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 text-splittergit 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/text-splitter)<a href="https://agentmods.dev/skills/gonglingrui/screen-creative-skills/text-splitter"><img src="https://agentmods.dev/badge/skills/gonglingrui/screen-creative-skills/text-splitter/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/text-splitter"><img src="https://agentmods.dev/badge/skills/gonglingrui/screen-creative-skills/text-splitter.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 | $0.00038 | $0.01123 |
| Opus 5 | $0.00019 | $0.00562 |
| Sonnet 5 | $0.00008 | $0.00225 |
| Haiku 4.5 | $0.00004 | $0.00112 |
Grade A, and why
text-splitter 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.
This is a copy
86% identical to drama-evaluator — 146 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
文本分割工具
功能
将文本分割成指定大小的块，保持语义完整性，便于后续的批处理和分析。
使用场景
- 处理超长文本，将其拆分为智能体可处理的片段。
- 进行文本预处理，为后续的内容分析、摘要或评估任务提供标准化输入。
- 优化文本处理流程，确保每个处理单元的大小可控且语义完整。
核心能力
- 语义完整性优先: 在分割时尽量避免截断句子或段落，优先在自然边界处（如句号、换行符）分割，确保每个块的语义完整性。
- 保持原始格式: 在分割过程中，努力保留文本的原始格式和结构，例如Markdown、HTML标签等。
- 精确控制块大小: 严格按照指定的大小限制进行分割，确保每个文本块不超过预设的最大长度。
- 多种分割策略: 支持基于字符数、token数、段落数或特定分隔符等多种分割策略。
输入要求
- 文本内容: 待分割的原始文本。
- 块大小限制: 每个文本块的最大长度（建议提供字符数或 token 数）。
- 分割策略（可选）: 指定分割时优先考虑的策略，如按句分割、按段落分割、按特定分隔符分割等。
输出格式
【文本分割报告】
- 原始文本长度: [整数] 字/Token
- 目标块大小: [整数] 字/Token
- 实际分割块数: [整数] 块
### 分割结果
- 块1 (长度: [整数] 字/Token): "[内容预览...]"
- 块2 (长度: [整数] 字/Token): "[内容预览...]"
- 块3 (长度: [整数] 字/Token): "[内容预览...]"
...
约束条件
- 分割结果必须严格符合指定的块大小限制。
- 确保在分割时最大限度地保持文本的语义完整性。
- 输出格式必须结构化，清晰展示每个文本块的内容和长度。
- 避免在输出中引入任何额外信息或解释，只提供分割结果。
示例
参见 {baseDir}/references/examples.md 目录获取更多详细示例:
examples.md- 包含不同长度、不同分割策略和复杂文本结构的分割示例。
详细文档
参见 {baseDir}/references/examples.md 获取关于文本分割工具的详细指导与案例。
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、核心能力、输入要求、输出格式的描述，使其更符合命令式语言规范；添加使用场景、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
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 · 106 lines · 38 tokens per session scan A 6c161bcd3084
text-splitter is a skill published in the GitHub repository GongLingRui/screen-creative-skills (402 stars, last pushed 3mo ago), licensed MIT. It adds 38 tokens to every session and 1,123 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to drama-evaluator, differing in 146 lines, and is treated as a copy.
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