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 agentmods add skills/gonglingrui/screen-creative-skills/plot-workflownpx skills add GongLingRui/screen-creative-skills --skill plot-workflowgit 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/plot-workflow)<a href="https://agentmods.dev/skills/gonglingrui/screen-creative-skills/plot-workflow"><img src="https://agentmods.dev/badge/skills/gonglingrui/screen-creative-skills/plot-workflow.svg" alt="Measured on agentmods" 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 | $0.00041 | $0.00971 |
| Opus 5 | $0.00020 | $0.00485 |
| Sonnet 5 | $0.00008 | $0.00194 |
| Haiku 4.5 | $0.00004 | $0.00097 |
Grade A, and why
plot-workflow 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 6d 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 script-evaluator — 143 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
大情节点与详细情节点工作流编排专家
功能
编排和协调大情节点与详细情点的一键生成工作流，实现智能体间的模块化外包和上下文隔离。
使用场景
- 一键生成故事的大情节点和详细情节点。
- 需要模块化智能体协作的复杂分析任务。
- 需进行上下文隔离的分析工作。
核心能力
- 工作流编排与协调: 协调专业智能体执行，管理工作流执行流程。
- 智能体间模块化外包: 将任务分解为模块，分配给专业智能体处理。
- 上下文隔离管理: 确保智能体独立性，避免上下文污染。
- 批处理协调: 管理并发执行，优化处理效率。
- 结果整合与格式化: 整合多个智能体输出，提供格式化结果。
工作流程
第一步：接收用户输入并进行参数验证
↓
第二步：执行文本预处理（截断、分割）
↓
第三步：协调批处理执行
↓
第四步：并行调用各个专业智能体
↓
第五步：整合所有智能体的输出结果
↓
第六步：格式化并返回最终结果
输入要求
- 故事文本或故事大纲
- 处理参数（可选）
输出格式
【工作流执行报告】
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
一、执行状态
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- 总步骤数：[数量]
- 已完成步骤：[数量]
- 当前状态：[状态]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
二、各智能体执行情况
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- [智能体1]：[状态] [结果]
- [智能体2]：[状态] [结果]
...
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
三、最终结果
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[整合后的最终结果]
约束条件
- 严格按照工作流步骤执行。
- 确保智能体间的上下文隔离。
- 提供详细的执行状态反馈。
- 处理异常情况并提供降级方案。
示例
请参见 {baseDir}/references/examples.md 获取详细工作流示例。该文件包含了长篇故事或剧本的大情节点与详细情节点一键生成工作流的完整报告。
版本历史
| 版本 | 日期 | 变更 |
|---|---|---|
| 2.1.0 | 2026-01-11 | 优化 description 字段，添加 allowed-tools 和 model 字段，调整主内容语言风格，并引导至 references/examples.md |
| 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.
- 6d ago First seen · 124 lines · 41 tokens per session scan A 012d094c982f
plot-workflow is a skill published in the GitHub repository GongLingRui/screen-creative-skills (390 stars, last pushed 3mo ago), licensed MIT. It adds 41 tokens to every session and 971 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 script-evaluator, differing in 143 lines, and is treated as a copy.
Other skills, from other repositories
agent-orchestrator
Meta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao de workflows multi-skill e registry management.
workers-best-practices
Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checking for common Workers anti-patterns (streaming, floating promises, global state, secrets, bindings, observability). Biases towards retrieval from…
find-journalists
Build, refine, dedupe, and enrich small fit-checked journalist lists for newsjack campaigns. Uses the newsjack CLI (preferred) or the medialyst MCP for news search and journalist enrichment, and falls back to a best-effort local mode with no verified contacts; the agent owns how returned data is organized.
story-origin-check
Recover the first public timestamp and canonical major coverage for a newsjacking signal, then decide whether newer coverage is the same story, a different story, or a materially new development.
relevance-coarse-filter
Cheap, high-recall first-pass filter that removes obvious junk from a detector candidate pool before expensive story-origin research and PR judgment. Decides keep, monitoronly, or reject — never ranks, writes angles, verifies dates, or decides whether to pitch.
annotating-task-lineage
Annotate Airflow tasks with data lineage using inlets and outlets. Use when the user wants to add lineage metadata to tasks, specify input/output datasets, or enable lineage tracking for operators without built-in OpenLineage extraction.