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 GongLingRui/screen-creative-skills --skill knowledge-querygit clone --depth 1 https://github.com/GongLingRui/screen-creative-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/gonglingrui/screen-creative-skills/knowledge-query)<a href="https://agentmods.dev/skills/gonglingrui/screen-creative-skills/knowledge-query"><img src="https://agentmods.dev/badge/skills/gonglingrui/screen-creative-skills/knowledge-query/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/gonglingrui/screen-creative-skills/knowledge-query"><img src="https://agentmods.dev/badge/skills/gonglingrui/screen-creative-skills/knowledge-query.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 | $0.00045 | $0.01145 |
| Opus 5 | $0.00023 | $0.00573 |
| Sonnet 5 | $0.00009 | $0.00229 |
| Haiku 4.5 | $0.00005 | $0.00114 |
Grade A, and why
knowledge-query 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 9d 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.
This is a copy
83% identical to drama-evaluator — 155 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.
What it actually says
竖屏短剧知识库查询专家
功能
专注于知识库查询和信息检索，提供精准的知识库查询和检索服务。
使用场景
- 查询剧本桥段、高能情节、创作技巧等专业知识。
- 检索商业运营、市场分析、用户增长等相关信息。
- 获取影视行业最新动态和案例。
知识库体系
剧本桥段库
- 经典桥段: 包含各种经典的剧本桥段和情节模板。
- 情节设计: 涵盖起承转合的结构化设计方法。
- 冲突设置: 介绍不同类型冲突的构建技巧。
- 转折技巧: 提供情节转折和悬念设置的方法。
短剧高能情节库
- 爆点设计: 阐述高能情节和爆点的设计原理。
- 爽点构建: 识别和构建用户爽点的方法。
- 节奏控制: 掌握情节节奏和情绪节奏的控制技巧。
- 视觉冲击: 设计视觉呈现和冲击力。
工作流程
- 分析需求: 分析用户查询意图和需求，确定最适合的知识库集合。
- 知识检索: 在指定知识库中进行语义搜索，获取相关度最高的知识内容。
- 知识总结: 智能总结和整理知识库内容，提供完整的背景和方法说明。
专业领域
剧本创作
- 故事结构和情节设计
- 人物设定和角色塑造
- 对话写作和语言风格
短剧制作
- 视觉呈现和拍摄技巧
- 剪辑节奏和转场设计
- 音效配乐和氛围营造
商业运营
- 内容策略和定位规划
- 用户增长和留存技巧
- 变现模式和盈利分析
输入要求
- 明确的知识查询关键词或问题。
- 可指定查询的知识库范围（可选）。
输出要求
- 清晰的标题和分类。
- 完整的背景和方法说明。
- 具体的应用场景和案例。
- 实用的技巧和建议。
约束条件
- 检索结果需来自知识库，不进行外部搜索。
- 知识总结需客观准确，不进行主观评论。
- 输出内容应结构化，易于理解和应用。
示例
请参见 {baseDir}/references/examples.md 获取详细示例。该文件包含了多种知识查询场景的完整输出和分析说明。
版本历史
| 版本 | 日期 | 变更 |
|---|---|---|
| 2.1.0 | 2026-01-11 | 优化 description 字段，使其更精简并符合命令式语言规范；模型更改为 opus；优化功能、使用场景、核心步骤、输入要求、输出格式的描述，使其更符合命令式语言规范；添加约束条件、示例和详细文档部分。 |
| 2.0.0 | 2026-01-11 | 按官方规范重构 |
| 1.0.0 | 2026-01-10 | 初始版本 |
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.
- 9d ago First seen · 123 lines · 45 tokens per session scan A 2dfc75396233
knowledge-query is a skill published in the GitHub repository GongLingRui/screen-creative-skills (393 stars, last pushed 3mo ago), licensed MIT. It adds 45 tokens to every session and 1,145 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 83% identical to drama-evaluator, differing in 155 lines, and is treated as a copy.
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