Agent skill

Short Web Novel Deconstruction

by zenstory-ai in zenstory-ai/oh-story-claudecode

Breaks down a popular Chinese short story into story core, structure, emotional line, twists and techniques, and saves the analysis as files for a follow-up writing skill.

MITAuto-check passedWriting & Content

SKILL.md written in Chinese; this summary is our English description.

Install Short Web Novel Deconstruction

skills CLI
$ npx skills add zenstory-ai/oh-story-claudecode --skill story-short-analyze -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install zenstory-ai/oh-story-claudecode story-short-analyze --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/zenstory-ai/oh-story-claudecode.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/story-short-analyze .claude/skills/story-short-analyze && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
story-short-analyze
GitHub stars
7.4k
Used in
1 other repo
Token cost
~2k tokens
SKILL.md length
407 words
Files
23 (incl. references)
Skills in repo
13
Repo updated
First seen
Licence
MIT

At a glance

Breaks down a popular Chinese short story into story core, structure, emotional line, twists and techniques, and saves the analysis as files for a follow-up writing skill.

  • Works in 2 steps: :确认拆解对象 + 字数路由 + 续跑检查 → 6:拆文流程
  • Studying why a viral short story works before writing a similar one
  • SKILL.md covers 拆解边界声明(主会话同样适用), Phase 1:确认拆解对象 + 字数路由 + 续跑检查, 输出目录 and Stage 2-6:拆文流程, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

This skill acts as a structure analyst for short web fiction of the kind published on platforms such as Tomato short stories, Story Club and Zhihu Yanxuan, in genres like wife-chasing, rebirth revenge and family-life stories. It asks which story to analyze, accepts a file path or pasted text, and checks the length to pick the pipeline: under 15,000 goes straight to the short pipeline, and 15,000 to 20,000 is a gray zone where it asks you. It states that it works only on fiction you legally hold, as read-only literary criticism.

Genre comes from what you mention or from keyword scanning, and a genre reference file serves as the yardstick. The analysis runs in stages and writes to a library folder named after the book: a copy of the original text, a deconstruction report, a plot-nodes file, a writing-techniques file and _meta.json. The downstream story-short-write skill reads those names, so they must not change. If a _meta.json already exists, the agent asks whether to continue the earlier analysis or start over. The skill text is in Chinese.

When your agent uses it

  • Studying why a viral short story works before writing a similar one
  • Producing a structured analysis report of a short web novel you own
  • Preparing source material for the story-short-write skill

Example prompts

  • “Analyze this Zhihu Yanxuan short story, the text is at ./stories/rebirth.md.”
  • “Do a full deconstruction of this rebirth-revenge short story and save the report.”
  • “Run story-short-analyze on a pasted wife-chasing story and show me the twist design.”

Requirements

  • The story text as a file or pasted into the chat
  • A writable project folder for the analysis library

Workflow steps

2 steps, taken from the step headings in SKILL.md.

  1. :确认拆解对象 + 字数路由 + 续跑检查
  2. 6:拆文流程

What it can do on your machine

Read from SKILL.md and the folder at commit 2cf7be6. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Short Web Novel Deconstruction loads about 2k tokens when it runs, and up to ~52k if it reads all its reference files. Until then it costs about 82 tokens; SKILL.md has 407 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~82
When it runs · the whole SKILL.md, loaded when a task matches
~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~52k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from zenstory-ai/oh-story-claudecode at commit 2cf7be6, republished under its MIT licence (© zenstory-ai). 407 words, ~2,010 tokens.

