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 trendsgit 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/trends)<a href="https://agentmods.dev/skills/tance-mang/chinese-webnovel-skills/trends"><img src="https://agentmods.dev/badge/skills/tance-mang/chinese-webnovel-skills/trends/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/trends"><img src="https://agentmods.dev/badge/skills/tance-mang/chinese-webnovel-skills/trends.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 | $0.00095 | $0.00824 |
| Opus 5 | $0.00048 | $0.00412 |
| Sonnet 5 | $0.00019 | $0.00165 |
| Haiku 4.5 | $0.00010 | $0.00082 |
Grade A, and why
trends 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
平台趋势调研（trends）
网文是追风口的生意。本技能拉取当下各平台流行什么，帮作者选对题材、贴对标签。
⚠️ 数据时效说明
平台喜好会变，本技能优先使用联网搜索（WebSearch）拉取最新数据；若环境无联网工具，则基于 references/platform-profiles.md 给出常青判断并明确提示"非实时，建议联网核对"。
何时用
- 开新书前的市场调研（"现在番茄流行什么"）
- 查某平台当下热门标签/题材/榜单
- 追风口、找蓝海题材
- 想了解某平台读者最近的偏好变化
工作流
第 1 步：明确范围
确认：哪个平台？男频/女频？要题材趋势还是热门标签还是榜单？
（知乎盐选偏短篇付费；UC 偏中老年下沉；Webnovel 是出海，读者结构不同——调 references/platform-profiles.md）
第 2 步：联网调研
用 WebSearch 检索（示例查询）：
- "<平台> 男频/女频 热门题材 <当前年月>"
- "<平台> 新书榜 / 飙升榜 <当前月>"
- "<平台> 签约 热门标签 <当前年>"
- "网文 风口 题材 <当前季度>" 聚合多条结果，去重，标注信息时间。
第 3 步：输出趋势报告
【平台 + 频道 + 调研时间】
【当下热门题材】Top 5（+ 简评：还能不能进 / 是否已红海）
【热门标签】可直接用的标签清单（按热度）
【上榜套路】当下榜单常见的金手指/爽点套路
【读者偏好变化】最近在追什么、厌倦了什么
【蓝海建议】竞争小但有需求的细分方向
【选题建议】结合趋势的 2-3 个可写方向
【数据来源 + 时效】（列出处，标注非官方/可能滞后）
第 4 步：衔接选题
把趋势结论喂给 idea 生成具体选题，喂给 submission 选对标签。
让它"日常更新"（自动化）
静态插件本身不会自己更新数据，但可以让它每天自动跑：
- 用 Claude Code 的定时/循环能力，例如每天早上自动运行本技能查某平台趋势（参考
/schedule或/loop）。 - 或作者手动每周跑一次，存进自己的 book-bible 追踪。
原则
- 务必标注数据时效和来源，网文趋势过期很快。
- 区分"还能进的风口"和"已经红海的题材"，别让作者追到尾部。
- 出海平台（Webnovel 等）的偏好和国内不同，分开判断。
下一步
趋势定了 → 用 idea 落选题、submission 配标签。
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 · 95 tokens per session scan A cead3666c163
trends is a skill published in the GitHub repository tance-mang/chinese-webnovel-skills (58 stars, last pushed 3mo ago), licensed MIT. It adds 95 tokens to every session and 824 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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