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Agent Skill · 研究检索

curriculum-review-bias(课程审核偏差)

curriculum-review-bias 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

curriculum-review-bias 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 69,087。

总安装 220周安装 9GitHub Stars 1下载 71核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:curriculum-review-bias(课程审核偏差)
来源仓库:https://github.com/pauljbernard/content
仓库路径:skills/curriculum-review-bias
安装命令:
npx skills add https://github.com/pauljbernard/content --skill curriculum-review-bias
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/pauljbernard/content --skill curriculum-review-bias

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

curriculum-review-bias 用于识别课程材料中的偏见、刻板印象和文化假设问题。适用于审查教学内容公平性、优化语言表达和增强文化包容性。需输入待审材料和学生背景,系统将输出偏差检测结果和可替代方案。安装前建议确认权限范围、维护状态,以及是否会触发联网或文件读写。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/curriculum-review-bias

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/pauljbernard/content --skill curriculum-review…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

curriculum-review-bias 怎么安装?

在终端执行 npx skills add https://github.com/pauljbernard/content --skill curriculum-review-bias。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

curriculum-review-bias 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

curriculum-review-bias 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

curriculum-review-bias 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

curriculum-review-bias 用的人多吗?

公开数据是累计安装 220 次,近一周安装 9 次,下载 71 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

curriculum-review-bias 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
curriculum-review-bias

课程审核偏差 · 本页

2201只读MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Bias Detection & Inclusive Language Review

Analyze curriculum materials to identify bias, stereotypes, cultural assumptions, and barriers; recommend inclusive, equitable alternatives.

When to Use

  • Review content for bias and stereotypes
  • Check inclusive language use
  • Ensure cultural responsiveness
  • Validate equitable representation
  • Assess fairness in assessment items

Required Inputs

  • Curriculum Materials: Any content to review (lessons, assessments, multimedia)
  • Educational Level: K-5 through post-graduate
  • Student Demographics (optional): Known diversity characteristics

Workflow

1. Load Materials for Analysis

Read all content including:

  • Instructional text
  • Examples and scenarios
  • Assessment items
  • Images and media descriptions
  • Names and characters used

2. Scan for Bias Categories

Gender Bias:

  • ❌ Gender stereotypes (e.g., "nurses are women", "engineers are men")
  • ❌ Gendered language (e.g., "chairman", "mankind")
  • ❌ Assuming binary gender
  • ❌ Unequal representation in examples
  • ✅ Gender-inclusive language ("chairperson", "humanity")
  • ✅ Balanced representation across genders

Racial/Ethnic Bias:

  • ❌ Stereotypical associations
  • ❌ Tokenism (single representative)
  • ❌ Cultural assumptions
  • ❌ Eurocentric perspectives only
  • ✅ Diverse representation
  • ✅ Multiple cultural perspectives
  • ✅ Respectful, accurate portrayals

Socioeconomic Bias:

  • ❌ Assuming resources/privilege (e.g., "have your parents drive you", "use your home computer")
  • ❌ Stigmatizing poverty
  • ❌ Examples only accessible to wealthy
  • ✅ Awareness of varied economic situations
  • ✅ Accessible alternatives provided

Ability Bias (Ableism):

  • ❌ Using disability as metaphor (e.g., "turn a blind eye", "fell on deaf ears")
  • ❌ Assuming physical abilities
  • ❌ Negative framing of disabilities
  • ✅ Person-first or identity-first language (contextually appropriate)
  • ✅ Disability included neutrally when relevant

Age Bias:

  • ❌ Stereotypes about age groups
  • ❌ Dismissive of any age
  • ✅ Age-appropriate without being patronizing
  • ✅ Respectful of all ages

Religious/Cultural Bias:

  • ❌ Assuming dominant religion
  • ❌ Religious holidays as universal
  • ❌ Cultural practices as "weird" or "exotic"
  • ✅ Secular examples or multi-faith
  • ✅ Cultural practices presented respectfully

Geographic Bias:

  • ❌ Urban-only or rural-only assumptions
  • ❌ US-centric examples (if international audience)
  • ❌ Assuming specific regional knowledge
  • ✅ Diverse geographic contexts
  • ✅ Explain regional references

Linguistic Bias:

  • ❌ Mocking non-standard dialects
  • ❌ Assuming English fluency
  • ❌ Complex idioms without explanation
  • ✅ Clear, accessible language
  • ✅ Support for multilingual learners

3. Analyze Representation

Count and assess:

Character/Example Diversity:

  • Names used: [Analyze cultural diversity]
  • Roles depicted: [Analyze who does what]
  • Authority figures: [Who holds power/expertise]
  • Problem-solvers: [Who finds solutions]

Target: No single group always in leadership, expertise, or success roles; No single group always needing help or failing

4. Review Assessment Items for Fairness

Check each item for:

  • Cultural Load: Does success require specific cultural knowledge unrelated to the objective?
  • Language Barriers: Is unnecessary complex vocabulary used?
  • Scenario Bias: Do examples disadvantage specific groups?
  • Stereotype Threat: Could wording trigger identity-based anxiety?

