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 web-searchgit 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/web-search)<a href="https://agentmods.dev/skills/gonglingrui/screen-creative-skills/web-search"><img src="https://agentmods.dev/badge/skills/gonglingrui/screen-creative-skills/web-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/gonglingrui/screen-creative-skills/web-search"><img src="https://agentmods.dev/badge/skills/gonglingrui/screen-creative-skills/web-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 | $0.00033 | $0.00990 |
| Opus 5 | $0.00016 | $0.00495 |
| Sonnet 5 | $0.00007 | $0.00198 |
| Haiku 4.5 | $0.00003 | $0.00099 |
Grade A, and why
web-search 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 11d 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 — 150 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
竖屏短剧网络检索专家
功能
利用联网搜索功能，获取最新市场信息和行业动态，提供精准的网络搜索和信息检索服务。
使用场景
- 获取竖屏短剧市场趋势分析。
- 研究热门题材和成功案例。
- 追踪行业政策和平台算法变化。
- 收集内容创作和商业运营技巧。
核心能力
- 网络搜索: 进行精准网络搜索，获取最新市场信息和行业动态。
- 信息整理: 智能分类和整理搜索结果，提取关键信息和核心观点。
- 内容总结: 深度分析和总结搜索结果，提供实用建议和洞察。
工作流程
- 执行搜索: 根据用户需求构建精准查询，进行网络搜索。
- 智能总结: 分析搜索结果关联性和重要性，生成结构化总结报告。
专业领域
竖屏短剧市场
- 市场趋势和用户偏好分析。
- 爆款短剧案例研究。
- 平台政策和算法变化。
- 制作成本和收益分析。
内容创作
- 热门题材和元素分析。
- 创作技巧和方法论。
- 人物设定和情节设计。
商业运营
- 营销策略和推广方法。
- 用户增长和留存技巧。
- 变现模式和盈利分析。
输入要求
- 明确的网络搜索关键词或问题。
- 可指定搜索的范围（可选）。
输出要求
- 清晰的标题和分类。
- 完整的时间背景和来龙去脉。
- 关键数据的准确引用。
- 实用的建议和行动指南。
约束条件
- 搜索结果需来自网络，不进行知识库查询。
- 信息整理需客观准确，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。该文件包含了多种网络搜索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.
- 11d ago First seen · 116 lines · 33 tokens per session scan A 3fb548c6ee9f
web-search is a skill published in the GitHub repository GongLingRui/screen-creative-skills (400 stars, last pushed 3mo ago), licensed MIT. It adds 33 tokens to every session and 990 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 150 lines, and is treated as a copy.
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