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Agent Skill · 开发

chapter-evaluator(章节评估器)

chapter-evaluator 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

chapter-evaluator 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 12,530。

总安装 1,236周安装 51GitHub Stars 158下载 404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
unknown

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:chapter-evaluator(章节评估器)
来源仓库:https://github.com/panaversity/agentfactory
仓库路径:skills/chapter-evaluator
安装命令:
npx skills add https://github.com/panaversity/agentfactory --skill chapter-evaluator
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/panaversity/agentfactory --skill chapter-evaluator

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

chapter-evaluator 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中围绕项目状态进行整理。适用于需要分析代码变更、跟踪协作事项或管理开发进度的场景。

使用时可结合来源仓库和安装命令进一步核验功能细节,建议先查看原始 README。安装前请确认权限范围和维护状态,注意是否涉及文件读写或外部 API 调用。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/chapter-evaluator

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/panaversity/agentfactory --skill chapter-evalu…;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

chapter-evaluator 怎么安装?

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

chapter-evaluator 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。

chapter-evaluator 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。

chapter-evaluator 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

chapter-evaluator 用的人多吗?

公开数据是累计安装 1,236 次,近一周安装 51 次,下载 404 次,GitHub 158 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。

chapter-evaluator 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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
chapter-evaluator

章节评估器 · 本页

1,236158只读未明确通过

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

Chapter Evaluator Skill

Evaluate educational chapters through dual lenses: the Student Experience (engagement, clarity, confidence) and the Teacher Perspective (pedagogy, objectives, assessment). Output structured analysis with ratings, gaps, and actionable improvements.

When to Use

  • Analyzing a chapter's overall quality before publication
  • Identifying why content "feels off" (too short, boring, disconnected)
  • Planning improvements to existing chapters
  • Comparing chapters against quality standards
  • User asks to "evaluate", "review", "analyze", or "assess" a chapter

Evaluation Process

Step 1: Gather Chapter Content

Read all lesson files in the chapter directory:

ls -la <chapter-path>/*.md | grep -v summary | grep -v README | grep -v quiz

For each lesson file, extract:

  • YAML frontmatter (learning objectives, cognitive load, skills, layer)
  • Word count
  • Section structure (headings)
  • Try With AI prompts
  • Hands-on exercises
  • Code examples

Step 2: Student Perspective Analysis

Evaluate as a beginner encountering this content for the first time.

2.1 Engagement Score (1-10)
ScoreCriteria
9-10Compelling hook, real-world relevance clear, I want to keep reading
7-8Interesting enough, some engaging moments, minor dry spots
5-6Functional but forgettable, reads like documentation
3-4Boring, walls of text, no compelling reason to continue
1-2Would abandon after first section

Check for:

  • Opening hook (does first paragraph grab attention?)
  • Real-world scenarios (why does this matter to ME?)
  • Story/narrative flow vs disconnected facts
  • Visual breaks (diagrams, tables, code blocks)
  • Pacing variety (concept → hands-on → concept)
  • Comparative Value (vs alternatives like VS Code/Copilot)
2.2 Length Assessment
VerdictCriteria
Too ShortMissing examples, concepts unexplained, abrupt endings, "I don't understand"
Just RightEach concept has sufficient depth, examples clarify, natural flow
Too LongRepetitive explanations, over-elaborated points, could cut 30%+

Word count benchmarks:

  • Conceptual lesson: 1,000-1,400 words
  • Hands-on lesson: 1,200-1,600 words
  • Installation/setup: 800-1,200 words (focused)
  • Capstone: 1,400-1,800 words
2.3 Clarity Score (1-10)
ScoreCriteria
9-10Crystal clear, no re-reading needed, "aha" moments
7-8Mostly clear, occasional re-read for complex parts
5-6Understandable with effort, some confusing sections
3-4Frequently confused, missing context, jargon unexplained
1-2Cannot follow, assumes knowledge I don't have

Check for:

  • Jargon introduced before defined
  • Logical flow between paragraphs
  • Transitions between sections
  • Prerequisites assumed vs stated
  • Safety Checks: No concatenated commands or risky copy-pastes
2.4 Hands-On Effectiveness (1-10)
ScoreCriteria
9-10Clear steps, achievable, builds confidence, "I did it!"
7-8Mostly clear, minor ambiguity, successful completion likely
5-6Workable but confusing steps, may need to troubleshoot
3-4Missing steps, unclear what to do, likely to get stuck
1-2Cannot complete without external help

