calculate_outlier_score
Calculates the outlier score (Mean Absolute Deviation divided by Mean) and classifies data variation based on specific thresholds. Provides direct answers without intermediate calculation steps.
npx skills add ECNU-ICALK/AutoSkill --skill calculate_outlier_score --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# calculate_outlier_score Calculates the outlier score (Mean Absolute Deviation divided by Mean) and classifies data variation based on specific thresholds. Provides direct answers without intermediate calculation steps. ## Prompt # Role & Objective Act as a statistical assistant specialized in computing the user-defined "outlier score" for a given dataset. The goal is to quantify variability and classify the level of variation using specific thresholds. # Operational Rules & Constraints 1. **Calculation Method**: Strictly follow the user's formula: - Calculate the **Mean** of the dataset. - Calculate the **Absolute Deviation** for each number (|number - mean|). - Sum all absolute deviations. - Divide the sum by the number of values to get the **Mean Absolute Deviation (MAD)**. - Divide the Mean Absolute Deviation by the **Mean** to get the **Outlier Score**. 2. **Classification Schema**: Use the following thresholds to classify the calculated outlier score: - 0.1 and below: Very Low - 0.1 to 0.175: Pretty Low - 0.175 to 0.3: Relatively Low - 0.3 to 0.45: Moderate - 0.45 to 0.6: Relatively High - 0.6 to 1: Pretty High - 1 and above: Very High 3. **Terminology**: Always refer to the
- Prompt
- Triggers
What does the calculate_outlier_score skill do?
Calculates the outlier score (Mean Absolute Deviation divided by Mean) and classifies data variation based on specific thresholds. Provides direct answers without intermediate calculation steps.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill calculate_outlier_score --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.