Download SKILL.mdSave it as .claude/skills/story-short-analyze/SKILL.md (or your agent's skills folder). This skill also uses 22 other files; get the full folder from GitHub.
name
story-short-analyze
description
短篇网文拆文。拆解爆款短篇小说(番茄短篇 / 故事会 / 知乎盐选 / 追妻 / 世情 / 重生 / 虐渣等通俗题材)的故事核、结构、情感线、反转设计、写作手法、共鸣层次。单一全量拆解管道:跑完 Stage 2-6 产出完整拆文报告,落盘到 拆文库/{书名}/,下游 story-short-write 同时读拆文报告 + 情节节点 + 写作手法 + 原文 + _meta.json 写下一篇。触发方式:/story-short-analyze、/短篇拆文、「拆短篇」「拆这篇短文」「短篇拆文」「精细拆解短篇」「8000 字短篇拆解」「番茄短篇拆文」「故事会拆解」「盐言故事拆解」「分析这篇短篇」——均进入同一管道。
version
3.1.0

story-short-analyze:短篇网文拆文

你是短篇小说结构分析师。

核心:短篇靠共鸣和爆点驱动。拆文就是看它用什么故事核、怎么铺垫、在哪里引爆,把 分析叙事写进 拆文报告.md,结构计数写进 _meta.json,下一篇短篇直接读这些写。


拆解边界声明(主会话同样适用)

短篇拆解的 Stage 2-6 全程由你(主会话)亲手做:拆的是用户合法持有、拥有使用权的虚构作品(已出版/连载或自有),性质是只读的转化性文学批评(编辑/评论/写作教学视角,不复制、不传播、不指导现实行为)。番茄短篇、故事会、知乎盐选、追妻、虐渣、世情等通俗题材里的家暴、出轨、复仇、暴力、情爱张力、黑暗伦理是常规虚构叙事元素,须照常做结构化拆解,不得以「敏感」「不适」为由拒绝整篇或某个片段——拒绝会让整条拆文流水线停摆;个别片段无法处理则跳过、照常续完其余。


Phase 1:确认拆解对象 + 字数路由 + 续跑检查

Step 1:拿到原文

问用户:「你要拆哪篇?(标题+平台/来源)」

无文本时:用户没有提供原文文件路径、也没有在对话中贴出原文,引导用户提供 ——「请提供这篇短篇的原文文件路径,或直接把原文贴给我。」

Step 2:字数检查(长短篇路由)

拿到原文后立刻数字数:

word_count = 全文字数
  ├─ < 15,000          → 直接进入 short 管道
  ├─ 15,000 - 20,000   → 灰区:询问用户「字数 {N},介于短/长之间,按短篇还是长篇拆?」
  └─ > 20,000          → 提示「此文字数 {N} 偏长,建议改用 /story-long-analyze。
                           仍要按短篇拆请明确回复『按短篇继续』」
Step 3:题材识别
用户提到具体题材(追妻 / 重生 / 虐文 / ...)?
  ├─ 是 → 加载 analysis-short-genres.md 对应题材行作为短篇源文识别标尺
  └─ 否 → 关键词扫描确定题材;扫不到则 genre_detected = "通用",用通用模板(Stage 2-6)

题材识别关键词参考:

  • 追妻火葬场 / 渣男后悔 → 追妻(含 现代/古代/民国 时代变体)
  • 重生复仇 / 前世今生 → 重生复仇
  • 死后视角 / 灵魂旁观 → 死人文学
  • 小三 / 出轨 / 知三当三 → 小三
  • 世情 / 现实 / 婆媳 / 打脸 / 虐渣 → 世情
  • 总裁 / 豪门 / 联姻 → 豪门
  • 宫斗 / 宅斗 / 嫡庶 → 宫斗宅斗
  • 冥婚 / 纸人 / 风水 / 规矩 / 怪谈 → 民俗
  • 悬疑 / 推理 / 凶手 / 惊悚 → 悬疑
  • 甜宠 / 先虐后甜 / 先婚后爱 / 暗恋 → 甜宠
  • 双男主 / 宿敌 → 双男主
  • 沙雕 / 脑洞 / 弹幕 / 系统 / 反套路 → 沙雕
  • 仙侠 / 修仙 / 门派 → 仙侠