Check for:

  • Step-by-step instructions (numbered, clear)
  • Expected output/results shown
  • Troubleshooting guidance
  • Connection to concepts just learned
2.5 Progression Clarity (1-10)
ScoreCriteria
9-10Clear path from start to mastery, each lesson builds on previous
7-8Generally progressive, minor jumps between lessons
5-6Some logical progression, noticeable gaps
3-4Disconnected lessons, unclear how they relate
1-2Random ordering, no clear learning path

Check for:

  • Opening connections ("In Lesson N-1, you learned X. Now...")
  • Running example threaded through chapter
  • Skills building on each other
  • Clear "what's next" at lesson end
2.6 Confidence Score (1-10)
ScoreCriteria
9-10"I can definitely do this now" - ready to apply independently
7-8"I mostly understand and could figure out the rest"
5-6"I kind of get it but would need help applying it"
3-4"I'm confused about when/how to use this"
1-2"I have no idea what I just read"

Check for:

  • Practice opportunities before moving on
  • Verification steps ("you should see X")
  • Real-world application examples
  • "Try it yourself" prompts

Step 3: Teacher Perspective Analysis

Evaluate as an instructional designer assessing pedagogical soundness.

3.1 Learning Objectives Quality (1-10)
ScoreCriteria
9-10SMART objectives, measurable, aligned to content and assessment
7-8Clear objectives, mostly measurable, good alignment
5-6Objectives present but vague or partially aligned
3-4Weak objectives, not measurable, poor alignment
1-2Missing or meaningless objectives

Check for:

  • Bloom's taxonomy verb alignment (Remember → Create)
  • Measurable criteria ("can explain", "can create", "can distinguish")
  • Assessment method specified
  • Objectives actually taught in lesson content
3.2 Cognitive Load Management (1-10)
ScoreCriteria
9-10Appropriate concepts for level, well-scaffolded, no overload
7-8Generally appropriate, minor overload moments
5-6Some cognitive overload, too many concepts at once
3-4Significant overload, concepts piled without consolidation
1-2Overwhelming, no chance of retention

Benchmarks by proficiency:

  • A1-A2: 3-5 new concepts per lesson
  • B1-B2: 5-7 new concepts per lesson
  • C1-C2: 7-10 new concepts per lesson

Check for:

  • New concepts counted in frontmatter
  • Concepts introduced one at a time
  • Practice before new concept introduced
  • Chunking of complex procedures
3.3 Scaffolding Quality (1-10)
ScoreCriteria
9-10Perfect progression, each concept builds on previous, no gaps
7-8Good scaffolding, minor jumps that students can bridge
5-6Some scaffolding gaps, requires prior knowledge not taught
3-4Significant gaps, assumes knowledge not in prerequisites
1-2No scaffolding, concepts appear randomly

Check for:

  • Prerequisites listed and actually prerequisite
  • Concepts introduced before used
  • Increasing complexity curve
  • Prior knowledge activated before new content
3.4 Pedagogical Layer Appropriateness (1-10)
LayerExpected Characteristics
L1 (Foundation)Manual-first, understand before automate, no AI shortcuts
L2 (Collaboration)AI as Teacher/Student/Co-Worker, learning through interaction
L3 (Intelligence)Pattern recognition, creating reusable intelligence (skills/subagents)
L4 (Orchestration)Capstone, combining components, spec-driven development

Check for:

  • Layer declared in frontmatter
  • Content matches layer expectations
  • Layer progression through chapter (L1 → L2 → L3 → L4)
  • No premature automation (L3 content in early lessons)
3.5 Try With AI Effectiveness (1-10)
ScoreCriteria
9-10Prompts directly extend lesson, specific, build skills
7-8Good prompts, mostly connected to content
5-6Generic prompts, loosely connected
3-4Copy-paste prompts, don't match lesson
1-2Missing or irrelevant prompts

Check for:

  • 2-3 prompts per lesson (not 1, not 5+)
  • Prompts reference lesson content specifically
  • Progressive difficulty across prompts
  • "What's you're learning" explanations present
3.6 Assessment/Verification Quality (1-10)
ScoreCriteria
9-10Clear verification at each step, students know if they succeeded
7-8Good verification for most exercises
5-6Some verification, students may be unsure of success
3-4Weak verification, students can't tell if they're on track
1-2No verification, students have no idea if they succeeded

Check for:

  • "Expected output" shown for commands
  • "You should see X" confirmations
  • Error states explained
  • End-of-lesson checkpoint

Dimension Criticality & Publication Gate

CRITICAL: Not all dimensions are equally important for publication. Use this gate to determine if content is ready.

