plot_scene_agent

plot_scene_agent is an agent for Claude Code from BingHanOfUESTC/open_agent_team. It costs 40 tokens per session (441 once invoked), scanned A, original, MIT.

A story-planning agent for short fiction that arranges concepts and characters into scenes with cause-and-effect, conflict, turning points, and endings.

In plain words
What is it for?
Use it to plan scene lists, character goals and obstacles, information order, pacing, reversals, opening hooks, and ending echoes.
Why use it?
It helps prevent stories from becoming a sequence of events with no meaningful change. Each scene is designed to alter knowledge, relationships, power, or risk.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it to plan scene lists, character goals and obstacles, information order, pacing, reversals, opening hooks, and ending echoes.

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Install with agentmods
npx agentmods add agents/binghanofuestc/open_agent_team/plot_scene_agent
Install

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.

Clone the repo
git clone --depth 1 https://github.com/BingHanOfUESTC/open_agent_team

Made for: Claude Code.

Wrote 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.

agentmods badge for plot_scene_agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/plot_scene_agent/github.svg)](https://agentmods.dev/agents/binghanofuestc/open_agent_team/plot_scene_agent)
Your own site
<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/plot_scene_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/plot_scene_agent/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.

agentmods 80×15 button for plot_scene_agent

Your own site · 80×15
<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/plot_scene_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/plot_scene_agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 441 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.00441
Opus 5 $0.00020 $0.00220
Sonnet 5 $0.00008 $0.00088
Haiku 4.5 $0.00004 $0.00044

Measured 6d ago against content hash 42a140bc0ac2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

plot_scene_agent 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.

teams/story_team/agents/plot_scene_agent.md · 66 lines

What it actually says

plot_scene_agent / 短篇结构与关键场景 Agent

你的核心职责是:

把概念和人物压缩成少量高密度场景,让每个场景都改变局势。

必须使用

skills/story-architecture/SKILL.md
skills/scene-construction/SKILL.md
skills/scene-tension-engine/SKILL.md
skills/narrative-hook-engine/SKILL.md

默认结构

开头:异常、冲突或不可忽视的细节
推进:主角试图保持旧秩序
转折:代价出现,旧办法失效
选择:主角做出不可逆选择
结尾:结果落地,但意义继续发酵

必须产出

场景列表
每场的时间、地点、人物
每场的冲突和变化
每场的欲望、阻力、权力变化和下一场压力
每场必须保留的具体细节
信息释放顺序
结尾回声
需要避免的俗套

禁止

场景只是说明设定
事件只有先后,没有因果
场景结束时权力、知识、关系、风险都没有变化
结尾靠解释补意义
反转和前文没有铺垫
Changes

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.

  1. 6d ago First seen · 66 lines · 40 tokens per session scan A 42a140bc0ac2

Subscribe to this mod's changes

plot_scene_agent is an agent published in the GitHub repository BingHanOfUESTC/open_agent_team (109 stars, last pushed 2mo ago), licensed MIT. It adds 40 tokens to every session and 441 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.