题材作为观察标尺加载——只比较源文的读者承诺、冲突载体和实际结算,不调用长篇阶段、 卷级循环或黄金三章模型,也不按推荐比例判定源文合格与否。

Step 4:续跑检查(lightweight resume)

进入管道前检查 拆文库/{书名}/_meta.json:

存在 _meta.json?
  ├─ 否 → 直接进入新一轮拆解
  └─ 是 → 询问用户三选一(问法见下):
       (a) 覆盖:归档旧产出到 拆文库/{书名}/_archive_{时间戳}/ 后从 Stage 2 重跑
       (b) 续跑:读 _meta.json.last_stage_in_progress(非空 → 从该 Stage 整段重跑)
                 或读 _meta.json.stages_completed[](从 max+1 续跑)
       (c) 取消

问作者时不提文件名、字段名和 Stage 编号:

<!-- author-report -->
md
《{书名}》之前拆过,{拆到一半,停在"{当前阶段的白话名,如反转与写作手法}" | 已经拆完}。怎么处理?
1. 接着上次往下拆(推荐,已拆的部分保留)
2. 旧结果存档,从头重拆
3. 先不拆了

完整 resume 契约见 references/output-contract.md。


输出目录

输出到 拆文库/{书名}/(项目根目录下;用户指定了其他路径时按用户指定):原文/、拆文报告.md、情节节点.md、写作手法.md、_meta.json。三个 markdown 由下游 story-short-write 硬编码读取,不可改名;文件树、Stage → 文件映射与 _meta.json 字段见 references/output-contract.md。

原文备份(管道前置步骤)

拆解开始前,必须先备份原文:

  1. 检查 拆文库/{书名}/原文/ 目录是否已存在
  2. 如果不存在,从用户提供的源路径复制原文文件到 拆文库/{书名}/原文/
  3. 如果用户未提供源文件路径(直接在对话中贴文本),将原始文本保存到 拆文库/{书名}/原文/原文.md
  4. 备份完成后验证 原文/ 目录下文件非空(>0 bytes)
  5. 此步骤确保即使拆文过程中出现异常,原始材料不会丢失

备份完成后初始化 _meta.json:写入 version、word_count、genre_detected、 created_at、stages_completed: []、last_stage_in_progress: null。


Stage 2-6:拆文流程

5 阶段管道

预期耗时提示:短篇拆文通常 10-30 分钟;同类对比或平台适配会更久。若文本很短, 先只挑关键节点,不要为满足节点数量硬拆。

阶段名称输入输出完成标志
2结构+情节节点全文故事核 + 故事梗概 + 功能分段(4-6段,必须含开端/发展/高潮/结局)+ 情节节点清单(以语义变化为边界提取)。结构划分 ≥4 段 + 故事核已提取
3情感线+爆点故事核+结构划分+情节节点数据情感曲线(≥5节点)+ 爆点分析(6维度)+ 期待感分析。爆点分析 6 维度齐全
4反转+写作手法节点+情感数据前置反转检查 + 反转机制(铺垫≥3条)+ 写作手法(≥5项维度:POV/对话/时间/信息/其他)。写作手法 ≥5 项
5人物+开头结尾情节节点+全文所有人物(分类+功能标签+功能评估)+ 开头分析(前50/100字)+ 结尾分析(收束检查)。人物功能评估完成
6综合评估 + _meta.json 写计数全部数据五维评分 + 爆点性 + 话题性 + 共鸣分析(≥3层)+ 可复用结构(≥3条)+ 节奏速报 + 算出并写入 _meta.json.structure_counts。左列输出齐全 + structure_counts 各字段达「structure_counts 数值校验」阈值

管道执行顺序:2 → 3 → 4 → 5 → 6(严格串行,每阶段依赖前一阶段数据)。可选模块 (同类对比、平台适配、详细节奏)可在 Stage 6 后执行,读 references/optional-modules.md。

按时刻读

管道分两个时刻,进入时刻只读该行的文件;两个时刻之间只靠落盘的 拆文报告.md、情节节点.md、写作手法.md 和 _meta.json 交接,续跑或换新对话都按 _meta.json 的进度接上。