Gate Dimensions (MUST BE 7+)

These dimensions BLOCK publication if below 7/10. Fix these first.

DimensionWhy CriticalRemediation
ClarityIf unclear, nothing works. Confused students abandon.Use technical-clarity skill
ScaffoldingPoor progression breaks learning. Students can't build on prior knowledge.Use concept-scaffolding skill
Layer AppropriatenessWrong layer means students lack prerequisites or are under-challenged.Redesign layer; check prerequisites

Important Dimensions (6+)

These should be strong but minor issues are fixable.

DimensionTargetRemediation
Engagement6+Add more worked examples and interactive elements
Learning Objectives6+Use learning-objectives skill
Assessment/Verification6+Add verification steps; clarity checks
Cognitive Load6+Reduce concepts per lesson; add practice

Enhancement Dimensions (5+)

These are nice-to-have; publication doesn't require perfection here.

  • Progression Clarity (5+)
  • Hands-On Effectiveness (5+)
  • Confidence (5+)
  • Try With AI Effectiveness (5+)

Publication Decision Logic

Use this decision tree AFTER scoring all dimensions:

IF any gate dimension (Clarity, Scaffolding, Layer) < 7:
  → REVISE: Content not ready
  → Fix the failing dimension(s)
  → Re-evaluate

ELSE IF (Engagement < 6) AND (Hands-On < 6):
  → CONDITIONAL PASS: Functional but needs improvement
  → Content is usable; improvements recommended
  → Can publish with revision plan

ELSE IF any important dimension (Objectives, Assessment, Load) < 5:
  → CONDITIONAL PASS: Missing elements but learnable
  → Flag for revision; can publish

ELSE:
  → PASS ✅: Ready for publication
  → All gate dimensions 7+
  → Most important dimensions 6+

Example Decision

Chapter Evaluation Results:

  • Clarity: 8 ✅
  • Scaffolding: 7 ✅
  • Layer Appropriateness: 8 ✅
  • Engagement: 5 (below ideal)
  • Cognitive Load: 7 ✅
  • Learning Objectives: 6 ✅
  • Assessment: 7 ✅

Decision: PASS ✅ — All gate dimensions 7+. Engagement is low, but structure is solid. Recommend: Add more compelling examples in next revision.


Step 4: Gap Analysis

After scoring, identify specific missing elements:

Content Gaps
  • Missing examples (concept taught but not demonstrated)
  • Missing hands-on (theory without practice)
  • Missing "why" (what but not why it matters)
  • Missing troubleshooting (happy path only)
  • Missing transitions (lessons don't connect)
Structural Gaps
  • Missing opening hook
  • Missing running example continuity
  • Missing "What's Next" closure
  • Missing visual elements (all text, no diagrams/tables)
  • Missing code examples for technical content
Pedagogical Gaps
  • Objectives not assessed
  • Cognitive overload unaddressed
  • Layer mismatch (content doesn't match declared layer)
  • Prerequisites not actually prerequisite
  • Try With AI prompts disconnected from content

Step 5: Generate Improvement Recommendations

For each gap, provide:

  1. Problem: What's missing or wrong
  2. Impact: How it affects learning (high/medium/low)
  3. Fix: Specific action to address
  4. Effort: Estimated work (low: <30min, medium: 30-90min, high: >90min)
  5. Priority: 1 (critical), 2 (important), 3 (nice-to-have)

Output Format

Generate analysis in this structure:

# Chapter Evaluation: [Chapter Name]

## Executive Summary

[1 paragraph: Overall quality assessment, key strengths, critical issues, recommendation]

## Student Analysis

### Scores

| Dimension   | Score              | Verdict            |
| ----------- | ------------------ | ------------------ |
| Engagement  | X/10               | [One-line summary] |
| Length      | [Short/Right/Long] | [One-line summary] |
| Clarity     | X/10               | [One-line summary] |
| Hands-On    | X/10               | [One-line summary] |
| Progression | X/10               | [One-line summary] |
| Confidence  | X/10               | [One-line summary] |

**Overall Student Experience**: X/10

### Detailed Findings

[Specific observations per dimension with examples from content]

### Student Pain Points

1. [Specific issue from student perspective]
2. [Specific issue from student perspective]
   ...

