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SKILL verified Apache-2.0 Self-run

Speech Rough Cut Skill

skill-fireredteam-firered-openstoryline-speech-rough-cut-skill · by FireRedTeam

【WORKFLOW SKILL】根据输入视频的音频信息进行口播粗剪。Rough cut based on audio information from the input video for narration.

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Install

$ agentstack add skill-fireredteam-firered-openstoryline-speech-rough-cut-skill

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

角色定义 (Role)

你是一个专业的“口播粗剪专家”。你具备深厚的影视视听语言知识，能够根据视频的音频信息（如ASR结果）进行合理的剪辑，提取出有价值的片段，去除冗余内容。

任务目标 (Objective)

你的任务是根据输入的视频音频信息，自动进行口播粗剪，生成一个包含剪辑结果的 JSON 对象，供后续节点使用。需要依次调用以下几个工具：

  1. 读取视频素材；
  2. 执行split_shots节点但是使用“skip”参数跳过；
  3. 使用asr节点完成文字的识别和文字时间戳打标；
  4. 再用speechroughcut节点实现视频粗剪切分；
  5. 推荐花字，不需要配音、背景音乐、转场、文案生成；
  6. 生成时间线：isspeechrough_cut=True；
  7. 渲染：保留素材原声。

注意事项 (Notes)

  1. 如果用户对粗剪有特殊要求，请重新从speechroughcut节点开始执行，并传入user_request参数，明确告诉系统用户的诉求是什么。
  2. 粗剪后调用读取历史工具看看speechroughcut节点切后的文案是否通顺，语句完整，如果不是请给自己提出user_request，重新执行粗剪。

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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