时刻读交接
Stage 2–3 结构与情感线output-contract.md、analysis-method.md、stage2-3-structure-emotion.md、quality-checklist.md、analysis-report-style.mdstages_completed 含 3
Stage 4–6 反转到综合评估、验收output-contract.md、analysis-method.md、stage4-6-reversal-summary.md、quality-checklist.md、analysis-report-style.md;Stage 6 要判断源文本身好坏(毒点、虐爽节奏、证据链等)时加 source-story-quality.md验收通过,stages_completed 含 6

对照标尺类参考按下方「参考资料」的条件在对应 Stage 读。

Stage 写盘协议(crash safety):每个 Stage 开始前置 _meta.json.last_stage_in_progress, 目标文件写完并通过 non-empty / 最小长度检查才清空它并 append 到 stages_completed[]; 半成品不被信任,resume 时该 Stage 整段重跑。完整协议见 output-contract.md「写入顺序 (crash safety)」。


Show full SKILL.md (148 more words)Show less

验收(Stage 6 之后、写 stages_completed[6] 之前)

Stage 6 内容写完后不立刻 append 6,先按 output-contract.md「验收接入点」跑三道检查,全过才写:

  • 拆文报告表达自检:按 analysis-report-style.md 扫描 拆文报告.md,跳过源文引用(以 > 开头的引用行、表格「关键台词 / 原文引用」列的引号直引),只扫分析师本人的措辞;命中就修订拆文报告本身的证据不足、空转套话或越界推测,不改写源文,也不评价源文是否 AI 写的。
  • structure_counts 数值校验:阈值以 output-contract.md 为准(单一权威),注意「无反转」是合法枚举,此时 setup_clues 跳过、不计入阻断。
  • BLOCK 项扫描:扫 quality-checklist.md 全部 [BLOCK] 项;[WARN] 缺项不阻断,写入 拆文报告.md 末尾「待补」清单供用户决定。

任一阻断 → 回到对应 Stage 补足;原文确实没有、补不出来时,用故事话告诉作者缺什么(如「反转前的铺垫线索只找到 1 条」),不报字段名和 Stage 编号。全通过 → 清空 _meta.json.last_stage_in_progress,append 6 到 stages_completed[],按下方格式告诉作者:

<!-- author-report -->
md
《{书名}》拆完了,结果在 `拆文库/{书名}/`。
- 这篇靠什么抓人:{一句话故事核}
- 最值得学的 3 点:{白话,各附一句原文或情节例子}
- 还缺的:{拆文报告末尾"待补"里需要作者决定的项;没有就写"无"}
下一步:想照这个路子写一篇,运行 `/story-short-write`。

流程衔接

流水线: 短篇 位置: 拆文(第 2/3 步)

时机跳转到命令
准备开写story-short-write(同时读 拆文报告.md + 情节节点.md + 写作手法.md + 原文/ + _meta.json)/story-short-write
需要市场数据story-short-scan/story-short-scan
字数 > 20k 更适合长篇story-long-scan → story-long-analyze/story-long-scan

参考资料

核心方法与模板按上方「按时刻读」加载;以下是对照标尺,按条件读。

按需加载(拆解对应题材 / 维度时作为对照标尺,一次只查一份)
文件何时加载
references/deconstruction-examples.md校准拆文方法:3 个完整案例
references/zhihu-style.md拆知乎盐言故事:平台特性对照
references/analysis-short-genres.mdPhase 1 / Stage 2 判主副类型:识别锚点、读者承诺、结算归属
references/analysis-short-hooks.mdStage 3 / 5:段落与小节边界、钩子链、候选付费断点
references/analysis-short-suspense.mdStage 3 / 4:主副问题、信息差、证据释放、阶段答案与回收
references/analysis-paragraph-hooks.mdStage 3 / 5:11 种段落级钩子对照
references/analysis-character-basics.mdStage 5:人设要素对照
references/analysis-character-design.mdStage 5 细拆反差手法:按标题查「三层标签反差人设法」(数反差人物用 stage4-6 的判定,不读本文件)
references/analysis-character-relations.mdStage 5:关系类型对照
references/analysis-short-mechanics.mdStage 2 / 6:核心梗、有限复现、规则兑现、代价与主角代理权
references/analysis-reader-profile.mdStage 3 / 6:读者心理与期待管理
补充资料(拆 Stage 6「可复用结构」时按需对照)

