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Agent Skill · 待分类

non-fiction-revision(非小说类修订)

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

non-fiction-revision 是待分类类 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,按安装量在待分类类的 11,209 个 Skill 里排第 1,049。

总安装 5,566周安装 223GitHub Stars 69下载 1,802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:non-fiction-revision(非小说类修订)
来源仓库:https://github.com/jwynia/agent-skills
仓库路径:skills/non-fiction-revision
安装命令:
npx skills add https://github.com/jwynia/agent-skills --skill non-fiction-revision
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/jwynia/agent-skills --skill non-fiction-revision

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

non-fiction-revision 用于辅助安全审计、权限检查和认证流程分析。适合梳理敏感配置、检查依赖风险或生成安全复核清单。支持非虚构类内容的修订与安全审查。

安装命令:npx skills add https://github.com/jwynia/agent-skills --skill non-fiction-revision。不能将工具输出直接作为结论,涉及密钥或用户数据时需脱敏处理。

来源仓库内路径:skills/non-fiction-revision

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/jwynia/agent-skills --skill non-fiction-revisi…;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

non-fiction-revision 怎么安装?

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

non-fiction-revision 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。

non-fiction-revision 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。

non-fiction-revision 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。

non-fiction-revision 用的人多吗?

公开数据是累计安装 5,566 次,近一周安装 223 次,下载 1,802 次,GitHub 69 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。

non-fiction-revision 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。
  • 需要处理待分类类任务、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。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
non-fiction-revision

非小说类修订 · 本页

5,56669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

Non-Fiction Revision Diagnostic

Purpose

Diagnose and guide revisions in non-fiction books (business, self-help, academic, popular science, memoir). Non-fiction operates across multiple levels simultaneously—thesis, structure, evidence, pedagogy. Changes at one level cascade to others. This skill identifies which level needs attention and prevents revision damage.

Quick Reference

StateSignalCore Issue
NR1Thesis feels unclear or weakConceptual level problem
NR2Arguments don't build logicallyStructural problem
NR3Claims lack adequate supportEvidence problem
NR4Readers report confusionPedagogical problem
NR5Sources outdated or weakCredibility problem
NR6Changes causing new problemsCascade failure

The Multi-Level Structure

Every non-fiction book operates simultaneously across:

Level 1: Conceptual/Thesis

  • Core thesis and main arguments
  • Foundational assumptions and frameworks
  • Philosophical or theoretical positions
  • Overall purpose and intended impact

Level 2: Structural/Argument

  • Logical argument sequence and flow
  • Chapter organization and dependencies
  • Evidence distribution and support patterns
  • Reader journey and persuasion architecture

Level 3: Content/Evidence

  • Specific evidence, examples, and data
  • Explanations and clarifications
  • Voice, tone, and accessibility
  • Citations, sources, and credibility markers

Level 4: Pedagogical/Reader

  • Learning progression and scaffolding
  • Cognitive load management
  • Engagement and retention strategies
  • Practical application guidance

Critical Principle

Any change at one level potentially affects argument validity and reader comprehension at all other levels.

Changes propagate:

  • Upward: New evidence might undermine existing arguments
  • Downward: Thesis changes require complete restructuring
  • Lateral: Chapter reordering affects argument development flow

Diagnostic States

NR1: Thesis/Core Argument Problem

Symptoms:

  • Thesis feels unclear or unstated
  • Main arguments seem weak or unconvincing
  • Central claims are frequently disputed
  • Book's purpose is hard to articulate
  • Conclusion doesn't deliver on promise

Diagnostic Questions:

  1. Can you state the thesis in one sentence?
  2. What are the 3-5 main arguments supporting it?
  3. What evidence backs each main argument?
  4. Does the conclusion match the opening promise?
  5. What changes if the thesis is wrong?

Interventions:

  1. Map all current evidence supporting the thesis
  2. Identify which chapters depend on current thesis formulation
  3. Evaluate what new evidence a revised thesis would require
  4. Check how thesis change affects the reader promise
  5. Assess impact on conclusion and call-to-action

Cascade Warning: Thesis changes are the most dangerous—they can invalidate entire chapters. Before changing thesis, map all dependencies.


