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 gogoingai/wenqu-skills --skill wenqu-librarygit clone --depth 1 https://github.com/gogoingai/wenqu-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/gogoingai/wenqu-skills/wenqu-library)<a href="https://agentmods.dev/skills/gogoingai/wenqu-skills/wenqu-library"><img src="https://agentmods.dev/badge/skills/gogoingai/wenqu-skills/wenqu-library/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/gogoingai/wenqu-skills/wenqu-library"><img src="https://agentmods.dev/badge/skills/gogoingai/wenqu-skills/wenqu-library.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 | $0.00112 | $0.03686 |
| Opus 5 | $0.00056 | $0.01843 |
| Sonnet 5 | $0.00022 | $0.00737 |
| Haiku 4.5 | $0.00011 | $0.00369 |
Grade A, and why
wenqu-library 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.
How it starts
The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
文库(Library)Skill
用户输入工具
当本技能需要用户确认选择、补充必要信息或授权有副作用的操作时:
- 优先使用当前运行时提供的原生用户输入工具,例如
AskUserQuestion、request_user_input、clarify、ask_user或等价能力。 - 若没有此类工具,使用带编号或字母选项的文本问答。
- 同一决策阶段中彼此独立的问题可合并提问;后一个问题依赖前一回答时,按优先级逐个问。
- 已由用户当前指令、调用方或文章偏好提供的信息,不重复询问。
- 文中出现的具体工具名均为示例;应替换为当前运行时的等价能力。
定位
文曲创作流程的第一环——博观积累。在动笔写文章之前,先收集和整理素材,让创作有据可依、有米可炊。
文库不是“见什么都存”的素材仓库,而是带着写作意图做收集:当选题、写作目标和大致范围开始清楚后,再去找真正有用的相似文章与相关资料,避免把大量弱相关材料堆进来。
文库不是单篇文章的素材库(那由 wenqu-write 在写作时建立在文章存储 wenqu-skills/{文件名}/references/materials/ 路径下),而是一个跨文章、可长期沉淀的个人知识库:
- 收集技术资料、案例、观点与灵感
- 整理零散信息,形成可复用素材
- 沉淀个人知识资产
- 为后续文章创作(
wenqu-write)提供内容基础
触发识别
| 用户信号 | 流程 |
|---|---|
| "收集素材"、"整理资料"、"建素材库" | 四步收集流程 |
| "沉淀知识"、"积累案例" | 沉淀与分类 |
| "抓取这个网页"、"把这篇公众号存下来" | 下载、整理(流程第 3、4 步) |
存储位置
两级存储,职责不同:
全局文库(跨文章长期资产)
$HOME/.gogoingai/wenqu-skills/library/,按主题/领域分文件:
{主题}.md—— 每个主题一个文件,内含该主题的素材条目- 条目格式:
| 编号 | 来源 | 内容 | 标签 |(编号 L1、L2……) - 只存提炼后的条目和原始链接,不存抓取的原始文件
本篇素材目录(单篇文章工作台)
{项目根目录}/wenqu-skills/{文件名}/references/materials/,由 wenqu-write 在写作流程中建立和使用:
materials/
├── index.md # 素材索引(检索与管理的唯一入口)
├── local/ # 本地素材:源码大段摘录、本地文档导出
├── articles/ # 网页文章:博客、公众号、新闻、教程
├── papers/ # 论文、研究报告
└── docs/ # 官方文档、deep-crawl 整站抓取产物
分类按内容类型分目录;同类文件多时可再按来源站点建二级子目录(如 articles/mp.weixin.qq.com/)。
index.md 索引格式(每条一行):
| 编号 | 摘要 | 来源类型 | 来源 | 检索渠道 | 文件路径 | 用途 | 标签 | 关联章节 | 日期 |
| M1 | xxx 机制源码摘录 | 实现事实 | src/cache.py:42 | 本地文件 | local/cache-lru.md | 事实素材 | 缓存,LRU | 2.1 | 2026-07-25 |
| M2 | 某公众号文章:XX 系统实践 | 外部研究 | https://mp.weixin.qq.com/s/xxx | agent-native、wenqu-cli:sogou | articles/mp.weixin.qq.com/xx.md | 写法参考 | 架构 | 待定 | 2026-07-25 |
登记规则:
- 来源必填:网页素材填完整原始 URL(不是域名,是能回到原文的那条链接);本地素材填
path:line;确实没有来源的标「用户口述或粘贴」 - 来源类型沿用 provenance 词汇:实现事实、团队选择、外部研究、合理推断、简化场景、待确认(边界见
wenqu-write的references/planning/content-provenance.md) - 编号唯一:M1、M2…… 全篇唯一,骨架和审查引用这个编号
- 检索渠道必填:填
agent-native、wenqu-cli:{engine}、wenqu-cli:{engine}:{channel}、用户提供或本地文件;同一 URL 被多个渠道发现时合并填写,不丢渠道信息。channel仅在 CLI 输出不是direct时记录,例如browser或delegate:duckduckgo - 文件路径相对 materials/ 填写;只登记不写文件的短素材(几行数字、一句话事实)该列填
- - 用途分两类:
写法参考(相似文章,不能当事实来源)与事实素材(支撑正文的机制、数字、案例) - 标签:2~4 个关键词,方便 grep 检索;素材多了以后按标签或目录检索,不靠通读
- 关联章节:收集阶段先填「待定」,骨架定稿后回填章节号
- 素材有实体文件时才进目录;小片段直接写在 index.md 摘要列即可,不为每条都建文件
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.
- 12d ago First seen · 183 lines · 112 tokens per session scan A 33d9947f2f79
wenqu-library is a skill published in the GitHub repository gogoingai/wenqu-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 112 tokens to every session and 3,686 once invoked, about $0.0006 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 2026-08-31.
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