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-dsh --skill story-covergit clone --depth 1 https://github.com/zenstory-ai/oh-story-dshWrote 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-dsh/story-cover)<a href="https://agentmods.dev/skills/zenstory-ai/oh-story-dsh/story-cover"><img src="https://agentmods.dev/badge/skills/zenstory-ai/oh-story-dsh/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-dsh/story-cover"><img src="https://agentmods.dev/badge/skills/zenstory-ai/oh-story-dsh/story-cover.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.04917 |
| Opus 5 | $0.00046 | $0.02459 |
| Sonnet 5 | $0.00019 | $0.00983 |
| Haiku 4.5 | $0.00009 | $0.00492 |
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 12d 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"}} This is a copy
100% identical to story-cover — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 328 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
你是小说封面设计师。根据书名和题材，调用 GPT-Image-2 一次性生成包含书名和作者名的完整封面。
核心原则：封面是读者的第一印象，一眼传达题材和氛围。
生成通路
- Codex 内置（优先）：当前 Codex CLI 会话可调用
$imagegen/image_gen时，直接生成并落盘；计入 Codex 通用用量，无需OPENAI_API_KEY或GPT_IMAGE_API_KEY，也不运行curl。story-cover自行调用工具，不让用户另开命令。 - 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。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。
输出参数与 API 回退环境变量
| 变量 | 必填 | 默认 | 说明 |
|---|---|---|---|
GPT_IMAGE_API_KEY |
API 回退必填 | — | OpenAI 或兼容代理的 API Key；Codex 内置通路不用 |
GPT_IMAGE_BASE_URL |
https://api.openai.com/v1 |
兼容代理时改这个 | |
GPT_IMAGE_MODEL |
gpt-image-2 |
仅在测试新模型时覆盖 | |
GPT_IMAGE_SIZE |
1024x1536 |
API 回退的目标比例提示（番茄 3:4→768x1024，默认 2:3→1024x1536）。官方 gpt-image-2 认任意 16 倍数尺寸（比例≤3:1），但很多中转代理会忽略 size、按预设返回约 2:3（已实测）——平台尺寸不靠它，由「导出平台上传尺寸」步骤兜底 |
|
UPLOAD_SIZE |
— | 平台固定上传像素（番茄 600x800）；设置后由「导出平台上传尺寸」步骤居中裁剪+缩放出上传版（不变形、不依赖出图尺寸） |
|
BOOK_DIR |
✅ | — | 输出目录，建议 ./covers/<书名> |
REF_IMAGE |
— | 参考图本地路径或 URL；内置通路先把图片载入会话，API 回退走 images/edits 图生图 |
生成流程
Step 1：收集信息
必填：书名、作者名（笔名）、目标平台、输出目录 BOOK_DIR（建议 ./covers/<书名>；API 回退用环境变量，内置通路直接使用当前任务值）
选填：参考图 REF_IMAGE（本地路径或 URL，设置后切换到图生图）、风格偏好、尺寸
书名和笔名是封面必需信息：缺任一必须先用 AskUserQuestion 问用户补全，不得编造或留空。
按目标平台定封面尺寸：番茄上传 600×800 是 3:4（不是 2:3），出图比例不对、平台二次裁剪就会切掉书名/笔名。
| 平台 | 上传尺寸 | 比例 | 生成 GPT_IMAGE_SIZE（尽量） |
|---|---|---|---|
| 番茄小说 | 600×800 | 3:4 | 768x1024 |
| 其他平台（默认竖版） | 按平台规格 | 2:3 | 1024x1536 |
内置通路把目标比例写进提示词；API 回退再 export GPT_IMAGE_SIZE（很多代理会忽略、返回约 2:3）。平台有固定上传像素时设置 UPLOAD_SIZE（番茄 600x800）。平台尺寸最终由「导出平台上传尺寸」步骤居中裁剪+缩放保证，不依赖实际出图尺寸。 平台与题材风格见 references/cover-styles.md。
Step 2：题材判定
扫描书名（必要时简介）中的关键词，对照 references/cover-styles.md 的「题材推断规则」表选定题材。
- 单题材命中 → 直接采用
- 多题材命中 → 按优先级取一：仙侠 > 西幻 > 古言 > 现言 > 都市 > 悬疑 > 科幻 > 历史 > 灵异 > 轻小说
- 零命中 → 默认
都市
Step 3：构建提示词
提示词 = 文字层 + 风格层 + 画面层，全部用英文编写。
What ships with it
1 file 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.
- 12d 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-dsh (338 stars, last pushed yesterday), licensed MIT. It adds 93 tokens to every session and 4,917 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to story-cover, differing in 0 lines, and is treated as a copy.
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