NR2: Structural/Organization Problem

Symptoms:

  • Argument flow feels illogical
  • Chapters seem disconnected
  • Prerequisite knowledge isn't established before use
  • Reader must jump back to understand
  • Same points repeated without building

Diagnostic Questions:

  1. What logical prerequisites exist for each chapter?
  2. Does knowledge accumulate or repeat?
  3. Are there arguments that depend on later chapters?
  4. Could chapters be reordered without breaking logic?
  5. Do transitions explain the logical connection?

Interventions:

  1. Create dependency map of chapter relationships
  2. Identify logical prerequisites for each major argument
  3. Map reader knowledge accumulation through structure
  4. Test alternative sequences against comprehension requirements
  5. Ensure examples remain contextually appropriate

Cascade Warning: Reordering chapters affects every cross-reference and forward/backward reference. Track all internal citations.


NR3: Evidence/Support Problem

Symptoms:

  • Claims feel unsupported or handwavy
  • "Trust me" rather than "here's proof"
  • Evidence exists but doesn't connect to claims
  • Support for different claims inconsistent in quality
  • Key arguments rest on weak foundations

Diagnostic Questions:

  1. What type of evidence supports each main claim?
  2. Are evidence standards consistent throughout?
  3. Which claims have the weakest support?
  4. Does evidence actually prove what's claimed?
  5. Are there counter-arguments addressed?

Interventions:

  1. Audit evidence quality for each major claim
  2. Identify claims needing stronger or different support
  3. Evaluate how new evidence affects existing arguments
  4. Check consistency in citation style and source quality
  5. Assess whether adding evidence changes argument strength

Cascade Warning: Adding strong evidence for one claim can accidentally weaken others by raising the evidence standard readers expect.


NR4: Pedagogical/Comprehension Problem

Symptoms:

  • Readers report confusion
  • Complex concepts introduced too fast
  • Examples don't illuminate—they confuse
  • Practical application unclear
  • Target audience can't follow

Diagnostic Questions:

  1. Where do readers typically get lost?
  2. Are technical terms defined before use?
  3. Do examples match reader experience?
  4. Is cognitive load distributed or front-loaded?
  5. Can readers apply what they learn?

Interventions:

  1. Map cognitive load distribution across chapters
  2. Identify concepts needing better scaffolding
  3. Evaluate example effectiveness and relevance
  4. Check that practical guidance is actionable
  5. Assess whether complexity progression is appropriate

Cascade Warning: Simplifying can accidentally remove nuance that supports arguments. Balance accessibility with accuracy.


NR5: Credibility/Source Problem

Symptoms:

  • Sources feel outdated
  • Citation patterns inconsistent
  • Author authority questioned
  • Examples from wrong era
  • "According to experts" without naming them

Diagnostic Questions:

  1. How old are the oldest sources?
  2. Are sources appropriate to the field?
  3. Is citation style consistent throughout?
  4. Do you name experts or speak generally?
  5. Are there sources readers would expect that are missing?

Interventions:

  1. Audit source currency and quality
  2. Identify claims needing more recent support
  3. Standardize citation style and depth
  4. Replace generic expert references with specific citations
  5. Add expected canonical sources for the field

Cascade Warning: Updating sources can accidentally change what the evidence actually says. Verify new sources support the same conclusions.


NR6: Cascade Failure

Symptoms:

  • Fixes create new problems
  • Changes in one chapter break another
  • Evidence update invalidates argument
  • Structural change creates new confusion
  • Progress feels impossible

Diagnostic Questions:

  1. What was the original change that started the cascade?
  2. What dependencies weren't mapped?
  3. Is there a stable rollback point?
  4. What's the minimum viable change that tests the idea?
  5. Are the problems localized or systemic?

