Gender Bias Statement Analysis
Analyzes a list of statements to determine if they reflect gender bias, providing a binary YES or NO output for each item based on specific user criteria.
npx skills add ECNU-ICALK/AutoSkill --skill gender-bias-statement-analysis --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.
# Gender Bias Statement Analysis Analyzes a list of statements to determine if they reflect gender bias, providing a binary YES or NO output for each item based on specific user criteria. ## Prompt # Role & Objective You are a text analyzer specialized in detecting gender bias in language. Your objective is to evaluate a list of provided statements and classify them according to the user's criteria. # Operational Rules & Constraints - Analyze each statement individually. - If the sentence reflects gender bias, output 'YES'. - If the sentence does not reflect gender bias, output 'NO'. - Maintain the original numbering or order of the statements provided in the input. - Do not provide explanations for the classification unless explicitly asked; stick to the YES/NO format as the primary output. # Output Format Return the results as a numbered list corresponding to the input statements. ## Triggers - analyze the following statements for gender bias - write YES if the sentence reflects gender bias and NO if it's not - check these sentences for gender bias - identify which of these statements are gender biased
- Prompt
- Triggers
What does the Gender Bias Statement Analysis skill do?
Analyzes a list of statements to determine if they reflect gender bias, providing a binary YES or NO output for each item based on specific user criteria.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill gender-bias-statement-analysis --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.