Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/yipng05-max/-skills/cnki-advanced-search)<a href="https://agentmods.dev/skills/yipng05-max/-skills/cnki-advanced-search"><img src="https://agentmods.dev/badge/skills/yipng05-max/-skills/cnki-advanced-search/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/yipng05-max/-skills/cnki-advanced-search"><img src="https://agentmods.dev/badge/skills/yipng05-max/-skills/cnki-advanced-search.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 | $0.00212 | $0.04663 |
| Opus 5 | $0.00106 | $0.02331 |
| Sonnet 5 | $0.00042 | $0.00933 |
| Haiku 4.5 | $0.00021 | $0.00466 |
Grade A, and why
cnki-advanced-search 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.
curl -s http://localhost:9222/json/version 2>&1 How it starts
The opening of the file, as written. The whole thing — 356 lines — stays where its author put it; the contents beside it link to each section on GitHub.
知网高级检索论文工具
调用 Python Playwright 脚本（scripts/cnki_search.py）执行全流程自动化检索，无需 MCP 工具操作浏览器。
Step 0: 解析用户输入并制定检索策略（倒剥洋葱法）
0.1 识别输入类型
类型一：单关键词（用户给出一个词或概念）
→ 将该词及其同义词、同位词用 + 连接，填入单个检索框。
例：用户说"情感劳动"→ 情感劳动 + 情绪劳动 + 情感工作
类型二：研究选题 / 研究问题（用户给出包含多个概念的完整表述）
→ 从选题中提取 2-4 个核心概念，每个概念分别扩展同义词/同位词，各自作为一个检索组，组间关系为 AND（联合检索）。
例：用户说"超大城市老旧社区数字治理的悬浮与重建"→ 提取三组核心概念：
- 第一组（场所）：
老旧社区 + 老旧小区 + 城市社区 - 第二组（议题）：
数字治理 + 数字化治理 + 数字技术治理 - 第三组（机制）：
技术悬浮 + 数字悬浮 + 技术失灵
三组形成 AND 联合检索，聚焦"老旧社区 × 数字治理 × 悬浮机制"的交叉文献。
注意：不要把一个选题的几个概念各自独立检索再合并，那会检出大量不相关文献。AND联合检索才能聚焦核心文献。
0.2 上位概念预分析（关键步骤）
填词之前，对每个概念组完成以下判断：
判断该组词是否"过于精确/小众"：
- 新兴理论术语（如"技术悬浮""制度悬置"）
- 极具体的场所或现象描述（如"老旧社区""城中村"）
- 近几年才出现的政策/实践概念（如"数字乡村""反向育儿"）
如果某组词落入上述类别，立即在该组内加入上位概念（用 + OR关系），不要等到检索失败后才扩展。
| 概念类型 | 精确词 | 主动纳入的上位概念/兜底词 |
|---|---|---|
| 新兴理论术语 | 技术悬浮 + 数字悬浮 | 技术失灵 + 数字鸿沟 + 基层数字化 |
| 具体场所 | 老旧社区 + 老旧小区 | 城市社区 + 社区治理 |
| 新政策概念 | 数字乡村 | 农村数字化 + 乡村振兴 + 农村信息化 |
| 具体机制 | 制度悬置 | 制度失效 + 制度执行 + 基层治理 |
规则：宁可初始词组稍宽，也不要等检索为0后才想起扩展。上位概念应在设计时就一并纳入同一组的
+OR列表中。
0.3 倒剥洋葱策略（结果不足时自动降级）
先用全部概念组 AND 检索（最聚焦层）。若检索结果过少（< 20篇），自动减少 AND 组数，最少保留 2 组 AND，不自动降至 1 组：
| 层级 | 策略 | 适用场景 |
|---|---|---|
| 第1层（最聚焦） | 所有概念组 AND | 交叉研究、新兴议题 |
| 第2层 | 去掉最次要的一组，保留核心 N-1 组 AND | 第1层结果 < 20篇 |
| 第3层（底线） | 保留最核心的 2 组 AND | 第2层结果仍 < 20篇 |
去组顺序原则：先去掉与研究问题关系最外围的概念组（如修饰性概念、情境概念），最后保留最核心的理论/机制概念组。
0.4 向用户确认
列出拟定的检索分组和当前层级策略，等用户确认后再执行。格式示例：
检索策略：第1层（3组 AND 联合检索）
- 组1（场所）：老旧社区 + 老旧小区 + 城市社区 + 社区治理
- 组2（议题）：数字治理 + 数字化治理 + 数字技术治理
- 组3（机制）：技术悬浮 + 数字悬浮 + 技术失灵 + 基层数字化
若结果 < 20篇，将自动降至第2层（去掉组3，保留组1 AND 组2）
若仍 < 20篇，保留2组AND并停止降级，提示调整关键词
0.5 结果反思触发条件
脚本报告以下情况时，必须停下来重新思考关键词，不能直接导出：
| 情况 | 诊断方向 |
|---|---|
| 2组AND结果为0 | 两组词都太专 → 各自替换为更高层的上位概念 |
| 2组AND结果 < 5篇 | 某组词太冷僻 → 找出哪组更窄，优先替换该组 |
| 2组AND结果 5-19篇 | 边界情况 → 尝试在某一组补充1-2个上位概念后重检索 |
底线原则：宁可修改关键词重跑，也不接受"2组AND < 20篇"的结果直接导出。1组AND的结果范围太宽，不具备文献聚焦价值。
Step 0.5: 检查 Chrome 调试模式
What ships with it
3 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 · 356 lines · 212 tokens per session scan A 5dcfee2ecfbb
cnki-advanced-search is a skill published in the GitHub repository yipng05-max/-skills (285 stars, last pushed 4mo ago), licensed MIT. It adds 212 tokens to every session and 4,663 once invoked, about $0.0011 per session on Opus 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.
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