## Teacher Analysis

### Scores

| Dimension             | Score | Verdict            |
| --------------------- | ----- | ------------------ |
| Learning Objectives   | X/10  | [One-line summary] |
| Cognitive Load        | X/10  | [One-line summary] |
| Scaffolding           | X/10  | [One-line summary] |
| Layer Appropriateness | X/10  | [One-line summary] |
| Try With AI           | X/10  | [One-line summary] |
| Assessment            | X/10  | [One-line summary] |

**Overall Pedagogical Quality**: X/10

### Detailed Findings

[Specific observations per dimension with examples from content]

### Pedagogical Concerns

1. [Specific issue from teacher perspective]
2. [Specific issue from teacher perspective]
   ...

## Gap Analysis

### Content Gaps

| Gap               | Lesson(s) | Impact       |
| ----------------- | --------- | ------------ |
| [Missing element] | L0X       | High/Med/Low |

...

### Structural Gaps

| Gap               | Lesson(s) | Impact       |
| ----------------- | --------- | ------------ |
| [Missing element] | L0X       | High/Med/Low |

...

### Pedagogical Gaps

| Gap               | Lesson(s) | Impact       |
| ----------------- | --------- | ------------ |
| [Missing element] | L0X       | High/Med/Low |

...

## Improvement Recommendations

### Priority 1 (Critical)

| #   | Problem | Fix      | Effort       | Lesson(s) |
| --- | ------- | -------- | ------------ | --------- |
| 1   | [Issue] | [Action] | Low/Med/High | L0X       |

...

### Priority 2 (Important)

| #   | Problem | Fix      | Effort       | Lesson(s) |
| --- | ------- | -------- | ------------ | --------- |
| 1   | [Issue] | [Action] | Low/Med/High | L0X       |

...

### Priority 3 (Nice-to-Have)

| #   | Problem | Fix      | Effort       | Lesson(s) |
| --- | ------- | -------- | ------------ | --------- |
| 1   | [Issue] | [Action] | Low/Med/High | L0X       |

...

## Publication Decision

### Gate Status

| Gate           | Dimension             | Score | Status |
| -------------- | --------------------- | ----- | ------ |
| 🚧 BLOCK if <7 | Clarity               | X/10  | ✅/❌  |
| 🚧 BLOCK if <7 | Scaffolding           | X/10  | ✅/❌  |
| 🚧 BLOCK if <7 | Layer Appropriateness | X/10  | ✅/❌  |

### Publication Verdict

**Status**: [PASS ✅ | CONDITIONAL | REVISE]
**Recommendation**: [Ready for publication | Fix gates first | Needs revision plan]

## Next Steps

If PASS:

- [ ] Ready for publication
- [ ] Note: Optional improvements in Priority 3 section above

If CONDITIONAL:

- [ ] Content is functional
- [ ] Recommended: Address Priority 1 issues in next iteration
- [ ] Can publish now; plan revision cycle

If REVISE:

- [ ] STOP: Fix gate dimensions first
- [ ] [Gate dimension 1]: [Specific action]
- [ ] [Gate dimension 2]: [Specific action]
- [ ] Use remediation skills: [skill-1, skill-2]
- [ ] Re-evaluate after fixes

## Summary Metrics

| Metric             | Value   |
| ------------------ | ------- |
| Total Lessons      | X       |
| Average Word Count | X       |
| Student Score      | X/10    |
| Teacher Score      | X/10    |
| Overall Score      | X/10    |
| Gate Pass?         | Yes/No  |
| Critical Issues    | X       |
| Estimated Fix Time | X hours |

Quality Reference

Compare evaluated chapters against high-quality reference lessons. The skill should automatically identify and read a reference lesson from Part 1 or Part 6 for comparison when available.

Reference lesson patterns to look for:

  • 01-agent-factory-paradigm/01-digital-fte-revolution.md
  • 33-introduction-to-ai-agents/01-what-is-an-ai-agent.md

Resources

references/

See references/ for detailed rubrics:

  • student-rubric.md - Detailed student perspective evaluation criteria
  • teacher-rubric.md - Detailed teacher perspective evaluation criteria
  • word-count-benchmarks.md - Word count guidelines by lesson type

平台分布

Codex

36.06%
按下载量换算146

Claude

27.81%
按下载量换算112

Cursor

18.15%
按下载量换算73

Gemini CLI

10.46%
按下载量换算42

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。目前只有一个公开来源,建议同时核对源仓库。

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