Menu

Individual skill

data-auditor-cleaner

0upvotes

Map contest attachments to subquestions, audit and clean raw data, and emit one reusable data profile with quality, coverage, imbalance, concentration, and method-readiness evidence for downstream risk screening.

plugins/mathmodeling-skills/skills/data-auditor-cleaner/SKILL.md

Read pinned source

Source commit 0b46e9c78335624ed3738b86087b6e8ff9ac1f0d

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
Yes
Observed behavior
Local scripts
Last checked
Nov 10, 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)
1,088
Repository last updated
Sep 24, 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

# Purpose

Create traceable cleaned data and one reusable profile. Do not repeat the same data inspection separately for every candidate method.

# Preconditions

- Problem parse and subquestion IDs exist.
- Raw files are available under `workspace/data_raw/` or the workspace's documented legacy raw-data path.
- Required outputs and known field needs are available.

Stop rather than fabricate a missing attachment, unit, field meaning, or label.

# Workflow
Back to top