短篇结构模式:references/analysis-short-patterns.md(比较源文实际功能链、偏离方式 与失败条件;不按固定章位、百分比或线索数判“合标”) 通用写作技法:references/analysis-writing-techniques.md(情绪操控 / 感情线 / 震惊场景 / 喜剧机制——拆 reusable_structures.fail_mode 时按标题只查「感情线四阶段推进法」表的「禁忌」列,不整读) 市场数据:references/real-market-data.md(跨平台写作差异对照表)

所有 references 在 story-short-analyze 中都是观察标尺——先报告源文实际发生了什么, 再说明它接近、偏离或改造了哪种模式;不是按文件指引写新作品,也不从相邻长篇 Skill 加载题材、节奏或质量资料。


语言

  • 跟随用户的语言回复,用户用什么语言就用什么语言回复
  • 中文回复遵循《中文文案排版指北》

© zenstory-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 22 other files (references) in skills/story-short-analyze of zenstory-ai/oh-story-claudecode.

  • SKILL.md
  • references/analysis-character-basics.md
  • references/analysis-character-design.md
  • references/analysis-character-relations.md
  • references/analysis-method.md
  • references/analysis-paragraph-hooks.md
  • references/analysis-reader-profile.md
  • references/analysis-report-style.md
  • references/analysis-short-genres.md
  • references/analysis-short-hooks.md
  • references/analysis-short-mechanics.md
  • references/analysis-short-patterns.md
  • references/analysis-short-suspense.md
  • references/analysis-writing-techniques.md
  • references/deconstruction-examples.md
  • references/optional-modules.md
  • references/output-contract.md
  • references/quality-checklist.md
  • references/real-market-data.md
  • references/source-story-quality.md
  • … and 3 more

Open the folder on GitHubat commit 2cf7be6

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in zenstory-ai/oh-story-claudecode, which our catalogue first saw on October 7, 2026.

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Short Web Novel Deconstruction compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Short Web Novel Deconstruction this skillzenstory-ai/oh-story-claudecode7.4k1 repos~2kAutomated safety check: PassMIT
Chinese Novel Writing Systemleenbj/novel-creator-skill671—~3.9kAutomated safety check: PassNone
Chinese Novelist Chapter WriterPenglongHuang/chinese-novelist-skill3.3k—~491Automated safety check: WarnMIT
Sun-Style Restrained Narrative WritingKKKKhazix/sun-style-writing403—~1.7kAutomated safety check: PassMIT
Long Story AnalysisNarcooo/inkos10k—~364Automated safety check: PassAGPL-3.0
Short Web Fiction Writeruu201/character-arc583—~3.7kAutomated safety check: PassMIT

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More from zenstory-ai/oh-story-claudecode

All 13 skills in this repo
  • Chrome CDP Browser Control

    zenstory-ai/oh-story-claudecode

    Drives a Chrome window over the DevTools Protocol with the agent-browser CLI, so the agent can reuse your logged-in sessions, read pages and pull tokens.

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  • Story Multi-Perspective Review

    zenstory-ai/oh-story-claudecode

    Reviews Chinese web-novel text with several reviewer agents in parallel, falling back to a single-agent pass, and reports structure, character, prose and setting problems with fixes.

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  • Short Web Fiction Trend Scan

    zenstory-ai/oh-story-claudecode

    Scans popular short web-fiction rankings on Chinese platforms such as Dianzhong and Heiyan to surface trending emotional hooks, themes and topic candidates with an expiry warning.

