ offline tools in one self-hostable stack. The licence is Apache-2.0.

When your agent uses it

  • The user asks to analyze data
  • Compute statistics
  • Generate analytical reports

Example prompts

  • “/data-analyzer”

Requirements

  • Pre-approved tools (allowed-tools): data_extractor, rule_matcher, document_parser

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Understand the data: identify columns, types, ranges, and any quality issues.
  2. Clean the data: handle missing values, outliers, and format inconsistencies.
  3. Analyze: compute relevant statistics (counts, sums, averages, distributions).
  4. Compare: when multiple datasets or time periods exist, provide comparative analysis.
  5. Summarize: present findings clearly with key metrics highlighted.

What it can do on your machine

Read from SKILL.md and the folder at commit 1f16bad. 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:

    • data_extractor
    • rule_matcher
    • document_parser

    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 Analyzer loads about 481 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 184 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~481

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 vixues/LeAgent at commit 1f16bad, republished under its Apache-2.0 licence (© vixues). 184 words, ~481 tokens.

Download SKILL.mdSave it as .claude/skills/data-analyzer/SKILL.md (or your agent's skills folder).
name
data-analyzer
description
Guidance for analyzing structured data, generating statistics and producing data-driven insights. Use when the user asks to analyze data, compute statistics, find patterns, or generate analytical reports.
allowed-tools
data_extractor, rule_matcher, document_parser
license
Apache-2.0
metadata.version
1.0.0
metadata.category
data
metadata.tags
data, analysis, statistics, report, insights

Data Analysis

You are assisting with data analysis tasks. Follow these guidelines.

Analysis Workflow

  1. Understand the data: identify columns, types, ranges, and any quality issues.
  2. Clean the data: handle missing values, outliers, and format inconsistencies.
  3. Analyze: compute relevant statistics (counts, sums, averages, distributions).
  4. Compare: when multiple datasets or time periods exist, provide comparative analysis.
  5. Summarize: present findings clearly with key metrics highlighted.

Statistical Methods

  • Use descriptive statistics (mean, median, mode, std dev) as a baseline.
  • Identify trends and patterns — year-over-year, month-over-month, category breakdowns.
  • Flag outliers and anomalies with context about their potential significance.
  • For comparisons, compute both absolute and percentage differences.

Output Formats

  • Summary: Concise paragraph with key findings and numbers.
  • Table: Structured tabular format for detailed breakdowns.
  • Report: Sectioned report with executive summary, methodology, findings, and recommendations.

Best Practices

  • Always state the sample size and time range of the data being analyzed.
  • Round numbers appropriately for readability (2 decimal places for percentages).
  • When making comparisons, ensure the baseline and comparison period are clear.
  • Distinguish between correlation and causation in findings.
  • Provide actionable recommendations when the analysis supports them.

© vixues, Apache-2.0. 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 backend/leagent/skills/builtin/data-analyzer of vixues/LeAgent.

Open the folder on GitHubat commit 1f16bad

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 vixues/LeAgent, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Data Analyzer 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.

Data Analyzer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Data Analyzer this skillvixues/LeAgent2321 repos~481Automated safety check: PassApache-2.0
MatlabzLanqing/codex-claude-academic-skills4.6k9 repos~2.3kAutomated safety check: NotesGPL-3.0
Eqtl Catalogue Region FetchClawBio/ClawBio1.2k1 repos~4.3kAutomated safety check: PassMIT
CSV Data Analysis5zjk5/prompt-engineering127—~2.6kAutomated safety check: PassNone
Meridian MMM Model Buildinggoogle/meridian1.6k—~2.5kAutomated safety check: PassApache-2.0
Gwas Catalog Region FetchClawBio/ClawBio1.2k1 repos~3.5kAutomated safety check: PassMIT

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Questions about Data Analyzer

What does Data Analyzer do?

Guidance for analyzing structured data, generating statistics and producing data-driven insights. Data Analyzer is an agent skill from vixues/LeAgent. Guidance for analyzing structured data, generating statistics and producing data-driven insights.

When should I use Data Analyzer?

Data Analyzer fits situations like: the user asks to analyze data; compute statistics; generate analytical reports.

How do I install Data Analyzer in Claude Code?

Run `npx skills add vixues/LeAgent --skill data-analyzer -a claude-code`. Or copy the skill folder (backend/leagent/skills/builtin/data-analyzer in vixues/LeAgent) into .claude/skills/data-analyzer in your project. Claude Code loads it when a task matches its description.

How do I install Data Analyzer in Codex?

Run `npx skills add vixues/LeAgent --skill data-analyzer -a codex`. Or copy the skill folder (backend/leagent/skills/builtin/data-analyzer in vixues/LeAgent) into .agents/skills/data-analyzer in your project. Codex loads it when a task matches its description.

Can I use Data Analyzer 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 vixues/LeAgent --skill data-analyzer -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-analyzer, .gemini/skills/data-analyzer, .github/skills/data-analyzer and .opencode/skills/data-analyzer in your project.

What does Data Analyzer need to run?

SKILL.md names no scripts, command-line tools or credentials: Data Analyzer is instructions for the agent only. Its frontmatter pre-approves these tools: data_extractor, rule_matcher, document_parser.

Does Data Analyzer 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 Analyzer 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 Analyzer use?

Data Analyzer is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Data Analyzer use?

About 481 tokens (SKILL.md is roughly 1.9k 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 Analyzer?

Skills that share tags, products or a category with Data Analyzer: Matlab (zLanqing/codex-claude-academic-skills, 4.6k stars), Eqtl Catalogue Region Fetch (ClawBio/ClawBio, 1.2k stars), CSV Data Analysis (5zjk5/prompt-engineering, 127 stars) and Meridian MMM Model Building (google/meridian, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Data Analyzer?

vixues (a GitHub user) maintains it in vixues/LeAgent, which has 232 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on August 11, 2026.

Source: vixues/LeAgent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.