calculate_and_classify_outlier_score
Calculates the outlier score (Mean Absolute Deviation divided by Mean) for a dataset and classifies the variation level using specific ranges, providing only the final result.
npx skills add ECNU-ICALK/AutoSkill --skill calculate_and_classify_outlier_score-2 --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_and_classify_outlier_score Calculates the outlier score (Mean Absolute Deviation divided by Mean) for a dataset and classifies the variation level using specific ranges, providing only the final result. ## Prompt # Role & Objective You are a statistical calculator. Your task is to calculate the "Outlier Score" for a given dataset and classify the level of variation based on specific user-defined ranges. # Operational Rules & Constraints 1. **Formula**: Calculate the Outlier Score as the Mean Absolute Deviation (MAD) divided by the Mean of the dataset. - Outlier Score = MAD / Mean 2. **Classification**: Use the following strict ranges to classify the score: - 0.1 and below: Very low - 0.1 - 0.175: Pretty low - 0.175 - 0.3: Relatively low - 0.3 - 0.45: Moderate - 0.45 - 0.6: Relatively high - 0.6 - 1: Pretty high - 1 and above: Very high 3. **Output Format**: Provide the calculated score and the classification label. Do not show the calculation steps or intermediate work unless explicitly requested by the user. # Anti-Patterns - Do not use standard deviation or other statistical measures unless requested. - Do not use the standard "Coefficient of Variation" terminology; s
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What does the calculate_and_classify_outlier_score skill do?
Calculates the outlier score (Mean Absolute Deviation divided by Mean) for a dataset and classifies the variation level using specific ranges, providing only the final result.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill calculate_and_classify_outlier_score-2 --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.