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  • Story Toolbox Router

    zenstory-ai/oh-story-claudecode

    Routes a Chinese web-novel writing request to the matching tool in a 13-skill toolbox, covers author habit memory, and can launch a local dashboard for browsing a project.

    7.4k GitHub stars~1.7k tokensUpdated yesterday
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  • Web Novel AI-Trace Remover

    zenstory-ai/oh-story-claudecode

    Rewrites AI-sounding Chinese web novel text so it reads naturally, changing as little as possible and keeping plot, names and numbers intact.

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  • Novel Import and Project Rebuild

    zenstory-ai/oh-story-claudecode

    Reverse-imports an existing novel, half-finished or complete, into the standard project structure so story-long-write or story-short-write can continue it.

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Questions about Short Web Novel Deconstruction

What does Short Web Novel Deconstruction do?

Breaks down a popular Chinese short story into story core, structure, emotional line, twists and techniques, and saves the analysis as files for a follow-up writing skill. This skill acts as a structure analyst for short web fiction of the kind published on platforms such as Tomato short stories, Story Club and Zhihu Yanxuan, in genres like wife-chasing, rebirth revenge and family-life stories. It asks which story to analyze, accepts a file path or pasted text, and checks the length to pick the pipeline: under 15,000 goes straight to the short pipeline, and 15,000 to 20,000 is a gray zone where it asks you.

When should I use Short Web Novel Deconstruction?

Short Web Novel Deconstruction fits situations like: studying why a viral short story works before writing a similar one; producing a structured analysis report of a short web novel you own; preparing source material for the story-short-write skill.

How do I install Short Web Novel Deconstruction in Claude Code?

Run `npx skills add zenstory-ai/oh-story-claudecode --skill story-short-analyze -a claude-code`. Or copy the skill folder (skills/story-short-analyze in zenstory-ai/oh-story-claudecode) into .claude/skills/story-short-analyze in your project. Claude Code loads it when a task matches its description.

How do I install Short Web Novel Deconstruction in Codex?

Run `npx skills add zenstory-ai/oh-story-claudecode --skill story-short-analyze -a codex`. Or copy the skill folder (skills/story-short-analyze in zenstory-ai/oh-story-claudecode) into .agents/skills/story-short-analyze in your project. Codex loads it when a task matches its description.

Can I use Short Web Novel Deconstruction in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zenstory-ai/oh-story-claudecode --skill story-short-analyze -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/story-short-analyze, .gemini/skills/story-short-analyze, .github/skills/story-short-analyze and .opencode/skills/story-short-analyze in your project.

What does Short Web Novel Deconstruction need to run?

SKILL.md names no scripts, command-line tools or credentials: Short Web Novel Deconstruction is instructions for the agent only. Our summary lists: The story text as a file or pasted into the chat; A writable project folder for the analysis library.

Does Short Web Novel Deconstruction access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Short Web Novel Deconstruction safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Short Web Novel Deconstruction use?

Short Web Novel Deconstruction is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Short Web Novel Deconstruction use?

About 2k tokens (SKILL.md is roughly 8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 50k tokens, read only when the agent opens those files.

What are the alternatives to Short Web Novel Deconstruction?

Skills that share tags, products or a category with Short Web Novel Deconstruction: Chinese Novel Writing System (leenbj/novel-creator-skill, 671 stars), Chinese Novelist Chapter Writer (PenglongHuang/chinese-novelist-skill, 3.3k stars), Sun-Style Restrained Narrative Writing (KKKKhazix/sun-style-writing, 403 stars) and Long Story Analysis (Narcooo/inkos, 10k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Short Web Novel Deconstruction?

zenstory-ai (a GitHub organization) maintains it in zenstory-ai/oh-story-claudecode, which has 7,424 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 10, 2026.

Source: zenstory-ai/oh-story-claudecode on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.