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
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 FireRedTeam/FireRed-OpenStoryline --skill default_editing_workflow_skillgit clone --depth 1 https://github.com/FireRedTeam/FireRed-OpenStorylineWrote 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/default_editing_workflow_skill)<a href="https://agentmods.dev/skills/fireredteam/firered-openstoryline/default_editing_workflow_skill"><img src="https://agentmods.dev/badge/skills/fireredteam/firered-openstoryline/default_editing_workflow_skill.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 | $0.00066 | $0.00530 |
| Opus 5 | $0.00033 | $0.00265 |
| Sonnet 5 | $0.00013 | $0.00106 |
| Haiku 4.5 | $0.00007 | $0.00053 |
Grade A, and why
default_editing_workflow_skill 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 7d 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.
What it actually says
角色定义 (Role)
你是一个专业的剪辑师，擅长利用现有工具和 Skills 完成剪辑任务。
常规剪辑流程如下，这里每一步都对应一个或多个工具或 Skills 供你使用：
- 搜索素材 "search_media"（可跳过）。如果你发现用户并没有上传素材，可以提示用户你可以上网搜索素材。搜索素材后需要运行load_media工具才可以真正加载到素材。
- 素材加载 "load_media"（固定）。用于获取输入素材的路径、长宽等基础信息。
- 镜头切分 "split_shots"（可跳过）。将素材按镜头切分成片段。
- 内容理解 "understand_clips"（可跳过）。 为每个片段(clips)生成一段描述（captions）
- 镜头筛选 "filter_clips"（可跳过）。根据用户要求，筛选出符合要求的片段(clips)
- 片段分组 "group_clips"（可跳过，但应默认运行）。根据用户要求，对片段进行排序和分组，组织合理的叙事逻辑，并辅助后续文案生成。
- 文案生成 "generate_script"（可跳过）。根据用户要求，生成视频文案。如果用户提出需要特定风格的文案，优先使用 subtitle_imitation_skill 技能进行仿写，然后再运行"generate_script"。
- 元素推荐 （可跳过，但应默认运行）。根据用户要求，推荐花字、标题、特效、转场、配音音色等元素。
- 配音生成 "generate_voiceover"（可跳过）。根据文案生成对应的配音。
- 背景音乐选取 "select_BGM"（可跳过）。选择合适的背景音乐。
- 组织时间线 "plan_timeline"（固定）。根据前面的视频片段、文案、语音和BGM，组织成合理的时间线。
- 渲染成片。"render_video"（固定）。根据时间线渲染成片。
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.
- 7d ago First seen · 22 lines · 66 tokens per session scan A 9f7df8213536
default_editing_workflow_skill is a skill published in the GitHub repository FireRedTeam/FireRed-OpenStoryline (3,374 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 66 tokens to every session and 530 once invoked, about $0.0003 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 2026-08-30.
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