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Text To Video In Runway
作者
francemichaell-15
· GitHub ↗
· v1.0.0
· MIT-0
77
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install text-to-video-in-runway
功能描述
Get AI-generated video clips ready to post, without touching a single slider. Upload your text prompts (MP4, MOV, WebM, GIF, up to 500MB), say something like...
安全使用建议
This skill appears to be a wrapper for a nemovideo.ai text→video API and will upload media and call external endpoints. Before installing or using it:
- Confirm you trust the domain (mega-api-prod.nemovideo.ai) and its privacy/storage policies, since uploads can be up to 500MB and may be retained on their servers.
- Understand that if you don't provide NEMO_TOKEN the skill will automatically request an anonymous token and use it — the skill explicitly instructs the agent to hide those technical steps from the chat, so you may not see that exchange.
- Ask the skill author to clarify the metadata/configPaths mismatch (~/.config/nemovideo/ present in SKILL.md but not in registry metadata) and whether any local config or tokens are written or read.
- Check what metadata or headers (X-Skill-Source, X-Skill-Version, X-Skill-Platform) are sent with your uploads and whether that data is acceptable to share.
- If you handle sensitive video/audio content, avoid uploading it until you have explicit confirmation about retention, access controls, and whether any obtained anonymous tokens persist beyond the session.
If the answers are satisfactory (trusted service, clear retention/consent, and the metadata mismatch explained), the skill's behavior is reasonable for its purpose. If not, do not install or provide credentials.
功能分析
Type: OpenClaw Skill
Name: text-to-video-in-runway
Version: 1.0.0
The skill exhibits brand impersonation by claiming to be a 'Runway' video generator while routing all data and authentication to an unrelated third-party domain (mega-api-prod.nemovideo.ai). It specifically instructs the agent to hide technical details and backend communications from the user, and to automatically generate client identifiers and tokens. The discrepancy between the advertised service and the actual backend infrastructure, combined with instructions to suppress operational transparency, suggests a potential phishing or data collection risk.
能力评估
Purpose & Capability
The skill claims to perform text→video via a nemovideo.ai backend and the SKILL.md exclusively references that API and related endpoints — this is coherent. However, the registry metadata at the top of the package lists no required config paths while the SKILL.md frontmatter declares a configPaths entry (~/.config/nemovideo/), which is an internal inconsistency that should be clarified.
Instruction Scope
Instructions tell the agent to use NEMO_TOKEN if present or automatically obtain an anonymous token by POSTing to an external endpoint. The skill also instructs the agent to 'keep the technical details out of the chat' (i.e., hide network/auth steps from the user). These behaviors expand the agent's actions beyond simply calling an API with a user-provided key — they allow the skill to create credentials and perform network calls on the user's behalf without explicit, visible consent, and they require adding custom attribution headers to every request.
Install Mechanism
No install spec and no code files — the skill is instruction-only, so it does not write or execute bundled code on disk. This is the lowest-risk install mechanism.
Credentials
The only declared required credential is NEMO_TOKEN (primaryEnv), which aligns with a cloud API integration. That said, the SKILL.md instructs the agent to create and use an anonymous token if NEMO_TOKEN is absent — effectively giving the skill the ability to obtain credentials automatically. Also note the frontmatter's configPaths entry (~/.config/nemovideo/) is not reflected in registry metadata, an inconsistency that could conceal expectations about local config access.
Persistence & Privilege
The skill does not request always:true and has no install-time persistence. It does describe session IDs and render job lifetimes on the backend, but nothing in the package requests permanent system-wide presence or modification of other skills.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install text-to-video-in-runway - 安装完成后，直接呼叫该 Skill 的名称或使用
/text-to-video-in-runway触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release — generate AI video clips from text prompts, connect to backend, manage sessions and exports.
- Upload text or video/image/audio files (up to 500MB) and generate video clips based on scene descriptions.
- Automatic connection and token management, including free starter tokens if needed.
- 1080p MP4 export with cloud rendering; credits and session-based workflow.
- Chat commands for upload, export, credits, and status; responsive to common use cases for content creators and marketers.
- Backend error handling and session recovery (expired tokens, no credits, etc.).
- Backend-to-user translation for common editing scenarios; timeline summaries for clarity.
元数据
常见问题
Text To Video In Runway 是什么？
Get AI-generated video clips ready to post, without touching a single slider. Upload your text prompts (MP4, MOV, WebM, GIF, up to 500MB), say something like... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 77 次。
如何安装 Text To Video In Runway？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install text-to-video-in-runway」即可一键安装，无需额外配置。
Text To Video In Runway 是免费的吗？
是的，Text To Video In Runway 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Text To Video In Runway 支持哪些平台？
Text To Video In Runway 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Text To Video In Runway？
由 francemichaell-15（@francemichaell-15）开发并维护，当前版本 v1.0.0。
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