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 tance-mang/chinese-webnovel-skills --skill submissiongit clone --depth 1 https://github.com/tance-mang/chinese-webnovel-skillsWrote 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/tance-mang/chinese-webnovel-skills/submission)<a href="https://agentmods.dev/skills/tance-mang/chinese-webnovel-skills/submission"><img src="https://agentmods.dev/badge/skills/tance-mang/chinese-webnovel-skills/submission/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/tance-mang/chinese-webnovel-skills/submission"><img src="https://agentmods.dev/badge/skills/tance-mang/chinese-webnovel-skills/submission.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 | $0.00091 | $0.01035 |
| Opus 5 | $0.00046 | $0.00517 |
| Sonnet 5 | $0.00018 | $0.00207 |
| Haiku 4.5 | $0.00009 | $0.00103 |
Grade A, and why
submission scanned grade A with 0 findings 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
投稿过稿诊断（submission）
写得好不一定签得了约。本技能从编辑/签约视角体检稿子，帮作者过稿。
何时用
- 准备投稿/签约，想先自检
- 写/优化书名、简介、标签
- 黄金三章过稿体检
- "为什么我的书没签约 / 怎么提高过稿率"
工作流
A. 过稿体检（最常用）
- 确认目标平台（番茄/晋江/起点/UC/知乎盐选/Webnovel）→ 调
references/submission-guide.md+references/platform-profiles.md - 核对篇幅/字数门槛（调
references/length-standards.md）：番茄短故事 ≥6000 才能签、长篇首签 ≥2万、全平台分发 ≥8万；字数没到门槛先提示作者补够再投。 - 按"黄金三章过稿标准"逐条核对前三章（调 submission-guide 的自检清单）
- 输出签约可能性评估 + 致命劝退点 + 逐条改法：
【目标平台】
【签约可能性】高/中/低 + 一句话结论
【致命劝退点】最可能被拒的 1-3 点（按编辑视角排序）
- 开篇是否 3 句抓人
- 金手指/卖点上线时机
- 三章内有无小高潮
- 有无大段背景说明文（头号劝退）
- 单章字数/节奏是否合平台
【逐条改法】每个问题给具体改法
【优先级】先改哪个最能提过稿率
B. 书名/简介/标签
- 书名：3 个候选，突出核心卖点和爽点
- 简介：用公式
身份钩 + 金手指转折 + 爽点预期 + 悬念尾钩（见 submission-guide） - 标签：建议 3–5 个，第一个=核心卖点；当下热门标签用
trends联网查
C. 投稿策略
- 一稿多投的平台改造建议（番茄砍铺垫、起点补设定、晋江加情感线）
- 存稿与日更考核提醒
D. 投稿记录联动（记录"为什么没过"）
和创作档案 06_投稿记录.md 联动（格式见 references/project-memory.md、模板 templates/submission-log-template.md）：
- 投稿前：先读
06_投稿记录.md，把历史高频拒因标签（如 #开篇慢 #爽点晚 #同质化）拎出来，本次体检重点查这些，避免重犯。 - 投稿后：用户告诉你结果，追加一条记录：平台/日期/结果/编辑反馈/你的判断/改动/复盘标签。
- 归纳：累计 3 次以上的拒因标签 = 系统性问题，明确指出并给针对性改法。
没有创作档案就提示用
memory建档。
原则
- 站在编辑和系统数据的角度看，不是站在作者自嗨的角度。
- 最常见的拒稿原因是"开篇铺垫太长/爽点太慢"——优先查这个。
- 平台政策会变，涉及"当下平台要什么题材"时，提示用
trends联网核对。
下一步
体检出问题 → 用 hook 改开篇、idea 调卖点、expand 重写三章、review 复检。
投稿前再用
proofread过一遍错别字 + 敏感/违禁词（像番茄后台标红+一键替换），免得因错字/触审被打回。
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 · 60 lines · 91 tokens per session scan A f76583aed5f4
submission is a skill published in the GitHub repository tance-mang/chinese-webnovel-skills (58 stars, last pushed 3mo ago), licensed MIT. It adds 91 tokens to every session and 1,035 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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