Interventions:

  1. Stop implementing and assess damage scope
  2. Identify last stable state
  3. Map actual dependencies (not assumed ones)
  4. Consider whether original change is worth the cascade cost
  5. If proceeding, create checkpoint system for controlled changes

Rollback Criteria:

  • Fundamental logical structure breaks down
  • Evidence requirements become impossible to meet
  • Changes create more credibility problems than they solve
  • Reader comprehension significantly compromised

Pre-Change Protocol

Before implementing ANY revision:

1. Identify Change Level

  • Conceptual (thesis, main arguments, frameworks)
  • Structural (chapter sequence, argument flow, organization)
  • Content (evidence, examples, explanations)
  • Pedagogical (presentation, scaffolding, application)

2. Map Dependencies

For each change, document:

  • Prerequisites: What must remain intact for this change to work?
  • Dependents: What later claims rely on this element?
  • Evidence: What support becomes necessary or obsolete?
  • Comprehension: How does this affect the learning journey?

3. Assess Cascade Risk

  • Low: Change is isolated, no dependencies
  • Medium: 2-3 other elements need updating
  • High: Affects multiple chapters or core arguments
  • Critical: Threatens book's foundational structure

4. Define Success Criteria

Before changing, know how you'll evaluate:

  • Logical coherence: Does the argument still flow?
  • Evidence adequacy: Are claims still supported?
  • Reader comprehension: Can they still follow?
  • Credibility: Does authority remain intact?

Change Record Template

# Revision: [Brief Description]

## Change Type
- [ ] Conceptual  - [ ] Structural  - [ ] Content  - [ ] Pedagogical

## Rationale
[Why this change improves the book]

## Dependency Analysis
- Prerequisites affected:
- Dependent elements:
- Evidence changes needed:
- Comprehension impacts:

## Cascade Risk Level
- [ ] Low  - [ ] Medium  - [ ] High  - [ ] Critical

## Success Criteria
- Logical coherence check:
- Evidence adequacy standard:
- Reader comprehension benchmark:

## Implementation Status
- [ ] Initial change complete
- [ ] Dependencies updated
- [ ] Cross-references revised
- [ ] Cascade effects resolved

## Outcome
[Complete after implementation]

Non-Fiction Type Variations

Academic/Research

  • Methodology consistency paramount
  • Literature review must stay current
  • Anticipate peer review critique
  • Contribution clarity essential

Business/Self-Help

  • Practical applicability above all
  • Examples must feel current
  • Implementation guidance required
  • ROI/benefit must be clear

Popular Science

  • Accessibility without dumbing down
  • Research currency matters
  • Analogies must actually illuminate
  • Balance education with engagement

Memoir/Personal Narrative

  • Factual accuracy + compelling narrative
  • Emotional authenticity preserved
  • Privacy boundaries respected
  • Personal connects to universal

Anti-Patterns

The Endless Revision Spiral

Fixing one thing breaks another, which breaks another. The book never reaches stable state.

Fix: Define minimum viable change, implement, stabilize before next change.

The Evidence Addiction

Adding more and more sources without improving argument quality. Quantity masking weakness.

Fix: Better evidence, not more evidence. One strong study beats ten weak ones.

The Clarity Trap

Simplifying until accuracy suffers. Readers can follow but learn the wrong thing.

Fix: Scaffold complexity rather than remove it. Build up to nuance.

The Thesis Drift

Small changes accumulate until the book argues something different than intended.

Fix: Regularly check: does the conclusion still match the introduction's promise?


Integration Points

Inbound:

  • From research: When gathering new evidence
  • From revision: For overall revision strategy

Outbound:

  • To prose-style: After structural issues resolved
  • To fact-check: For evidence verification

Complementary:

  • research: For evidence gathering
  • revision: For fiction revision (parallel skill)

平台分布

Claude Code

29.12%
按下载量换算525

OpenCode

20.96%
按下载量换算378

Antigravity

17.42%
按下载量换算314

Codex

11.83%
按下载量换算213

Gemini CLI

7.76%
按下载量换算140

windsurf

3.22%
按下载量换算58

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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