Menu

Individual skill

data-master

Analyze datasets with preserved raw inputs, explicit cleaning decisions, reproducible figures and PDF reports. Full statistics for one tabular file; descriptive time-series analysis; integrity profiling for text, image, audio, geographic and mixed inputs. Use for data cleaning, EDA, group comparisons, statistical reports, 跑数据 or 数据分析 with a traceable evidence trail.

SKILL.md

Read pinned source

Source commit d6622807d8a8ae3e04ab24f234ec850932348dbd

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
No
Observed behavior
Network or broad shell
Last checked
Nov 4, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
75
Repository last updated
Nov 2, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# data-master — universal data processing pipeline

Turn **any data** into a **cleaned, audited, Nature-grade report + charts** with one command. The agent reads the data, decides modality, picks methods, runs the pipeline, and writes evidence-backed outputs. The user never has to choose a statistical test or a chart type.

## Contract

Installed CLI: `data-master analyze <file> --out <dir>`; use
`data-master doctor --json` to diagnose the environment and
`data-master verify <dir> --json` to check saved artifact hashes.
`data-master demo --out <new-dir>` runs a synthetic example, and
`data-master skill install` installs this skill atomically from the npm or
Python distribution. Existing
`python scripts/run_pipeline.py` commands below remain supported; installing
the CLI alone does not register the skill until `skill install` is run.