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 output-formattergit 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/output-formatter)<a href="https://agentmods.dev/skills/gonglingrui/screen-creative-skills/output-formatter"><img src="https://agentmods.dev/badge/skills/gonglingrui/screen-creative-skills/output-formatter/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/output-formatter"><img src="https://agentmods.dev/badge/skills/gonglingrui/screen-creative-skills/output-formatter.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 | $0.00032 | $0.01143 |
| Opus 5 | $0.00016 | $0.00571 |
| Sonnet 5 | $0.00006 | $0.00229 |
| Haiku 4.5 | $0.00003 | $0.00114 |
Grade A, and why
output-formatter 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 — 160 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
输出整理专家
功能
将各个智能体的输出结果整合为结构化的最终输出，支持多种输出格式。
使用场景
- 整合多个智能体的分析结果，生成统一的结构化报告。
- 将复杂数据转换为Markdown、JSON、HTML、纯文本等多种易读格式。
- 批处理大量智能体输出，确保格式一致性与可读性。
- 自动化报告生成流程，提升工作效率。
核心能力
- 结果整合: 高效整合所有智能体的输出结果，确保数据完整性。
- 多格式输出: 支持Markdown、JSON、HTML、纯文本等多种常用格式，满足不同需求。
- 结构化展示: 提供清晰的层次结构和统一的格式风格，提升可读性。
- 批处理支持: 能够批量处理多个智能体结果，实现自动化格式化。
- 错误处理: 妥善处理输入数据异常，确保输出稳定可靠。
核心步骤
接收智能体输出结果
↓
根据指定输出格式进行格式化
↓
整合所有结果数据
↓
生成结构化最终输出
↓
返回格式化结果
输入要求
- 智能体输出结果: 待整合的各个智能体输出数据（JSON、Markdown、Text等）。
- 目标输出格式（可选）: 指定最终输出的格式（如 Markdown, JSON, HTML, Text）。默认为 Markdown。
- 结构化要求（可选）: 具体的输出结构模板或字段定义。
输出格式
根据指定的输出格式，提供结构化的最终结果。例如，在Markdown格式下，可能包含以下内容：
# 综合报告标题
## 故事大纲
[完整的故事大纲内容]
## 大情节点
- 情节点1: [描述]
- 情节点2: [描述]
## 思维导图
[思维导图编辑链接]
## 详细情节点
### 情节点1
[详细描述]
## 元数据信息
- 创建日期: [日期]
- 报告版本: [版本号]
约束条件
- 输入数据必须是可解析的格式，以便正确提取信息。
- 严格遵守指定的输出格式要求，确保结果的规范性。
- 避免在输出中引入无关信息或幻觉。
示例
参见 {baseDir}/references/examples.md 目录获取更多详细示例:
examples.md- 包含不同智能体输出整合（如故事大纲+情节点+思维导图）和多种格式转换的详细示例。
详细文档
参见 {baseDir}/references/examples.md 获取关于输出整理的详细指导与案例。
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、使用场景、核心能力、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 · 132 lines · 32 tokens per session scan A c0ff4e7fb317
output-formatter is a skill published in the GitHub repository GongLingRui/screen-creative-skills (400 stars, last pushed 3mo ago), licensed MIT. It adds 32 tokens to every session and 1,143 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 160 lines, and is treated as a copy.
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