oh-story-claudecode is a skill package for planning, analyzing, and writing Chinese web fiction, covering both short and long novels. It is intended for writers using Claude Code, Codex, OpenClaw, and other supported AI-agent environments, with workflows for market research, story breakdowns, drafting, editing, and cover creation. The catalogue entries are the package's skills, commands, agents, and plugin.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add zenstory-ai/oh-story-claudecode --skill story-covergit clone --depth 1 https://github.com/zenstory-ai/oh-story-claudecodeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/zenstory-ai/oh-story-claudecode/story-cover)<a href="https://agentmods.dev/skills/zenstory-ai/oh-story-claudecode/story-cover"><img src="https://agentmods.dev/badge/skills/zenstory-ai/oh-story-claudecode/story-cover/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/zenstory-ai/oh-story-claudecode/story-cover"><img src="https://agentmods.dev/badge/skills/zenstory-ai/oh-story-claudecode/story-cover.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 6 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 232 Tool calls are chained to bypass individual safety checks or escalate capabilities beyond what any single tool call would allow.Fix: Limit tool chaining depth and validate the output of each tool before passing it to the next. Require explicit user approval for multi-step chains.
- high Tool Misuse · line 232 Tool calls are chained to bypass individual safety checks or escalate capabilities beyond what any single tool call would allow.Fix: Limit tool chaining depth and validate the output of each tool before passing it to the next. Require explicit user approval for multi-step chains.
- medium Data Exfiltration · line 25 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 165 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 218 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 186 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00093 | $0.02880 |
| Opus 5.5 | $0.00037 | $0.01152 |
| Sonnet 5.5 | $0.00019 | $0.00576 |
| Haiku 4.5 | $0.00009 | $0.00288 |
Grade A, and why
story-cover scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
metadata: {"openclaw":{"requires":{"env":["GPT_IMAGE_API_KEY"],"bins":["curl","jq","base64"]},"primaryEnv":"GPT_IMAGE_API_KEY","source":"https://github.com/zenstory-ai/oh-story-claudecode"}} Copies of this mod
1 near-identical copy found in the catalogue:
- story-cover — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
story-cover：小说封面生成
根据书名和题材生成包含书名、笔名的完整封面，让读者一眼看出题材和氛围。
生成通路
- Codex 内置（优先）：当前 Codex CLI 会话可调用
$imagegen/image_gen时，直接调用工具生成并保存，无需OPENAI_API_KEY或GPT_IMAGE_API_KEY，不运行curl。 - API 回退：仅在会话没有内置工具或用户明确指定 API 时使用，需要
GPT_IMAGE_API_KEY；环境变量和命令在 references/api-fallback.md，走这条通路时再读。工具缺失不等于 Codex 订阅不支持生图；内置调用失败时先报告错误，不静默切换到可能收费的 API。
生成流程
Step 1：收集信息
先找当前书：项目根 .active-book 指向项目内现有目录时就是当前书；否则从项目根往下最多 4 层找（跳过 . 开头的目录、node_modules、拆文库/、对标/），含 追踪/、正文/、设定/ 子目录或 正文.md、设定.md 文件的是书目录，找到多本时请作者选择。有 正文/ 或 设定/ 子目录的是长篇，有 正文.md 或 设定.md 的是短篇。找到后读：
- 长篇：
设定/题材定位.md「基本信息」的书名、题材类型、目标平台、核心梗； - 短篇：
设定.md「基本信息」的标题、目标平台、目标情绪，以及「一句话梗概」「题材招式」。
