FireRed-OpenStoryline is an AI video-editing agent that turns natural-language instructions into planned and coordinated editing actions. It is for beginners, creative users, and developers who want help searching media, generating scripts, selecting music or narration, and assembling videos through conversation. The catalogue contains reusable Style Skills for guiding consistent video-production workflows.
Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
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.
[](https://agentmods.dev/skills/fireredteam/firered-openstoryline/openstoryline-use)<a href="https://agentmods.dev/skills/fireredteam/firered-openstoryline/openstoryline-use"><img src="https://agentmods.dev/badge/skills/fireredteam/firered-openstoryline/openstoryline-use/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/fireredteam/firered-openstoryline/openstoryline-use"><img src="https://agentmods.dev/badge/skills/fireredteam/firered-openstoryline/openstoryline-use.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 | $0.00080 | $0.03677 |
| Opus 5 | $0.00040 | $0.01839 |
| Sonnet 5 | $0.00016 | $0.00735 |
| Haiku 4.5 | $0.00008 | $0.00368 |
Grade A, and why
openstoryline-use scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST "http://127.0.0.1:8005/api/sessions" How it starts
The opening of the file, as written. The whole thing — 337 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenStoryline Usage Skill
你负责在“已安装完成”的前提下,执行 OpenStoryline 的实际剪辑流程。 OpenStoryline 是一个剪辑 Agent,用户可使用自己的素材,通过自然语言对话的方式剪辑视频。内置素材搜索、内容理解、生成字幕、文字转语音等功能,用户可以多次提出具体的剪辑/修改意见。
目标是:使用已有脚本,稳定地完成一次从启动服务到产出视频的闭环;并且支持在同一个 session_id 上继续对话、二次编辑、重新生成新视频。
Scope
此技能只处理“使用与剪辑”:
- 检查并修改
config.toml的必要字段。 - 启动 MCP server。
- 启动
uvicorn agent_fastapi:app。 - 创建 session 并发送剪辑请求。
- 等待并验证输出视频产物。
- 在同一个
session_id上继续对话,执行二次编辑。 - 验证二次编辑后是否生成了新的
output_*.mp4。
不处理完整安装流程(依赖安装、模型下载、资源下载等),那是安装技能的范围。如果在启动时遇到问题,怀疑是安装问题,再去查看安装Skill openstoryline-install
Core Rules
- 默认只监听
127.0.0.1,不要主动暴露到局域网。 - 优先复用现有脚本,不要重复造轮子:
- 修改配置脚本:位于代码仓库
scripts/update_config.py - Web 服务桥接脚本位于当前 skill 目录下的
scripts/bridge_openstoryline.py。请先定位当前 skill 目录,再拼接scripts/bridge_openstoryline.py
- 修改配置脚本:位于代码仓库
- 长驻服务(MCP / Web)必须按“长驻进程”方式启动,并持续观察日志;不要把启动命令当成一次性探测命令。
- 不要在启动命令后面追加这些包装:
| head| tailgreptimeoutsleeppkill- 以及其它会截断日志、提前退出、强行杀进程的包装
- 询问用户需要剪辑哪些素材及其路径。
- 第一轮创建 session 后返回的
session_id必须保存;后续继续对话、二次编辑都依赖它。 - 如果服务端提示“上一条消息尚未完成,请稍后再发送”,不要新建 session;优先等待,必要时只终止卡住的本地 bridge 进程,然后继续复用原
session_id重试。 - 不要在任务执行中途主动终止 MCP / Web 服务,除非用户明确要求停止,或者服务本身已经确认失活。
- 每次完成任务后,都要向用户明确返回:
session_id- 最终视频
.mp4的完整路径 - 如有二次编辑,还要说明是否生成了新的输出文件
- 下面的示例命令都使用
source .venv/bin/activate作为示例,你需要根据用户实际使用的环境,替换成正确的命令(例如conda activate)。 - 遇到端口被占用的情况,优先换一个端口。
OpenClaw Execution Strategy (Important)
如果你是OpenClaw,一定注意以下关键点:
长驻服务怎么跑
对于以下两类命令:
PYTHONPATH=src python -m open_storyline.mcp.serveruvicorn agent_fastapi:app --host 127.0.0.1 --port 8005
必须按“长驻进程”处理:
- 用
exec启动,并开启 PTY(如果工具支持pty: true,就开启)。 - 启动后不要立刻判失败,MCP Server启动需要几分钟的时间。
- 用
process poll/process log持续观察返回的内容,一定不要急着杀掉进程。 - 看到成功日志再继续下一步。
一次性命令怎么跑
以下命令适合普通一次性 exec:
- 修改
config.toml - 创建 session
- 在现有
session_id上继续对话 - 查找
.mp4 - 查看文件大小
观察哪个日志最有用
实测中,Web 服务日志 最适合看剪辑进度。
常见正常流程节点包括:
filter_clipsgroup_clipsgenerate_scriptgenerate_voiceoverrender_video
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 · 337 lines · 80 tokens per session scan A 039576d90fae
openstoryline-use is a skill published in the GitHub repository FireRedTeam/FireRed-OpenStoryline (3,389 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 80 tokens to every session and 3,677 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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