5. Generate Bias Review Report

# Bias & Inclusivity Review: [TOPIC]

**Review Date**: [Date]
**Materials Reviewed**: [List]
**Diversity Lens**: Gender, Race/Ethnicity, SES, Ability, Age, Religion/Culture, Geography, Language

## Executive Summary

**Overall Rating**: [Excellent | Good | Needs Revision | Poor]

**Critical Issues**: [Count]
**Moderate Concerns**: [Count]
**Recommendations**: [Count]

**Readiness**: [Ready | Minor revisions | Major revisions]

## Bias Findings by Category

### Gender Bias

**Issues Found**: [Count]

**Critical** (Must Fix):
1. [Location]: "[Problematic text]"
   - **Problem**: [Explanation]
   - **Recommendation**: "[Suggested replacement]"

**Moderate** (Should Fix):
1. [Location]: "[Problematic text]"
   - **Problem**: [Explanation]
   - **Recommendation**: "[Suggested alternative]"

### Racial/Ethnic Bias

[Same structure]

### Socioeconomic Bias

[Same structure]

### Ability Bias

[Same structure]

### Age, Religious, Geographic, Linguistic Bias

[Same structure for each]

## Representation Analysis

### Names Used

| Name | Cultural Origin | Role/Context | Issue |
|------|----------------|--------------|-------|
| John | Anglo-American | Doctor (authority) | Part of pattern: only Anglo names in authority |
| Maria | Latina | Patient (receiving help) | ⚠️  Pattern concern |
| Li Wei | Chinese | Student (struggling) | ❌ Stereotype reinforcement |

**Analysis**: Names show pattern of Anglo individuals in authority, others needing help. Reinforces problematic hierarchies.

**Recommendation**: Diversify authority figures—include Maria as doctor, Li Wei as expert, etc.

### Role Distribution

| Role Type | Gender | Race/Ethnicity | Pattern Issue |
|-----------|--------|----------------|---------------|
| Doctor (3 examples) | Male (3) | White (3) | ❌ No diversity |
| Teacher (4 examples) | Female (4) | White (3), Asian (1) | ⚠️  Gender stereotype |
| Scientist (2 examples) | Male (2) | White (2) | ❌ No diversity |

**Recommendation**: Balance gender and race across all professional roles

## Assessment Fairness Review

### Item-Level Analysis

**Item MC-1.5**:
- **Text**: "Calculate the cost of a family ski vacation..."
- **Issue**: Assumes familiarity with skiing, family vacations, disposable income
- **Impact**: May disadvantage students from lower SES backgrounds
- **Recommendation**: Use universally accessible scenario: "Calculate the cost of items at a school store..."

**Item ESSAY-2.1**:
- **Text**: "Describe a time your family celebrated a holiday..."
- **Issue**: Assumes stable family structure and holiday celebration
- **Impact**: May be painful/impossible for students in foster care, refugees, non-celebratory families
- **Recommendation**: "Describe a memorable day or event you experienced..."

## Language Accessibility

**Complex/Unclear Language**: [Count]

Examples:
- [Location]: "[Complex phrase]"
  - **Issue**: Grade 10 reading level in grade 6 material
  - **Simplify to**: "[Simpler version]"

**Idioms Needing Explanation**: [List]

**Recommendations**: [Language simplification strategies]

## Positive Findings

**Strengths**:
- ✅ Diverse names used in Unit 2
- ✅ Multiple cultural perspectives in readings
- ✅ Accessible language in most materials
- ✅ Gender-neutral language throughout

## Priority Recommendations

### Priority 1 (Critical—Must Fix)
1. Remove stereotype in Item 3 (Asian student struggling with math)
2. Replace ski vacation scenario with equitable alternative
3. Diversify authority figures in examples

### Priority 2 (Important—Should Fix)
1. Balance gender in professional roles
2. Add cultural context explanations
3. Simplify complex phrases

### Priority 3 (Enhancement)
1. Add more diverse names
2. Include disability representation
3. Expand geographic diversity

## Revision Checklist

- [ ] All critical issues addressed
- [ ] Representation balanced across materials
- [ ] Assessment items culturally fair
- [ ] Language accessible to all students
- [ ] Stereotypes eliminated
- [ ] Multiple perspectives included

---

**Artifact Metadata**:
- **Artifact Type**: Bias Review Report
- **Critical Issues**: [Count]
- **Status**: [Pass/Needs Revision]
- **Next Phase**: Address issues, then Accessibility Review

6. CLI Interface

# Full bias review
/curriculum.review-bias --materials "curriculum-artifacts/"

# Assessment-only review
/curriculum.review-bias --focus "assessments" --items "assessment-items.md"

# Specific bias category
/curriculum.review-bias --focus "gender,race" --content "lessons/*.md"

# Help
/curriculum.review-bias --help

Composition with Other Skills

Input from: All development and design skills

Output to:

  • User for revisions
  • /curriculum.review-accessibility (after bias issues addressed)

Exit Codes

  • 0: No issues found
  • 1: Issues found, revisions needed
  • 2: Cannot load materials
  • 3: Invalid focus specified

平台分布

Claude Code

30.31%
按下载量换算22

windsurf

24.09%
按下载量换算17

zencoder

17.07%
按下载量换算12

trae

11.31%
按下载量换算8

OpenCode

8.44%
按下载量换算6

Codex

3.46%
按下载量换算2

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

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