已有字段不再问；笔名不在这些文件里，每次都要问。没有书目录或缺项时，用宿主可用的提问方式一次问齐：书名、笔名、目标平台。
书名和笔名是封面必需信息：缺任一时先请作者补全，不得编造或留空。
选填：参考图 REF_IMAGE（本地路径或 URL）、风格偏好；参考图的用法见 Step 4。
保存位置：有书目录时存到 {书目录}/封面/，不用问；没有书目录时用 ./covers/{书名}/封面/。下文 BOOK_DIR 指 封面/ 的上一层。
按目标平台定比例和上传尺寸：番茄上传 600×800，比例 3:4，出图比例不符时平台再次裁剪可能切掉书名或笔名；其他平台按竖版 2:3 交付，作者给出平台上传像素时按该尺寸导出。各平台的画风关键词见 references/cover-styles.md「平台风格」。
Step 2：题材判定
在 references/cover-styles.md 的「风格库」里选一个题材：
- 有「题材类型」（长篇）或梗概、题材招式（短篇）时，按内容选风格库中最接近的一节。
- 没有，或对不上风格库任何一节（如年代、种田、无限流、电竞）时，用书名（必要时简介）对照「题材推断规则」：只命中一个题材就用它；命中多个按该表下方的优先级取一；都没命中先用「都市」。
- 第 2 条推断出的题材，在 Step 4 给作者看方案时一并说出来，作者可以改。
Step 3：构建提示词
提示词 = 文字层 + 风格层 + 画面层。设计指令用英文，书名和笔名保留作者提供的原文。所选题材的字体、标签、色彩、人物、背景、光效都在「风格库」同一节里查。
文字层：GPT-Image-2 可直接渲染中文。书名在上方居中，用该题材的书名字体；笔名在下方居中，用该题材的笔名字体。笔名要和书名风格呼应、清晰可读而不抢焦点：
- 大小用
small；位置at bottom center，与画面底部留出间距； - 必须带一种装饰：线条、边框、小图标或光效；
- 颜色与背景形成对比但不刺眼。
风格层：目标平台在「平台风格」表里有对应时，取它的关键词串；没有对应（如黑岩、红果、小程序）时省掉这一层，只靠题材风格。
画面层：题材的风格标签、人物、背景、色彩、光效，加上一种构图（见「构图变体」）。
完整提示词模板（唯一一份，示例和改版都按它拼）：
Chinese web novel cover design, [平台风格].
Title text '{书名}' at top center in [书名字体].
Author name '{笔名}' at bottom center in [笔名字体].
[题材风格标签]. [构图关键词]. [人物描述]. [背景描述].
[色彩指令]. [光效指令].
Professional book cover, high detail digital painting, portrait [平台比例：番茄=3:4，默认=2:3] ratio, keep title and author name inside the central safe area away from edges (inner ~85%), no watermark
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago Changed 78bb12754981
- 10d ago Changed · -179 lines 0998e61a5665
- 12d ago Changed · -9 lines 8c7e205b9b02
- 1mo ago Changed · +9 lines 9b1feb85506a
- 1mo ago First seen · 328 lines · 93 tokens per session scan A 2b3ecdd28867
story-cover is a skill published in the GitHub repository zenstory-ai/oh-story-claudecode (8,063 stars, last pushed yesterday), licensed MIT. It adds 93 tokens to every session and 2,880 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
zh-novel-polish
A Chinese fiction editing tool focused on making narrative prose sound like it was written by a person rather than generated by AI.
novel-review
A review coordinator for long novels. It breaks a manuscript review into focused checks by specialist roles, combines their reports, and stores the results in a review directory.
novel-sync
A Chinese-language workflow for updating a novel's continuity notes after a chapter is written or changed. It records events, character changes, unresolved clues, and notable lines in the project's reference files.
novel-plan
A planning workflow for designing a new long-form novel before writing it. It helps settle the premise, setting, character, progression, ending, outline, and writing approach, then tests the setting for logical problems.
bestseller-novel-outline
A planning workflow for designing a very long commercial novel before chapters are written. It creates the world, characters, overall plot, volume outlines, planted clues, and chapter paths for later writing tools.
novel-chapter-write
A long-form novel writing workflow that turns an approved chapter plan into chapter prose. It supports drafting, targeted revision, and final approval while keeping style and story details consistent across chapters.