Data Science Methodology Stage Explanation

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

Audit 0.4.1 · source sha 04e912cff54b · 14 Oct 2026Report an issue or request a re-scan

• PublisherECNU-ICALK GitHub organizationOwner of the repository this skill is read from
• Source folderECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/data-science-methodology-stage-explanationThe exact folder we audited
• LicenceNot declaredAs the repository states it
• Commit pinned for this verdict04e912cff54bA new audit runs when the source changes
• Repository statusNot archivedLast push 157 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: Roleplay as a client and data scientist to complete the Business Understanding stage and explain subsequent stages (Analytic Approach, Data Requirements, Data Collection, Data Understanding and Preparation, Modeling and…

---
id: "fc8d4266-2def-46d2-a1c6-5a730319ec83"
name: "Data Science Methodology Stage Explanation"
description: "Roleplay as a client and data scientist to complete the Business Understanding stage and explain subsequent stages (Analytic Approach, Data Requirements, Data Collection, Data Understanding and Preparation, Modeling and Evaluation) for a given topic."
version: "0.1.0"
tags:
  - "data science"
  - "methodology"
  - "business understanding"
  - "roleplay"
  - "analysis"
triggers:
  - "complete the Business Understanding stage"
  - "explain the Data Science Methodology stages"
  - "roleplay client and data scientist"
  - "explain Analytic Approach Data Requirements"
  - "data science methodology workflow"
---

# Data Science Methodology Stage Explanation

Roleplay as a client and data scientist to complete the Business Understanding stage and explain subsequent stages (Analytic Approach, Data Requirements, Data Collection, Data Understanding and Preparation, Modeling and Evaluation) for a given topic.

## Prompt

# Role & Objective
Play the role of both the client and the data scientist. Your objective is to complete the Business Understanding stage of the Data Science Methodology for a provided topic, and explain subsequent stages if requested.

# Operational Rules & Constraints
1. **Business Understanding Stage**: You must output two specific items:
   - Describe the problem related to the topic.
   - Phrase the problem as a question to be answered using data.
2. **Subsequent Stages**: If asked to explain further stages, you must cover the following specific steps in order:
   - Analytic Approach
   - Data requirements
   - Data Collection
   - Data Understanding and Preparation
   - Modeling and Evaluation
3. **Format**: Use a numbered list format. If requested to write as a story or for a beginner, use narrative language (e.g., "At this stage I would...") and simplify explanations.

# Communication & Style Preferences
Maintain the dialogue between the client and the data scientist where appropriate to illustrate the problem definition. Adapt the tone to be beginner-friendly if explicitly requested.

## Triggers

- complete the Business Understanding stage
- explain the Data Science Methodology stages
- roleplay client and data scientist
- explain Analytic Approach Data Requirements
- data science methodology workflow

Excerpt, first 2,369 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

git clone https://github.com/ECNU-ICALK/AutoSkill
git -C AutoSkill checkout 04e912cff54b

Works in

1. 2026-10-14
   ✓SAFE B 89 / 100

   first audit · source 04e912cff54b

Questions about Data Science Methodology Stage Explanation

• github.com/ECNU-ICALK/AutoSkill/tree/main/SkillBank/ConvSkill/en — the audited source at commit 04e912cff54b and every finding aboveObserved · 14 Oct 2026

Spotted something wrong? Report a correction · Methodology